535 Advanced Analytics Jobs - Page 18

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Assoc Mgr Qualifications: Any Graduation Years of Experience: 10 to 14 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Reporting, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Analyst Qualifications: Any Graduation Years of Experience: 3 to 5 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a key member of the Sales Reporting team, you will lead a cross-functional team of Data Analytics, Visualization, and Data Modeling experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in project delivery, stakeholder management, and team leadership. The candidate will adeptly balance hands-on reporting and analytics tasks, and team management. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Delivery - Data Analysis & Interpretation Designation: I&F Decision Sci Practitioner Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do Accenture is a global professional services company with leading capabilities in digital, cloud and security. Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Song, Technology, Industry X and Operations services all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 800,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities. Visit us at www.accenture.com.In todays business environment, growth isnt just about building value - it s fundamental to long-term business survival. So how do organizations sustain themselvesThe key is a new operating modelone that s anchored around the customer and propelled by intelligence to deliver outstanding experiences across the enterprise at speed and at scale. You will deliver breakthrough business outcomes for clientsby harnessing talent, data and intelligence to redefine their operating models. Within Operations, our Sales Operations Data Analytics, Reporting & Insights team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As a senior and a key member of the Sales Operations - Data Analytics, Reporting & Visualization team, you will work in a cross-functional team of Data Analytics, Visualization, and Data Analytics experts working within the Sales Operations space. The ideal candidate brings a strong background in business intelligence, reporting, visualization and advanced analytics in sales domain. The candidate will have a proven track record in sales reporting, dashboards, insights project delivery, stakeholder communication, and guiding less experienced team members where necessary. What are we looking for Strong command over Power Query, Power Pivot, Power BI (or similar visualization platforms) and BI architecture for visual storytelling and dashboarding. Deep understanding of Python (Pandas, NumPy, etc) for automation, and data modeling. Hands-on experience with SQL, data management, data flows, and data modeling practices. Hands-on experience with Power Automate flows, Power Apps, Dataverse (or similar automation platforms). Proficiency in Microsoft Excel for data analysis and reporting. Strong background in Sales Operations, CRM data, and Sales Reporting. Proven experience in leading teams that deliver interactive dashboards, reporting automation and advanced data flows and modeling. Excellent stakeholder management and communication skills; working with global, cross-functional teams. Working knowledge of Machine Learning (ML), Natural Language Processing (NLP), and advanced technologies such as Artificial Intelligence (AI). Consulting & Communication Skills Roles and Responsibilities: Ensure high-quality delivery of reports, dashboards and data models. Ensure data quality, governance, and secure access across platforms Author, review and validate dashboards, visual designs, and model outcomes. Encourage adoption of best practices in code management, versioning, and documentation. Manage, and mentor a high-performing team of SQL, Python, Power Platform, Power BI (or similar platforms) developers, and Data Analytics practitioners. Proactively lead work allocation, delivery timelines, data quality, review metrics and KPIs. Manage multiple projects and tasks while maintaining high attention to detail Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Collaborate with senior business leaders, stakeholders and global teams to define problem statements, solutions, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Strong communication of data analytics, and visualizations through effective storytelling. Ensure proactive communication of status, updates, asks, achievements, and challenges. Qualification Any Graduation

Skill required: Sales Insights & Intelligence - Sales Enablement Designation: Analytics and Modeling Manager Qualifications: Any Graduation Years of Experience: 9+ years About Accenture Accenture is a global professional services company with leading capabilities in digital, cloud and security.Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. We embrace the power of change to create value and shared success for our clients, people, shareholders, partners and communities.Visit us at www.accenture.com What would you do As the Team Lead, and a key member of the Sales Operations Transformation - Data Analytics, Reporting & Visualization team, you will head a cross-functional team of Data Scientists and Visualization experts working within the Sales Operations transformation space. The ideal candidate brings a strong background in advanced analytics, business intelligence, and sales domain knowledge, along with a proven track record in project delivery, stakeholder management, and team leadership.Key responsibilities include:Drive and oversee the design, development, and deployment of data science models and visualization solutions that support sales strategy, performance tracking, and revenue optimization.Drive collaboration across functional, technical, and global teams to ensure solutions are aligned with business needs and deliver measurable outcomes.Manage project timelines, resource planning, and risk mitigation across multiple workstreams while maintaining high standards of quality and delivery.Serve as a subject matter expert in Sales Operations analytics, providing thought leadership, mentorship, and guidance to both technical and non-technical stakeholders..This is a high-impact role where technical acumen meets business strategy, and your work will directly influence sales operations transformation through AI-powered innovation. What are we looking for We are looking for individuals who bring a blend of strategic thinking, operational expertise, and a passion for transformation. The ideal candidate will have the following skillset:Strong background in Sales Operations, CRM data, and sales process optimization.Proven experience in data analytics, data science, and business intelligence.Proven experience in leading teams that deliver both advanced statistical models and interactive dashboards.Deep understanding of Python (Pandas, NumPy, Scikit-learn) for data modeling and analytics.Strong command over Power Query, Power Pivot, Power BI and BI architecture for visual storytelling and dashboarding.Hands-on experience with SQL, data management, and data modeling practices.Excellent stakeholder management and communication skills.Experience working with global, cross-functional teams.Proficiency in Microsoft Excel for data analysis and reporting.Experience in driving transformation initiatives through automation and advanced technologies such as Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Roles and Responsibilities: Strategic Leadership & DeliveryoLead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams.oAlign team objectives with Sales Excellence and Sales Transformation strategyoDrive solution design, data strategy, and execution across data science and BI tracks.oOversee solution scalability, reusability, and integration into business processes.Team ManagementoManage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers.oProvide technical and functional guidance to team members.oConduct regular performance reviews, skill development sessions, and team health checks.oOversee capacity planning and work allocation.Stakeholder EngagementoCollaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics.oServe as the client-facing SME for all analytics and visualization needs in the sales domain.oEnsure strong communication of findings, models, and visualizations through effective storytelling.Technical OversightoEnsure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards.oReview and validate model outcomes, dashboards, and visual designs.oEncourage adoption of best practices in code management, versioning, and model documentation.oEnsure data quality, governance, and secure access across platforms Qualification Any Graduation

