Analytics Engineer Salary in Mumbai - PayScale

As a part of Trade Analytics and Insights, you will be able to combine technical skills, interpersonal skills, and financial markets knowledge to autonomously drive projects forward. You will be expected to work with numerous teams including sales, trading, and controls partners. Projects include creation and proliferation of business insights via automated toolkits, data driven sales lead generation, development of new tools for sales people, development of dashboards for trading and business heads, and some education of the existing sales and trading organization. The key attributes for this candidate will include: Strong team player with an entrepreneurial predisposition and strong interpersonal skills as required to interact with personnel across the team and firm. Ability to parse complex tasks and juggle priorities in a highly dynamic professional environment. Strong initiative, energy and confidence completing assignments with limited / minimal supervision. Detail oriented when it comes to data and project tasks. Excellent communication skills (written & verbal) and relationship management skills. Job Responsibilities Leverage business/markets knowledge and data expertise to provide meaningful insights to business heads. Work with key stakeholders and partners to determine their ideal solution to a given problem. Define the roadmap and requirements to create that solution. Execute that roadmap through SQL, Alteryx, Python, and/or Tableau Leverage Alteryx/Python skills to do data deep-dives Leverage Tableau skills to create dynamic dashboards for senior management Partner effectively across several internal teams and external vendors Required qualifications, capabilities and skills BE/BTech in Comp Science, Information Technology, Data Science, Electronics, Electronics and Telecommunication OR Masters in Data Science, Business Intelligence, Data Analytics 4-6 years of relevant experience in data & analytics Demonstrated experience in Alteryx /SQL/Python (Numpy, Pandas, Matplotlib, Seaborn) Demonstrated experience in Tableau/PowerBI/Qliksense Possess hard programming and data modeling skills combined with the softer communication, analytical thinking and problem-solving skills needed to scope, develop, and deliver elegant solutions to complex problems Preferred qualifications, capabilities and skills: Bachelors/Masters in Data Science, Computer Science, Business Intelligence, Info Tech MBA/CFA is a plus Experience in an equity, fixed income, foreign exchange trading or analytics role is a plus About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamJ.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.​Salary: . Date posted: 03/28/2024 10:25 PM

No Relocation Assistance Offered159203 : Mumbai, Maharashtra, IndiaWho We AreColgate:Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom's of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Pet Nutrition.We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children's oral health.If you want to work for a company that lives by their values, then give your career a reason to smile and join our global teamThe ExperienceIn today's dynamic analytical / technological environment, it is an exciting time to be a part of the Analytics team at Colgate. Our highly insight driven and innovative team is dedicated to driving growth for Colgate Palmolive in this ever:changing landscape.What role will you play as a member of the Colgate's Analytics team?Analytics Engineers role would orchestrate the last:mile data pipelines and deliver data to Analytics Leads and Data Scientists for use in dashboards and modelsThe role would focus on expanding and optimizing our data, data pipeline architecture, data flow and collection for multiple Advanced Analytics projects across Revenue Growth Management, Market Effectiveness, Forecasting and so on.Who are you...You are a function expert ::Explores novel data sources:Provides clean, transformed data ready for analysis:Applies software engineering best practices to analytics code (version control, testing, continuous integration,...):Maintains data documentation and definitions:Supports Data Scientist and Data Analyst by applying transformations for ML models on datasets:Partners with Data Engineers to implement establish the right data and systems for Commercial Analytics:Assist with data:related technical issues and support their data infrastructure needs:You will work on data initiatives and ensure efficient data delivery architecture is consistent throughout ongoing projects.:Work with data and analytics to strive for greater functionality in our data systems:Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re:designing infrastructure for greater scalability, etc:Build and maintain efficient data pipeline architecture in cloud environmentYou connect the dots ::Define data architecture and pipelines for insights and KPI:Perform root cause analysis:Assist with organizational change needs (e.g., training, communications, etc.) as part of roll:out and ongoing support of market data reporting tools and processes.:You are a collaborator ::Collaborate with Data Scientists and Analytics Leads:Ready to work closely with business partners across geographies:Work with data and analytics to strive for greater functionality in our data systems:You are an innovator ::Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re:designing infrastructure for greater scalability, etc:Build and maintain efficient data pipeline architecture in cloud environmentQualificationsWhat you'll need...:Bachelor's degree, Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field a plus:At least 3+ years of professional experience working in Information Technology or Digit