Requirements : Expertise in SQL Server 2019 and BI toolsets (Power BI, AWS Quicksight). Experience with AWS Glue DataBrew and ETL processes. Strong understanding of data modeling and visualization best practices. Familiarity with cloud-based BI solutions and analytics tools. Strong analytical and problem-solving skills Experience : 10 years Below is the skill set required: The Business Intelligence Specialist will design and implement BI solutions, focusing on creating dashboards, data visualizations, and actionable insights. This role involves working closely with stakeholders to define requirements, optimize data models, and enhance decision-making through advanced analytics. This position requires a good understanding of SQL Server 2019, Power BI, and AWS-based BI development, including Quicksight and Glue DataBrew. Experience with Google BigQuery is a plus. Requirements : Expertise in SQL Server 2019 and BI toolsets (Power BI, AWS Quicksight). Experience with AWS Glue DataBrew and ETL processes. Strong understanding of data modeling and visualization best practices. Familiarity with cloud-based BI solutions and analytics tools. Strong analytical and problem-solving skills

Were looking for a Senior Data Scientist to join our AI & Machine Learning team Youll work on developing advanced analytics solutions for commodity trading ",requirements:["Masters/PhD in Computer Science, Statistics, or related field","Strong experience with machine learning algorithms and statistical modeling"," Expertise in Python, R, and data visualization tools","Experience in commodity trading analytics is a plus

Overview Provide advanced analytics support for the EU Sector in the Insights Services Center; a part of the broader Global Capability Center function in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by developing custom descriptive analytics approaches for EU to drive deeper understanding of business performance drivers both at the National / Regional / State /City level. Primary responsibilities include developing/enhancing statistical models to address key business questions associated with Growth Driver Modeling, Pricing, Assortment, Market Structure, Innovation Forecasting, and Category Growth Forecasts, Portfolio growth model, Ambition related assignments for the key markets of EU. Additionally, this role will also support the consumer insight team by collating learnings from a variety of sources, to help inform the development of future insights strategies for various brands with in Bevareages / Snacks . The role will have short-term responsibilities for knowledge transfer from the Vendors and effectively establishing business process and communication methods with teams they support; both are crucial requirements to enabling the organization to deliver answers to on-going business questions Responsibilities Support delivery of descriptive and predictive analytics as defined by the SLA (Service Level Agreement) within the EU Business Service Service Center Support relationships with the key end-user stakeholders in EU and region offices Qualifications 4 to 7 years of experience in the field of analytics Ability to convert insights into story that answers critical business questions. Hands on in coding in tools like R and Python ( both or at least

Job Title - PROS Pricing Solution Suite + assistant Manager + Global Song Management Level :8,Assistant Manager Location:Coimbatore Must have skills: PROS Smart Price Optimization & Management (POM) & Smart Configure Price Quote (CPQ) Good to have skills: MS Excel, Macro, and PowerPoint and exposure to Visualization Tools such as Power BI and Tableau Job Summary :7-10 years of progressive industry and/or consulting experience in the Products/ Communications & High Tech/ Financial Services industry/ Resources 3 - 5 years experience working with PROS Smart Price Optimization & Management (POM) & Smart Configure Price Quote (CPQ) Functional experience in Pricing of Services, products, parts, and post sales services Proficiency in MS Excel, Macro, and PowerPoint and exposure to Visualization Tools such as Power BI and Tableau Knowledge of other Pricing & CPQ tools like PriceFx, CONGA, SFDC CPQ, Zilliant, PROS, Vendavo, SAP/Oracle Pricing, Callidus are a plus. Nice to have certification in any one of the following or equivalent from other pricing/CPQ solutions - PROS Smart Price Optimization and Management PROS Smart Configure Price Quote Pricing Analytics using advanced analytics such as AI, ML, etc. Proven ability to work creatively and analytically in a problem-solving environment Experience in global implementation, rollout, and UAT support Expertise in Pricing Analytics, advanced analytics, and visualization tools Structured approach to Problem solving. Excellent communication (written and oral) and interpersonal skills Roles & Responsibilities: The candidate will be responsible for providing functional and implementation support for Pricing and CPQ Tools Provide functional and implementation support for Pricing and CPQ Tools solutions like PROS, PriceFx, CONGA, SFDC CPQ, Zilliant, Vendavo, SAP/Oracle Pricing, Callidus Build robust pricing models using advanced analytics and artificial intelligence to track key pricing KPIs, and build leadership dashboards in visualization tools. Work on assessing pricing processes in alignment with business imperatives and client's sales strategy through client data diagnostics and gap analysis including current state assessment and future state design, Vendor assessment and selection (PROS) Work on designing and implementing pricing waterfall, pricing strategy, competitive pricing, pricing elasticity, margin analysis, pricing diagnostics, pricing catalog, and contract pricing of services, leading to a positive impact on topline and bottom line for global B2B organizations Work on B2B Pricing Analytics (Exploratory Analysis & Reporting), target state analytics recommendation Work on recommending and deploying process improvements and enablers with best-in-class KPIs Work as an integral part of the client's sales organization, towards driving efficient and effective structure pricing and discounting approach. Professional & Technical Skills: Additional Information: Qualifications Experience: Minimum 7-10 year(s) of experience is required Educational Qualification: Any graduation / BE / B Tech

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Vendor Invoice Management Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements. You will collaborate with teams to ensure successful project delivery and implementation. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior professionals- Conduct regular knowledge sharing sessions- Stay updated on industry trends and best practices Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Vendor Invoice Management- Good To Have Skills: Experience with AAAP (Accenture Advanced Analytics Platform)- Strong understanding of SAP Vendor Invoice Management processes- Experience in SAP Vendor Invoice Management implementation projects- Knowledge of SAP Vendor Invoice Management integration with other SAP modules Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Vendor Invoice Management- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

We are looking for a dynamic and visionary Chief Technology Officer (CTO) to lead our technology function from the ground up. This is a core leadership role where you’ll architect our end-to-end platform, and shape the future of infrastructure-tech.

The purpose of this role is to own the campaign management across Dentsu clients within the Addressable team. Job Description: Key Responsibilities: Understands clients brands, structure, and industry as well as project goals Develop, implement, and manage programmatic advertising campaigns across various platforms (DSPs, SSPs, Ad Exchanges) Monitor and optimize campaign performance to meet client goals and KPIs Serve as the main point of contact for clients, providing regular updates, performance reports, and strategic recommendations. Build and maintain strong relationships with clients, understanding their business objectives and aligning campaign strategies accordingly. Address client inquiries and troubleshoot issues promptly and effectively. Create and execute programmatic media strategies to drive brand awareness, engagement, and conversions. Conduct A/B testing and experiment with new tactics to improve campaign outcomes. Use advanced analytics tools to measure and analyze campaign effectiveness. Monitors investment of digital spend and ensures revenue/margin goals are met Communicate campaign progress, challenges, and opportunities to internal teams and clients. Work closely with clients and able to guide internal teams to align campaign strategies and objectives. Build strong relationships across stakeholders (externally with clients and with teams internally Training and development of team members (Junior programmatic manager) Regular contribution to the media community i.e blogs, case studies , conferences Location: DGS India - Chennai - Anna Nagar Tyche Towers Brand: Paragon Time Type: Full time Contract Type: Permanent

The purpose of this role is to own the campaign management across Dentsu clients within the Addressable team. Job Description: Key Responsibilities: Understands clients brands, structure, and industry as well as project goals Develop, implement, and manage programmatic advertising campaigns across various platforms (DSPs, SSPs, Ad Exchanges) Monitor and optimize campaign performance to meet client goals and KPIs Serve as the main point of contact for clients, providing regular updates, performance reports, and strategic recommendations. Build and maintain strong relationships with clients, understanding their business objectives and aligning campaign strategies accordingly. Address client inquiries and troubleshoot issues promptly and effectively. Create and execute programmatic media strategies to drive brand awareness, engagement, and conversions. Conduct A/B testing and experiment with new tactics to improve campaign outcomes. Use advanced analytics tools to measure and analyze campaign effectiveness. Monitors investment of digital spend and ensures revenue/margin goals are met Communicate campaign progress, challenges, and opportunities to internal teams and clients. Work closely with clients and able to guide internal teams to align campaign strategies and objectives. Build strong relationships across stakeholders (externally with clients and with teams internally Training and development of team members (Junior programmatic manager) Regular contribution to the media community i.e blogs, case studies , conferences Location: DGS India - Chennai - Anna Nagar Tyche Towers Brand: Paragon Time Type: Full time Contract Type: Permanent

We are M&G Global Services Private Limited (formerly known as 10FA India Private Limited, and prior to that Prudential Global Services Private Limited) . We are a fully owned subsidiary of the M&G plc group of companies, operating as a Global Capability Centre providing a range of value adding services to the Group since 2003. At M&G our purpose is to give everyone real confidence to put their money to work. As an international savings and investments business with roots stretching back more than 170 years, we offer a range of financial products and services through Asset Management, Life and Wealth. All three operating segments work together to deliver attractive financial outcomes for our clients, and superior shareholder returns. To ensure that all securities lending transactions are fully collateralised To ensure that limits set by risk are not breached Liaison with other teams within Investment Operations, the Front Office, brokers and Custodians, around failing repo trades and collateral shortfalls Responsible for all aspects of collateral control. Ensure satisfactory collateral reporting from tri-party agent banks Ensure accurate pricing of collateral Responsible for the settlement of cash trades Ensure receipt and disbursements of cash resulting from repo trades and reinvestment of funds Monitor all cash activity with HSBC, Money market funds and Euroclear Ensure accurate recording of all cash trade To ensure that all securities lending cash transactions are settled and accounted for We have a diverse workforce and an inclusive culture at M&G Global Services, regardless of gender, ethnicity, age, sexual orientation, nationality, disability or long term condition, we are looking to attract, promote and retain exceptional people. We also welcome those who take part in military service and those returning from career breaks.