Relocation Assistance Offered Within Country159391 : Mumbai, Maharashtra, IndiaWho We AreColgate:Palmolive Company is a caring, innovative growth company that is reimagining a healthier future for all people, their pets and our planet. Focused on Oral Care, Personal Care, Home Care and Pet Nutrition, we sell our products in more than 200 countries and territories under brands such as Colgate, Palmolive, elmex, hello, meridol, Sorriso, Tom's of Maine, EltaMD, Filorga, Irish Spring, PCA SKIN, Protex, Sanex, Softsoap, Speed Stick, Ajax, Axion, Fabuloso, Soupline and Suavitel, as well as Hill's Pet Nutrition.We are recognized for our leadership and innovation in promoting sustainability and community wellbeing, including our achievements in decreasing plastic waste and promoting recyclability, saving water, conserving natural resources and improving children's oral health.If you want to work for a company that lives by their values, then give your career a reason to smile and join our global teamAbout UsWould you like to be part of a team that is building a future to smile about? What about having the opportunity to collaborate with teams across the world, full of stimulating discussions, and making impactful contributions?If this is how you see your career, Colgate is the place to beOur dependable household brands, dedicated employees, and sustainability commitments make us passionate about building a future to smile about for our employees, consumers, and surrounding communities. We, at Colgate, take immense pride in our brand which fuels our workplace to encourage innovative thinking, champion experimentation, promote authenticity and thus contribute to our enduring success.If you want to work for a company that lives by their values, then give your career a reason to smile...every single day What is the purpose of this role?This role is expected strong expertise in data science and machine learning through leading data collection and mining, data analysis, data visualizations, and predictive/prescriptive modeling efforts to build, test, and maintain analytics solutions which meet key business needs. This role will work with an analytics translator, other data scientists, and key business partners to define the business problem in a way that can be solved analytically.Why is this exciting?You will lead the development of efficient and accurate analytical models (ranging from descriptive to prescriptive) and incorporate them into data products or tools which meaningfully make an impact on the business. So, if you are an experienced Data Scientist passionate about collaborating with cross:functional teams, tackling real:world problems through testing and learning, have an intellectual curiosity to understand and answer questions using data, and are seeking a work environment that fuels learning, all while making a significant impact in oral care, we strongly encourage you .What would be the responsibilities for this role?:Lead multifaceted analytic studies against large and small volumes of data for a variety of problems including projections, classifications, clustering, pattern analysis, simulations and more with junior data scientists:Co:develop an analytics roadmap for the business domain to which you are assigned:Interpret and analyze (structured and unstructured) data using exploratory statistical and mathematical techniques to identify trends, anomalies, and quantify business results:Integrate data science work into user:facing applications and tools with data engineers, business leads, analysts and developers:Build, deploy, maintain, and refresh end:to:end, repeatable, interpretable, dynamic and scalable models that are seamlessly incorporated into analytic data products:Identify and/or create new data as needed for use cases with limited data:Work with data engineers to clean, mass

Seeking product development associate to help strategically transform onboarding platform and tools through a data driven approach.As a team member on the Securities Services Onboarding Product Development team you will an integral part of developing and delivering the vision and strategic roadmap for the On-boarding Transformation.Development of data driven tools and processes for simplification, standardization and optimization across People, Products, Process and Systems in support of on-boarding for the breadth of the Securities Services products is key focus area for the group. As a product development associate you will spend you day-to-day leading the delivery of projects aligned to the end-to-end onboarding for Securities Services products & services strategic roadmap. As a product development onboarding associate, you will work closely on implementing data strategy with Client Onboarding teams, Middle Office teams, Product Development, Data Architects, and various Technology teams to execute and ensure delivery of projects according to agreed timelines and budget. The candidate must demonstrate business leadership and technical skills to learn/understand the technology infrastructure. This role will identify opportunities to improve efficiency and will communicate clearly at all levels, engaging with senior stakeholders for strategic direction. Job Responsibilities: Define complex business data requirements in a simplified manner Help develop strategic vision and solutions for end-to-end onboarding platforms in collaboration with firm wide teams, and Securities Services teams with a sharp focus on business benefits, client service, and controls Owning end to end of the product & process, and the ability to interpret how alternative courses of action impact downstream processes and groups. Interact with all levels of management and operations to review, understand, document, and communicate objectives, business/program needs, risks, constraints and issues. Document traceability of requirements to business objectives - ensure that all requirements are all in support of the business case. Prepare business requirements, review functional requirements, monitor system development/ implementation, User Acceptance testing, production deployment and roll-out, in alignment with business priorities, ensuring product is delivered on time and on budget. Supporting operations team in defining operational processes to support the product. Identifying and manage risks/issues; create solutions to address limitations while minimizing time to market and minimizing control/operational risk. Required qualifications, capabilities and skills : Experience within a financial services product development or onboarding-focused operations or technology role with a strong focus on business analysis and change management. Adept at stakeholder management and demonstrated ability to engage with diverse set of stakeholders. Energetic self-starter that takes initiative and has demonstrated effectiveness working independently and in multi-disciplinary team with the ability to communicate clearly and confidently and influence senior stakeholders. Problem solving skills - demonstrated ability to structure and scope complex problems, apply a range of analytical tools, gain and synthesize insights and develop solutions aligned with strategic goals with a risk and controls mindset Strong data analytics - advanced ability to analyze and interpret data, identify themes, strengths and opportunities and rationalize data to deliver meaningful and commercial metrics for all projects. Strong MS Office skills - Excel, Share Point, Access, Word, Visio and PowerPoint. Strong time management skills, with an ability to multitask and work under pressure and engage with colleagues across regions and time zones. Preferred qualifications, capabilities and skills: Prior experience in client-facing onboarding or product development role within Custody and Fund Services is highly preferred. Prior experience in Securities Services business areas will be highly preferred. About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamThe Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.J.P. Morgan delivers investor solutions that help clients protect their portfolios, optimize their efficiency and maximize opportunities in diverse global markets. Teams support clients across a global custody network spanning 100 markets, with custody and asset servicing, fund accounting and administration, alternative investment services, integrated analytics, agency lending, collateral management and depositary receipt solutions. Clients include asset and fund managers, asset owners, banks and broker-dealers, hedge funds and alternative investors, and insurance companies.Salary: . Date posted: 04/03/2024 10:24 PM

Job Responsibility: Migrate Small Business Data to Public Cloud (AWS and Snowflake) Partner closely with BB Executive Director of Automation and Transformation to execute on new build and conversion book of work to the Cloud data consumption platform; Partner with Data Owners and D&A Leads to understand data roadmap that support analytics needs; Partner with CCB Architecture and technology scrum teams where needed on data modernization; Identify, prioritize, develop and coordinate the migration of legacy and new data needs to align with Small Business Data Strategy; Develop consumption data model that bridges the data within and across line of business to increase scale, use and value; Streamline and automate data assets that support cross-product data sharing, self-serve analytics, and dashboards; Research and identify technology data gaps (missing fields for analytical calculations) and partner with product technology to build into upstream systems to support analytics needs; Define, develop and establish Modeling Team roadmap and implementation planning for our Modeling, Machine Learning & AI Ecosystems; Support data integration projects with external data providers into our systems; Build and incorporate data audit checks and control standardsRequired Qualifications, Skills and Capabilitie 3+ years of analytics, business intelligence, data warehouse, data architecture, or data governance experience Master's or Bachelor's degree in related field (e.g. Data Analytics, Computer Science, Math/Statistics or Engineering) with 3+ years' experience in related discipline Demonstrated understanding in programming languages such as: SQL, SAS, Python, Spark, Java or Scala Experience building relational data models in multiple technology platforms (Teradata, Oracle, Hadoop or Cloud e.g. AWS, GCP, or Azure) Hands-on experience in researching, testing and developing automated data processes including building a common framework to drive consistency and coding best practices Ability to network and work effectively with colleagues at all levels of technical and business expertise Excellent documentation and communication skills both written and verbal Excellent time management, multi-tasking and prioritization skills including ability to self-manage Experience with internal controls and compliance with regulatory and contractual obligations Experience working with data visualization and presentation tools Knowledge of how to appropriate classify risk of data to