Tech Permanent Job Description Be part of something bigger. Decode the future. At Electrolux, as a leading global appliance company, we strive every day to shape living for the better for our consumers, our people and our planet. We share ideas and collaborate so that together, we can develop solutions that deliver enjoyable and sustainable living. Come join us as you are. We believe diverse perspectives make us stronger and more innovative. In our global community of people from 100+ countries, we listen to each other, actively contribute, and grow together. All about the role: We are looking for a Engineer to help driving our global MarTech strategy forward, with a particular focus on data engineering and data science to design and scale our customer data infrastructure. You will work closely with cross-functional teams - from engineering and product to data and CX teams - ensuring scalable, future-ready solutions that enhance both consumer and business outcomes. Great innovation happens when complexity is tamed, and possibilities are unleashed. That s what we firmly believe! Join our team at Electrolux, where we lead Digital Transformation efforts. We specialize in developing centralized solutions to enhance inter-system communications, integrate third-party platforms, and establish ourselves as the Master Data within Electrolux. Our focus is on delivering high-performance and scalable solutions that consistently achieve top-quality results on a global scale. Currently operating in Europe and North America, we are expanding our footprint to all regions worldwide. About the CDI Experience Organization: The Consumer Direct Interaction Experience Organization is a Digital Product Organization responsible for delivering tech solutions to our end-users and consumers across both pre-purchase and post-purchase journeys. We are organized in 15+ digital product areas, providing solutions ranging from Contact Center, E-commerce, Marketing, and Identity to AI. You will play a key role in ensuring the right sizing, right skillset, and core competency across these product areas. What you ll do: Design and implement scalable, secure data architectures that support advanced marketing use cases across platforms such as BlueConic (CDP), SAP CDC (Identity & Consent), Iterable (Marketing Automation), Qualtrics (Experience Management), and Dynamic Yield (Personalization). Define and govern data pipelines for collecting, processing, and enriching first party and behavioural data from digital and offline touchpoints. Partner with Data Science teams to productionize machine learning models for audience segmentation, propensity scoring, content recommendations, and predictive analytics. Collaborate with Data Engineering and Cloud teams to build out event-driven and batch data flows using technologies such as Azure Data Factory, Databricks, Delta Lake, Azure Synapse, and Kafka. Lead the integration of MarTech data with enterprise data warehouses and data lakes, ensuring consistency, accessibility, and compliance. Translate business needs into scalable data models and transformation logic that empower marketing, analytics, and CX stakeholders. Establish data governance and quality frameworks, including metadata management, lineage tracking, and privacy compliance (GDPR, CCPA). Serve as a subject matter expert in both MarTech data architecture and advanced analytics capabilities. Who are you: Design and implement scalable, secure data architectures that support advanced marketing use cases across platforms such as BlueConic (CDP), SAP CDC (Identity & Consent), Iterable (Marketing Automation), Qualtrics (Experience Management), and Dynamic Yield (Personalization). Define and govern data pipelines for collecting, processing, and enriching first-party and behavioral data from digital and offline touchpoints. Design and implement scalable, secure data architectures that support advanced marketing use cases across platforms such as BlueConic (CDP), SAP CDC (Identity & Consent), Iterable (Marketing Automation), Qualtrics (Experience Management), and Dynamic Yield (Personalization). Define and govern data pipelines for collecting, processing, and enriching first-party and behavioral data from digital and offline touchpoints. Partner with Data Science teams to productionize machine learning models for audience segmentation, propensity scoring, content recommendations, and predictive analytics. Collaborate with Data Engineering and Cloud teams to build out event-driven and batch data flows using technologies such as Azure Data Factory, Databricks, Delta Lake, Azure Synapse, and Kafka. Lead the integration of MarTech data with enterprise data warehouses and data lakes, ensuring consistency, accessibility, and compliance. Translate business needs into scalable data models and transformation logic that empower marketing, analytics, and CX stakeholders. Establish data governance and quality frameworks, including metadata management, lineage tracking, and privacy compliance (GDPR, CCPA). Serve as a subject matter expert in both MarTech data architecture and advanced analytics capabilities. Where youll be This is a full-time position, based in Bangalore, India. Benefits highlights Flexible work hours/hybrid work environment Discounts on our award-winning Electrolux products and services Family-friendly benefits Extensive learning opportunities and flexible career path.