tag for access management Financial Service industry experience desired, but we are open to evaluating candidates with strong analytics and technical background from other industries Ideally knowledge of Business/Commercial Banking products and services, including deposits, lending, cash management, credit cards and merchant services Preferred Qualifications, Skills and Capabilitie Experience in Big Data and Cloud platforms (Hadoop, Teradata, AWS, GCP, Azure) Experience in using data wrangling tooling (SQL, SAS, Alteryx, Python, Spark, Java, Scala, Snowflake, Redshift, Databricks) Experience in dynamic and interactive reporting/visualization applications such as Tableau Proficient in standard data architecture, data extraction, load processing, data mining and analytical methodology (e.g. logistic regression, match pairs, and neural networks) Proficient in scheduling job workflows using software such as Control-M or Alteryx Scheduler Working knowledge of code versioning software (e.g. Bitbucket) and document change management/workflow software (e.g. JIRA, Confluence)About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamOur Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.Salary: . Date posted: 04/12/2024 10:27 PM

Develop and maintain BI dashboards using Tableau and PowerBI, focusing on HR metrics and analytics.Support Workday reporting efforts, ensuring data accuracy and reliabilityCollect, validate, and analyze HR data from various sources to provide actionable insights.Collaborate with stakeholders to understand their requirements and translate them into effective BI solutions.Take ownership of projects from conception to implementation, proactively identifying opportunities for improvement and innovation.Provide training and support to end-users on utilizing BI tools and dashboards effectively.Stay updated on industry trends and best practices in BI, HR analytics, and data visualization.Bachelor's degree in HR, Business Administration, Computer Science, Information Systems, or related field.2-3 years' work experience as a Reporting Analyst or Data Analyst in large complex corporationsProficiency in Tableau and PowerBI, with experience in building complex dashboards and visualizations.Expert level user of Excel (pivot tables and lookups) and advanced capabilities with balance of MS Office Suite of applicationsStrong understanding of HR processes and metrics, preferably with experience in Workday.Excellent analytical and problem-solving skills, with a demonstrated ability to derive insights from data.Proven track record of successfully managing projects and delivering high-quality solutions on time.Exceptional communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.Self-motivated and proactive, with a strong focus on driving results and continuous improvement.Ability to work independently and thrive in a fast-paced, dynamic environment.Self-motivated, highly organized, and able to manage multiple prioritiesAbility to handle confidential informationIntermediate to advanced computer skills including MS Office applications: Word, Excel, PowerPoint, and Outlook

The Applied AI and Machine Learning team at JP Morgan Corporate Investment Bank combines cutting edge machine learning techniques with the company's unique data assets to optimize the business decisions we make. In this role, you will be part of our industry-leading data analytics team and advance the state-of-the-art in financial applications ranging from generating business intelligence to predictive models and automated decision making. Our work spans the Corporate Investment Banking, with exceptional opportunities in each line of business. The team covers a wide array of activities whether internally or externally focused: Controls, Compliance, Legal, Finance functions, Operations and Digital Investment Banking. Job responsibilities: Conduct end-to-end research such as formulating problems, gathering data, generating hypotheses, developing models and algorithms, conducting experiments, synthesizing results, building prototype applications, communicating the significance of research, and deploying the models following all relevant processes and governance. Anticipate and consider risks when building machine learning solutions and prediction/classification systems. Build and train production grade ML models on large-scale datasets to solve various business use cases for the firm. Develop quantitative and machine learning models for markets data. Develop methodologies for AI/ML model explainability. Analyze trading data, patterns, and trends to detect potential market anomalies. Work with Markets technology to identify and investigate data gaps and curate datasets for modeling. Drive complex projects that require cross-organizational alignment and collaboration. Required qualification, capabilities, and skills Master's, PhD, or equivalent degree program in mathematics, sciences, statistics, econometrics, engineering, financial engineering, computer science, or other quantitative fields Expertise in Time Series Analysis, Forecasting, Statistics Markets domain knowledge and Experience working with equities, bonds, or commodities trading data Experience with SQL and Q query language for KDB Experience with quantitative methods in finance: Probabilistic modeling; Liquidity profiling; Reinforcement Learning; Optimization methods. Experience with Network Analysis Experience with opensource models, machine learning APIs and computational packages. Strong written and oral communication and interpersonal skills Programming experience with Python. Proficient in git version control About usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamThe Corporate & Investment Bank is a global leader across investment banking, wholesale payments, markets and securities services. The world's most important corporations, governments and institutions entrust us with their business in more than 100 countries. We provide strategic advice, raise capital, manage risk and extend liquidity in markets around the world.Salary: . Date posted: 04/17/2024 10:27 PM