India Payments org comprises of three product portfolios (a) Core Payments Portfolios & Affordability solutions like IBD, NCEMI & Rewards (b) First-party Payment Instruments a.k.a. Amazon Pay Products (APP) (5 of them), and (3) Everyday Use Cases (EUC) (32 of them). These businesses are significantly different from each other, involve large data exchanges and analysis. Hence the need for AI/ML products for insights and customer targeting and deepening customer engagement is fast growing. Amazon Pay India is looking for a product manager with a strong Data Science / Tech background to guide the vision and mission of the Advanced analytics team at Amazon Pay, guiding a team of highly motivated Data Scientists and analysts The leader would work closely with software developers, category, business and operations teams to get the products developed. a)own and develop further the portfolio of data science products (such as Outlier Analysis Tools, Economic profit estimation tools, Next Best Action prediction, Advanced targeting, Spend optimization, and existing data pipes to other Amazon ML teams to guide their prediction). c)Build and interpret causal models d)Own the Propensity Data Platform (PDP) built using deep neural networks, that powers automated widgets and is used for business insights. The platform also generates customer segments for marketing, impacting an estimated 10M customers on a weekly basis and improving their customer engagement. e) Write BRDs and other Amazon standard review docs to communicate vision and progress to management. About the team The Pay data team consists of 3 verticals: a) Platform team who maintain the Single Source of truth for all pay data. b) Business partnering team who work with Business stakeholders to serve their reporting and other analysis needs c) Advanced analytics team who build AI / ML products that deal with targeting, optimisation, anomaly detection, help determine causality. These model outputs can also be consumed by business leaders for gaining deeper insight. The role being publicised is for this Advanced analytics leader. - Bachelors degree - Experience in representing and advocating for a variety of critical customers and stakeholders during executive-level prioritization and planning - Experience contributing to engineering discussions around technology decisions and strategy related to a product - 7+ years of technical product or program management experience - Experience owning/driving roadmap strategy and definition - Experience with feature delivery and tradeoffs of a product - Experience in using analytical tools, such as Tableau, Qlikview, QuickSight - Masters degree - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Knowledge of Statistics

You will spend time in ensuring the products have best technical design and architecture; you would be supported by peers and team members in creating best-in-class technical solutions. Identify technical challenges proactively and provide effective solutions to overcome them, ensuring the successful implementation of features and functionality. Quickly respond to business needs and client facing teams demand for features, enhancements and bug fixes. Work with senior Ripik.AI tech and AI leaders in shaping and scaling the software products and Ripiks proprietary platform for hosting manufacturing focussed AI and ML software products Required Skills & Experience You should have 3+ years of experience, with deep expertise in Java, Golang & Python. Must have: Expert in coding for business logic, server scripts and application programming interfaces (APIs) Excellent in writing optimal SQL queries for backend databases; CRUD operations for databases from applications. Exposure to relational databases : MYSQL, Postgres DB, non-relational: MongoDB, Graph based databases, HBASE, Cloud native big data stores; willing to learn and ramp up on multiple database technologies . Must have at least 1 public cloud platform experience (GCP/Azure/AWS; GCP preferred). Good to have: Basic knowledge of Advanced Analytics / Machine learning / Artificial intelligence (has to collaborate with ML engineers to build backend of AI-enabled apps)

Job Title: Senior Machine Learning Engineer Location: Pune, India Department: Enterprise Data & Analytics Advanced Analytics Team Employment Type: Full-time About the Role: We are looking for a Senior Machine Learning Engineer to join our Advanced Analytics IT Product Team. The team is responsible for developing cutting-edge data and analytics products that empower business functions to make smarter, data-driven decisions. This role is ideal for an experienced and proactive ML engineer who enjoys solving complex problems, building scalable solutions, and working with cross-functional teams in a dynamic global environment. Responsibilities: Design, build, test, deploy, and maintain machine learning and AI solutions across business domains. Collaborate with data scientists, engineers, and product teams to deliver reliable, production-grade ML pipelines. Develop data models, algorithms, and integrate them into enterprise-grade applications. Ensure solutions are secure, compliant, and follow industry best practices. Continuously improve ML products based on real-world performance metrics and feedback. Participate in code reviews, solution design, and incident resolution. Document technical designs and contribute to internal knowledge sharing. Lead ML engineering practices, mentor junior team members, and support agile development activities such as sprint planning and retrospectives. Qualifications: Education & Experience: Master's degree in Computer Science, Machine Learning, Statistics, Physics, Mathematics, or a related field. 4–6 years of hands-on experience in machine learning, data science, or data engineering. Technical Skills: Strong experience with AWS services: S3, DynamoDB, CloudFormation, CDK, Route53, AppFlow. AWS certifications are a plus. Hands-on experience with Databricks : PySpark, MLFlow, Unity Catalog, orchestration workflows. Databricks certifications preferred. Proficient in Python , SQL , and DBT . Familiar with tools like GitHub/GitLab , Airflow , and Terraform . Solid understanding of enterprise data (structured, unstructured, transactional, metadata) and integrations with systems like SAP ERP, Salesforce, and product data platforms. Strong foundation in CI/CD, testing practices, and production-grade software development. Experience with infrastructure-as-code, version control, and deployment automation. Knowledge of data privacy, cybersecurity, and regulatory compliance. Serve as the technical expert for ML engineering within the team. Drive architecture and design improvements for scalability and efficiency. Lead quality assurance activities, conduct code reviews, and ensure adherence to development standards. Guide and mentor junior engineers and contribute to capability building. Take on additional responsibilities such as Scrum Master or task force lead when needed. Agile working methodology with tools such as Jira, Confluence, and draw.io. Global, multi-cultural team focused on transparency, collaboration, and continuous learning. Encouraged to be self-organized, courageous, and solutions-oriented.

Job Title: Data Scientist Reports to: Lead – Data Science About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Job Title: Data Scientist About upl: UPL is focused on emerging as a premier global provider of total crop solutions designed to secure the world’s long-term food supply. Winning farmers hearts across the globe, while leading the way with innovative products and services that make agriculture sustainable , UPL is the fastest growing company in the industry. UPL has a rich history of 50+ years with presence in 120+ countries . Based on the recognition that humankind is one community, UPL’s overarching commitment is to improve areas of its presence, workplace, and customer engagement . Our purpose is ‘ OpenAg’. An Open agriculture network that feeds sustainable growth for all. No limits, no borders . In order to create sustainable food chain, UPL is now working to build a future-ready, analytics-driven organization that will be even more efficient, more innovative, and more agile. We are setting up “Digital and Analytics” CoE to work on some disruptive projects that will have an impact that matters for the planet. It will help us reimagine our business to ensure the best outcomes for growers, consumers, employees, and our planet. Work with us to get exposure to cutting-edge solutions in digital & advanced analytics, mentorship from senior leaders & domain experts, and access to a great work environment . JOb Responsibilities: The Data Scientists will leverage expertise in advanced statistical and modelling techniques to design, prototype, and build the next-generation analytics engines and services. They will work closely with the analytics teams and business teams to derive actionable insights, helping the organization in achieving its’ strategic goals. Their work will involve high levels of interaction with the integrated analytics team, including data engineers, translators, and more senior data scientists. Has expertise in implementing complex statistical analyses for data processing, exploration, model building and implementation Lead teams of 2-3 associate data scientists in the use case building and delivery process Can communicate complex technical concepts to both technical and non-technical audience Plays a key role in driving ideation around the modelling process and developing models. Can conceptualize and drive re-iteration and fine tuning of models Contribute to knowledge building and sharing by researching best practices, documenting solutions, and continuously iterating on new ways to solve problems. Mentors junior team members to do the same REQUIRED EDUCATION AND EXPERIENCE: Master’s degree in Computer Science, Statistics, Math, Operations Research, Economics, or a related field Advanced level programming skills in at least 1 coding language (R/Python/Scala) Practical experience of developing advanced statistical and machine learning models At least 2 years of relevant analytics experience Experience in using large database systems preferred Has developed niche expertise in at least one functional domain REQUIRED SKILLS: Ability to work well in agile environments in diverse teams with multiple stakeholders Experience of leading small teams Able to problem solve complex problems and break them down into simpler parts Ability to effectively communicate complex analytical and technical content High energy and passionate individual who can work closely with other team members Strong entrepreneurial drive to test new out of the box techniques Able to prioritize workstreams and adopt an agile approach Willing to adopt an iterative approach; experimental mindset to drive innovation LOCATION: Bangalore What’s in it for you ? Disruptive projects : Work on ‘ breakthrough’ digital-and-analytics projects to enable UPL’s vision of building a future ready organization. It involves deploy ing solutions to help us increase our sales, sustain our profitability, improve our speed to market, supercharge our R&D efforts, and support the way we work internally. Help us ensure we have access to the best business insights that our data analysis can offer us. Cross functional leadership exposure : Work directly under guidance of functional leadership at UPL, on the most critical business problems for the organization (and the industry) today. It will give you exposure to a large cross-functional team (e.g.: spanning manufacturing, procurement, commercial, quality, IT/OT experts), allowing multi-functional learning in D&A deployment Environment fostering professional and personal development : Strengthen professional learning in a highly impact-oriented and meritocratic environment that is focused on delivering disproportionate business value through innovative solutions. It will be supported by on-the-job coaching from experienced domain experts, and continuous feedback from a highly motivated and capable set of peers. Comprehensive training programs for continuous development through UPL's D&A academy will help in accelerating growth opportunities. Come join us in this transformational journey! Let’s collectively Change the game with Digital & Analytics!

Virtual Recruitment Drive Senior Business Analyst (2 - 4 Years Experience) Immediate Joiners Preferred Preferred Candidates:- (Kindly go through the JD well ) Project Experience : 24 years of experience in strategy consulting or advanced analytics projects , with a strong business problem-solving mindset. Core Tools : Proficient in Advanced Excel , dashboarding (Power BI/Tableau), and PowerPoint for delivering client-ready insights and visualizations. Analytical Skills : Ability to work with complex data, identify trends, and translate findings into clear, actionable business recommendations. Technical Skills (Good to Have) : Exposure to SQL and Python for data manipulation and advanced analytics. Domain Exposure (Preferred) : Experience in Retail , FMCG , or CPG sectors is an added advantage. Communication & Collaboration : Strong communication skills with the ability to work cross-functionally and present to senior stakeholders.

Execute and support R&D activities leveraging metadata from multiple databases, ETL/ELT products, reporting tools etc. Develop, test, and deploy Python and SQL-based solutions to automate and optimize operational processes. Data Analysis & Reporting Required Candidate profile Provide hands-on programming support for AI-driven initiatives. Mastery in Python Programming Advanced SQL Proficiency analytical methodologies, statistical concepts, and data visualization techniques