You are a strategic thinker passionate about driving solutions in Finance. You have found the right team. As a Business Intelligence professional in our Corporate Sector, you will spend each day defining, refining and delivering set goals for our firm Your team will be the Forecast Aggregation product team, who is responsible for partnering with Planning and Analysis (P&A), Controller, Technology and other product based organizations across the firm to deliver a platform that is leveraged to ingest, catalog, model, enrich, calculate, assess accuracy and report against the firm's financial forecasts and actuals. This consists of a wide range of activities spanning demand management, backlog prioritization, business process design, application design, data analytics, solutions implementation and capability testing. The team leverages the agile framework, developing the product vision and defining OKRs for execution against various initiatives to deliver enhanced data insights, system capabilities and modernization of the forecast data aggregation infrastructure. Job Responsibilities: Leveraging various technologies and data analytics skills to streamline the collection, modeling, calculation, accuracy assessment and reporting for financial data sets (budget, outlook etc.) Developing the future state vision for the data aggregation product, tracking against initiatives and leveraging OKRs to produce weekly/monthly/quarterly and ad-hoc reporting to senior leaders through business reviews Working with technology to modernize the supporting infrastructure and deliver flexible self-service tools to end-users Analyzing, evaluating and challenging both the current and future state business processes and application architecture to identify areas of opportunity for improvement / automation around the forecast data aggregation processes Executing within a fast past environment and leveraging the Agile framework Required qualifications, capabilities, and skills: Bachelor's degree in Accounting, Finance or a subject of a technical nature. 5+ years of work experience, preferably in technology, product ownership and/or finance; within the financial services industry Proven leadership skills, driving teams (including cross-functional and global) to deliver on large financial data platform build initiatives Proficiency with data gathering, modeling and manipulation, analytics and problem solving skills with the ability present conclusions concisely Familiar with financial concepts and various financial calculations leveraged to deliver complete / accurate financial results and business insights Strong verbal and written communication skills, with the ability to articulate complex issues clearly Highly motivated with a proven track record for executing on large to small programs, often under pressure given short lead times or with little information / direction Inquisitive, enthusiastic and diligent team player with the ability to challenge, while at the same time remaining a respected as a trusted partner for the P&A and Technology teams. Highly motivated self-starter with excellent time management/prioritization skillsPreferred qualifications, capabilities, and skills: Data analytics and data modeling using Dodeca SMS BI tools such as Tableau and Alteryx Agile Principles and tools such as Confluence/JIRAAbout usJPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.Salary: . Date posted: 04/18/2024 10:25 PM

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Shift timings - RegularAbout General Mills We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. The awards and recognition we've received showcase our commitment to be a force for good:• World's Most Admired Companies, Fortune 2022 • America's Most Responsible Companies, Newsweek 2022 • 100 Best Corporate Citizens, 3BL 2021 • Best Places to Work for LGBTQ Equality, Human Rights Campaign 2022 • 100 Best Companies, Seramount 2021 • Diversity Best Practices Leading Inclusion Index, Seramount 2021 • Best Companies for Dads, Seramount 2021 • Best Companies for Multicultural Women, Seramount 2021 • Top 10 Companies for Executive Women, Seramount 2021 • Military Friendly Employer Bronze, VIQTORY 2021 • Best Place to Work, Canada, Greater Toronto, 2021 • Top 50 - India's Best Workplaces for Women, 2021 • Top Workplaces in Brazil, 2021 • Asia's Best Workplaces, 2021Hungry for What's Next We exist to make food the world loves, and it shows. Our passion for people, doing good and creating delicious food has energized us for over 150 years. Breaking away from the pack is how we win, so we need your unique perspectives: your quirks, 'crazy' ideas, rigor and insatiable curiosity to make it happen. We want people who constantly experiment, embracing the new and bold, who keep pushing to turn ideas into reality, no matter how big or small. We've learned becoming the undisputed leader in food means continuously reshaping, reimagining and rebuilding- that only happens when you surround yourself with those who are hungry for what's next. For more details check out www.generalmills.comGeneral Mills India Centre General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center was established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabilities, Research & Development.Digital and Technology team Digital and Technology is the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can leveraged to bring efficiency and disruption. Be it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our MillsWorks initiative is where we bring agile@scale delivery model to life. Here, business and technology teams work cohesively in pods as ONE team, driven by a singular mission and focused on delivering value for the Company. Our employees, who work on large technology projects of strategic importance, are the Digital Transformation change agents.Our service partnerships and employee engagement are centered on advancing equity and strengthening communities. We believe in an inclusive culture and trust in the power of people who have a passion for learning and growing with technology. We believe in "Work with Heart". Work with Heart is focused on results, not facetime. If you are passionate about the latest in technology and want to make an impact on the digital transformation journey of a Fortune 500 company, we're waiting for you. Job Overview Role: Sr ML Engineer (Sr. Machine Learning Engineer) Location: Mumbai General Mills, Digital and Technology India, is seeking Sr Machine Learning Engineer to join the Enterprise Data Capabilities Organization. This team builds enterprise level scalable and sustainable data and model pipelines to serve the analytic needs of business impacting problem statements. In this role, you are a critical member of the data science team focused to operationalize the ML and AI models, entails model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.This capability is leveraged to fuel advanced Analytical solutions, Machine Learning and Deep Learning. It is also responsible for implementing and enhancing community of practice to determine the best practices, standards, and MLOps frameworks to efficiently delivery enterprise data solutions at General Mills.This role works in close collaboration with Data Scientists, Data Engineers, Platform Engineers and Tech Expertise to support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency. Role Responsibilities Establish and Implement MLOps practices: Development of end-to-end MLOps framework and Machine Learning Pipeline using GCP, Vertex AI and Software tools Management of data pipelines including config, ingestion and transformation from multiple data source like Big Query, Dbt & Google cloud storage etc Meta Data and statistics Data pipeline setup using GCP Bucket and MLMD Re-Training and Monitoring Pipeline setup with multiple criteria Vertex AI Serving Pipeline with multiple creation Vertex AI and GCP services Resource and Infra Monitoring configuration and pipeline development using GCP Automated pipeline Development for Continuous Integration (CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-native tool Branching strategies and Version Control using GitHub ML Pipeline orchestration and configuration using DAG and Workflow orchestration using airflow/cloud Code refactorization & coding best practices implementation as per industry standard Technology-Stack suggestion based on 360 Deg Implementing MLOps practices on project and follow the set MLOps Support the ML models throughout the E2E MLOps lifecycle from development to maintenance Architecture: Micro Services Architecture and framework Development concept Agile software Development concept Architecture Design for HLD, LLD and Solution design Team Mentoring: Programming language Pattern Design implementation Review projects PR and PBIs and suggestion for improvement Knowledge sharing session with team for specific ML Ops Guide/Mentor team members for MLOps framework development Research, Evolve and Publish best practices: Research and operationalize technology and processes necessary to scale ML Ops Ability to research and recommend MLOps best practices on new technologies, platforms, and MLOps pipeline improvement plan and suggestion Communication and Collaboration: Collaborate with technical teams like Data Science Lead, Data Scientist, Data Engineer and Platform Knowledge sharing with the broader analytics team and stakeholders is Communicate on the on-goings to embrace the remote and cross geography Align on the key priorities and focus Ability to communicate the accomplishments, failures, and risks in timely manner. Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetup Documentation: Document MLOps Process, Development, Architecture & Innovation etc and be instrumental in reviewing the same for other team members Must - have technical skills and experience Minimum qualification- Bachelor's degree (Full Time) Total Experience required 12-15 Years Expertise and at least 5 Years of professional experience in MLOps E2E framework Expertise in Data Transformation and Manipulation through Big-Query/SQL Professional experience Vertex AI and GCP Services Expertise in one of the programming Language Python/R Airflow/Cloud composer Experience Kubernetes/Kubeflow Experience MLflow Professional experience TFX Professional experience Docker -container Experience At least 5yrs of professional experience in the related field of Data Science Strong communication skills both verbal and written including the ability to interact effectively with colleagues of varying technical and non-technical Passionate about agile software processes, data-driven development, reliability, and systematic Good to have skills GCP certifi ca tion Understanding of CPG industry Bcsic understanding of dbt AutoML Concept Machine Learning -Concept of Algorithms Deep Learning- Concept of Algorithms Time Series Analysis- Concept of Algorithms Skill proficiency expectations Expert level Intermediate Level Basic Level • ML Ops E2E framework • Big Query/SQL • Python / R • Vertex AI and GCP Services • Docker-Container • Kubeflow/Kubernetes • TFX • Airflow • MLflow • GitHub • Strong communication skills • Machine Learning and Deep Learning algorithms • Agile techniques • Demonstrates teamworking skills. • Mentor others and lead best practices. • Micro Services concept • Power BI, Tableau, Looker • Good to have domain knowledge: Consumer Packed Goods industry and data sources • Analytic toolset- dbt, atscale, neo4j, AtlassianCOMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.Salary: . Date posted: 04/18/2024 01:23 PM