Role AI Architect Client Trianz D&AI Practice Employment Type Employee Work location India ? Hyderabad or Bangalore Work mode Trianz Office - Hybrid Trianz Grade 6 / 10 ? 15 years / Solutions Architect About Trianz Standard Job Summary The Advanced Analytics and AI Offering Lead is responsible for the definition, development, and go-to-market strategy of cutting-edge analytics and AI solutions for our D&AI practice. You will be an industry expert and develop market-leading, disruptive AI solutions that provide real value and transformation to our customers. You will develop and maintain key partnerships with relevant vendors and technologies that ensure best-in-class solution offerings. You will collaborate with other cross-functional teams to ensure their offerings meet the high demands of your solutions. Job Responsibilities Offering Definition & Delivery: Own the D&AI Practice Language Model & Gen AI + Composite AI & ML Ops offerings, ensuring that they are fully defined and meet industry best standards. Meet Practice revenue objectives. Innovation & Demonstration: Proactively identify disruptive, value-driven use cases and apply them throughout the customer?s journey with Trianz. Lead our AI & Innovation team?s activities to develop PoVs and PoCs that demonstrate value and drive revenue. Solution Design & Delivery: Design and deliver industry-best, responsible AI solutions. Organization-wide collaboration to ensure AI is at the forefront of thinking. Enablement and mentorship of AI-related project delivery. Salesforce Enablement: Ensure that our salesforce competently partners with clients to help advance their AI analytic strategy. Vision & Strategy: Ensure the D&AI Practice?s AI vision, strategy and point-of-view aligns with industry-leading AI best practice technologies, patterns and philosophies. Client Engagement: Regular collaboration and partnership with clients to understand their challenges and needs and respond with responsible AI solutions that transform and drive value. Lead and support proposal development. Leadership: Serve as company-wide AI and Advanced Analytics expert and advise on AI-related initiatives as needed. Manage and mentor Practice AI resources, ensuring quality delivery. Creativity: Be an out-of-the-box thinker and passionate about applying your skills to new and existing solutions alike while always demonstrating a customer-first mentality. Mandatory Qualifications At least 10+ years of experience in advanced analytics, AI, or data science roles, with a proven track record of leading and delivering large-scale AI/ML solutions. 5+ years of leadership experience, managing cross-functional teams, mentoring data scientists, and overseeing project delivery. 5+ years of Experience with driving strategy and executing data-driven solutions within large organizations. Strong understanding and hands-on experience with AI/ML algorithms, deep learning, MLOps and data analytic technology and techniques. Proficiency in programming languages like Python, R, or Scala, and experience with ML frameworks such as TensorFlow, PyTorch, Keras. Competency in delivering AI-solutions to cloud platforms like AWS, Azure, or GCP using native and 3rd party services and technologies. Knowledge of Big Data technologies (e.g., Hadoop, Spark, Kafka) and data processing tools. Familiarity with various industry domains such as retail, healthcare, financial services, manufacturing, or other sectors where AI and analytics solutions are prevalent. Demonstrated AI marketplace knowledge and applicability. Collaboration and management experience with technology partners (e.g., AWS, Azure, Google Cloud) to develop joint solutions. Practical understanding and experience related to data governance, privacy laws (e.g., GDPR, CCPA), and ethical AI practices. Experience ensuring regulatory compliance and implementing governance frameworks in AI & analytic solutions. Demonstrated, adept communication skills, matching with needs from C-level and technical stakeholders alike. Excellent people and self-management skills demonstrating ability to multitask goals and activities. Additional / Nice-to-have Qualifications Cloud platform (AWS preferred) and relevant AI-related certifications. Required Education Master?s/Bachelor?s degree (or higher) in a relevant field such as Data Science, Computer Science, Artificial Intelligence, Mathematics, Statistics, or a related discipline. Why Join Us? please share and review with Ben K before publishing Travel Requirement (%) Periodic / infrequent travel as required for In-person client meetings Company culture / focus events Training and/or alliance needs Initial Screening Questions Initial Rejection Screening Questions Does candidate does meet mandatory AI and ML experience requirements? If no, reject Does candidate communicate clearly in English? If no, reject Prioritization Questions (Candidates with highest points should receive highest ranking in progressing)