India is among the top ten priority markets for General Mills, and hosts our Global Shared Services Centre. This is the Global Shared Services arm of General Mills Inc., which supports its operations worldwide. With over 1,300 employees in Mumbai, the center has capabilities in the areas of Supply Chain, Finance, HR, Digital and Technology, Sales Capabilities, Consumer Insights, ITQ (R&D & Quality), and Enterprise Business Services. Learning and capacity-building is a key ingredient of our success. Shift timings - RegularAbout General Mills We make foodthe world loves: 100 brands. In 100 countries. Across six continents. With iconic brands like Cheerios, Pillsbury, Betty Crocker, Nature Valley, and Häagen-Dazs, we've been serving up food the world loves for 155 years (and counting). Each of our brands has a unique story to tell.How we make our food is as important as the food we make. Our values are baked into our legacy and continue to accelerate us into the future as an innovative force for good. General Mills was founded in 1866 when Cadwallader Washburn boldly bought the largest flour mill west of the Mississippi. That pioneering spirit lives on today through our leadership team who upholds a vision of relentless innovation while being a force for good. The awards and recognition we've received showcase our commitment to be a force for good:• World's Most Admired Companies, Fortune 2022 • America's Most Responsible Companies, Newsweek 2022 • 100 Best Corporate Citizens, 3BL 2021 • Best Places to Work for LGBTQ Equality, Human Rights Campaign 2022 • 100 Best Companies, Seramount 2021 • Diversity Best Practices Leading Inclusion Index, Seramount 2021 • Best Companies for Dads, Seramount 2021 • Best Companies for Multicultural Women, Seramount 2021 • Top 10 Companies for Executive Women, Seramount 2021 • Military Friendly Employer Bronze, VIQTORY 2021 • Best Place to Work, Canada, Greater Toronto, 2021 • Top 50 - India's Best Workplaces for Women, 2021 • Top Workplaces in Brazil, 2021 • Asia's Best Workplaces, 2021Hungry for What's Next We exist to make food the world loves, and it shows. Our passion for people, doing good and creating delicious food has energized us for over 150 years. Breaking away from the pack is how we win, so we need your unique perspectives: your quirks, 'crazy' ideas, rigor and insatiable curiosity to make it happen. We want people who constantly experiment, embracing the new and bold, who keep pushing to turn ideas into reality, no matter how big or small. We've learned becoming the undisputed leader in food means continuously reshaping, reimagining and rebuilding- that only happens when you surround yourself with those who are hungry for what's next. For more details check out www.generalmills.comGeneral Mills India Centre General Mills India Center (GIC) operates out of Mumbai and supports the global operations of General Mills. The center was established in 2005 and has grown in strength. Today, we are a vibrant and diverse team of over 1500 employees that come together to champion business services for the various global entities of General Mills in the areas of Business Operations, Analytics Consulting, Logistics, Finance, IT Development & Technology Consulting, Consumer & Market Intelligence, Sales Capabilities, Research & Development.Digital and Technology team Digital and Technology is the largest team in GIC, which focuses on understanding the latest and innovative trends in technology and leading the adoption of cutting-edge technologies at General Mills. The team closely collaborates with global business teams to understand business models and assess where technology can leveraged to bring efficiency and disruption. Be it AI/ML, Data Science, IoT, NLP, Cloud, Infrastructure, RPA and Automation, Digital Transformation, Cyber Security, Blockchain or Enterprise Architecture, GIC Digital and Technology has something for every technology enthusiast who wants to work here. Our MillsWorks initiative is where we bring agile@scale delivery model to life. Here, business and technology teams work cohesively in pods as ONE team, driven by a singular mission and focused on delivering value for the Company. Our employees, who work on large technology projects of strategic importance, are the Digital Transformation change agents.Our service partnerships and employee engagement are centered on advancing equity and strengthening communities. We believe in an inclusive culture and trust in the power of people who have a passion for learning and growing with technology. We believe in "Work with Heart". Work with Heart is focused on results, not facetime. If you are passionate about the latest in technology and want to make an impact on the digital transformation journey of a Fortune 500 company, we're waiting for you. Job Overview Role: Sr ML Engr (Sr. Machine Learning Engineer) Location: Mumbai General Mills, Digital and Technology India, is seeking Sr Machine Learning Engineer to join the Enterprise Data Capabilities Organization. This team builds enterprise level scalable and sustainable data and model pipelines to serve the analytic needs of business impacting problem statements. In this role, you are a critical member of the data science team focused to operationalize the ML and AI models, entails model management and monitoring too. The success is to recommend innovative ways to automate the MLOps pipelines on GCP and set standards that would ensure repeated success.This capability is leveraged to fuel advanced Analytical solutions, Machine Learning and Deep Learning. It is also responsible for implementing and enhancing community of practice to determine the best practices, standards, and MLOps frameworks to efficiently delivery enterprise data solutions at General Mills.This role works in close collaboration with Data Scientists, Data Engineers, Platform Engineers and Tech Expertise to support the analytic consumption needs. Enhances the performance of the models and automates the production pipelines to gain efficiency. Role Responsibilities Establish and Implement MLOps practices: Development of end-to-end MLOps framework and Machine Learning Pipeline using GCP, Vertex AI and Software tools Management of data pipelines including config, ingestion and transformation from multiple data source like Big Query, Dbt & Google cloud storage etc Meta Data and statistics Data pipeline setup using GCP Bucket and MLMD Re-Training and Monitoring Pipeline setup with multiple criteria Vertex AI Serving Pipeline with multiple creation Vertex AI and GCP services Resource and Infra Monitoring configuration and pipeline development using GCP Automated pipeline Development for Continuous Integration (CI)/Continuous Deployment (CD) Continuous Monitoring (CM)/Continuous Training (CT) using GCP-native tool Branching strategies and Version Control using GitHub ML Pipeline orchestration and configuration using DAG and Workflow orchestration using airflow/cloud Code refactorization & coding best practices implementation as per industry standard Technology-Stack suggestion based on 360 Deg Implementing MLOps practices on project and follow the set MLOps Support the ML models throughout the E2E MLOps lifecycle from development to maintenance Architecture: Micro Services Architecture and framework Development concept Agile software Development concept Architecture Design for HLD, LLD and Solution design Team Mentoring: Programming language Pattern Design implementation Review projects PR and PBIs and suggestion for improvement Knowledge sharing session with team for specific ML Ops Guide/Mentor team members for MLOps framework development Research, Evolve and Publish best practices: Research and operationalize technology and processes necessary to scale ML Ops Ability to research and recommend MLOps best practices on new technologies, platforms, and MLOps pipeline improvement plan and suggestion Communication and Collaboration: Collaborate with technical teams like Data Science Lead, Data Scientist, Data Engineer and Platform Knowledge sharing with the broader analytics team and stakeholders is Communicate on the on-goings to embrace the remote and cross geography Align on the key priorities and focus Ability to communicate the accomplishments, failures, and risks in timely manner. Embrace learning mindset: Continually invest in your own knowledge and skillset through formal training, reading, and attending conferences and meetup Documentation: Document MLOps Process, Development, Architecture & Innovation etc and be instrumental in reviewing the same for other team members Must - have technical skills and experience Minimum qualification- Bachelor's degree (Full Time) Total Experience required 12-15 Years Expertise and at least 3yrs of professional experience in MLOps E2E framework Expertise in Data Transformation and Manipulation through Big-Query/SQL Professional experience Vertex AI and GCP Services Expertise in one of the programming Language Python/R Airflow/Cloud composer Experience Kubernetes/Kubeflow Experience MLflow Professional experience TFX Professional experience Docker -container Experience At least 5yrs of professional experience in the related field of Data Science Strong communication skills both verbal and written including the ability to interact effectively with colleagues of varying technical and non-technical Passionate about agile software processes, data-driven development, reliability, and systematic Good to have skills GCP certifi ca tion Understanding of CPG industry Bcsic understanding of dbt AutoML Concept Machine Learning -Concept of Algorithms Deep Learning- Concept of Algorithms Time Series Analysis- Concept of Algorithms Skill proficiency expectations Expert level Intermediate Level Basic Level • ML Ops E2E framework • Big Query/SQL • Python / R • Vertex AI and GCP Services • Docker-Container • Kubeflow/Kubernetes • TFX • Airflow • MLflow • GitHub • Strong communication skills • Machine Learning and Deep Learning algorithms • Agile techniques • Demonstrates teamworking skills. • Mentor others and lead best practices. • Micro Services concept • Power BI, Tableau, Looker • Good to have domain knowledge: Consumer Packed Goods industry and data sources • Analytic toolset- dbt, atscale, neo4j, AtlassianCOMPANY OVERVIEWWe exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best - bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what's next.Salary: . Date posted: 04/18/2024 01:22 PM