Lead technology solution design and delivery Create and maintain optimal data solutions architecture and AI models Works with business partners to document complex company-wide acceptance test plans. Work concurrently on several projects, each with specific instructions that may differ from Assemble large, complex data sets that meet functional / non-functional business requirements. Identify, design, and implement internal process improvementsautomating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud 'big data' technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with business-critical data insights, technical issues and support their data infrastructure needs. Keep our data separated and secure across national boundaries through multiple data centers and cloud regions. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems. Build processes supporting data transformation, data structures, metadata, dependency and workload management. Troubleshoot production support issues post release deployment and come up with solutions Explain, Socialize and Vet designs internal and external stakeholders Undergraduate degree or equivalent experience. Undergraduate Degree in Engineering or equivalent Over 7 years of experience in Data Engineering and Advanced Analytics Strong experience in build Generative AI based solutions for data management (data pipelines, data standardization, data quality) and data analytics. Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience building and optimizing 'big data' data pipelines, architectures and data sets. Experience in Cloud technologies and SNOWFLAKE Experience in Kafka development Experience in Python/Java programing Experience in creating business data models Experience in Report development and dashboarding Strong Experience in driving Customer Experience Experience in working with agile teams Experience in Healthcare Clinical Domains Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Strong analytic skills related to working with unstructured datasets. A successful history of manipulating, processing and extracting value from large, disconnected datasets. Working knowledge of message queuing, stream processing, and highly scalable 'big data' data stores. Strong project management and organizational skills. Experience supporting and working with cross-functional teams in a dynamic environment. Careers with Optum. Here's the idea. We built an entire organization around one giant objective; make the health system work better for everyone. So when it comes to how we use the world's large accumulation of health-related information, or guide health and lifestyle choices or manage pharmacy benefits for millions, our first goal is to leap beyond the status quo and uncover new ways to serve. Optum, part of the UnitedHealth Group family of businesses, brings together some of the greatest minds and most advanced ideas on where health care has to go in order to reach its fullest potential. For you, that means working on high performance teams against sophisticated challenges that matter. Optum, incredible ideas in one incredible company and a singular opportunity to do your life's best work.SM Diversity creates a healthier atmosphereUnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law. UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Key Responsibilities Develop and implement a comprehensive analytics strategy aligned with organizational objectives. Lead cross-functional projects using advanced data modeling and analysis techniques to uncover strategic insights and process optimization opportunities. Design, build, and maintain data models, dashboards, reporting systems, and performance metrics to support key business decisions. Drive critical business processes such as demand forecasting and the Sales & Operations Planning (S&OP) process. Generate actionable sales recommendations for the trade sales team. Optimize business processes like supply chain networks and inventory management through predictive and prescriptive data modeling. Oversee the delivery of analytical reports and performance insights across functions. Manage and streamline processes related to data intake, validation, mining, engineering, visualization, and reporting. Anticipate and plan for future analytical needs related to people, technology, budgeting, and business objectives. Apply advanced analytics techniques to enhance commercial routines and decision-making. Lead data insight initiatives and ensure effective stakeholder collaboration. Clearly communicate the impact of analytics-driven insights across internal and external teams. Perform critical analysis and deliver actionable business recommendations. Educational Qualifications B.E./B.Tech/M.Tech in Computer Science, Statistics, Data Management, or Business Intelligence OR MBA/PGDM in Data Science, Business Analytics, Business Intelligence, Sales, or Marketing Work Experience Minimum 4+ years of experience in data analytics, including monitoring, managing, manipulating, and drawing insights from complex datasets. Proven track record working with data visualization tools such as Power BI, Tableau, Raw, or chart.js. Preferred/Additional Requirements Strong understanding of data mining principles, predictive analytics, and integrating data from multiple sources (on-premises and cloud-based). Experience with analytical and statistical techniques including hypothesis development, A/B testing, data analysis, and drawing conclusions. Ability to generate actionable insights and recommendations for business units. Team Structure Will work closely with multiple vendor teams . Key Interfaces Internal: Supply Chain, Sales, and Finance Teams External: Analytics vendors Functional Competencies Strong problem-solving and quantitative analysis skills Ability to manage multiple projects, processes, and cross-functional teams simultaneously Excellent collaboration, communication, and stakeholder management skills Behavioral Competencies Critical Thinking: Ability to evaluate complex issues, make informed decisions, and deliver innovative solutions Professionalism: Demonstrates integrity, accountability, strong work ethic, and ethical behavior

JOB SUMMARY This Data Scientist creates and implements advanced analytics models and solutions to yield predictive and prescriptive insights from large volumes of structured and unstructured data. This position works with a team responsible for the research and implementation of predictive requirements by leveraging industry standard machine learning and data visualization tools to draw insights that empower confident decisions and product creation. This position leverages emerging tools and technologies available in On-prem and Cloud environments. This position utilizes industry standard machine learning and data visualization tools to transform data and analytics requirements into predictive solutions and provide data literacy on a range of machine learning systems at UPS. This position identifies opportunities for driving descriptive to predictive and prescriptive solutions, which become inputs to department and project teams on their decisions supporting projects. RESPONSIBILITIES Defines key data sources from UPS and external sources to deliver models. Develops and implements pipelines that facilitates data cleansing, data transformations, data enrichments from multiple sources (internal and external) that serve as inputs for data and analytics systems. For larger teams, works with data engineering teams to validate and test data and model pipelines identified during proof of concepts. Develops data design based on the exploratory analysis of large amounts of data to discover trends and patterns that meet stated business needs. Defines model key performance indicator (KPI) expectations and validation, testing, and re-training of existing models to meet business objectives. Reviews and creates repeatable solutions through written project documentation, process flowcharts, logs, and commented clean code to produce datasets that can be used in analytics and/or predictive modeling. Synthesizes insights and documents findings through clear and concise presentations and reports to stakeholders. Presents operationalized analytic findings and provides recommendations. Incorporates best practices on the use of statistical modeling, machine learning algorithms, distributed computing, cloud-based AI technologies, and run time performance tuning with the goal of deployment and market introduction. Leverages emerging tools and technologies together with the use of open-source or vendor products in the creation and delivery of insights that support predictive and prescriptive solutions. QUALIFICATIONS Expertise in R, SQL, Python and/or any other high-level languages. Exploratory data analysis (EDA), data engineering and development of advanced analytics models. Experience in development of AI and ML using platforms like VertexAI, Databricks or Sagemaker, and familiarity with available frameworks like PyTorch, Tensorflow and Keras. Experience applying models from small to medium scaled problems. Strong analytical skills and attention to detail. Able to engage key business and executive-level stakeholders to translate business problems to a high-level analytics solution approach. Expertise with statistical techniques, machine learning, and/or operations research and their application in business. Deep understanding of data management pipelines and experience in launching moderate scale advanced analytics projects in production. Demonstrated experience in Cloud-AI technologies and knowledge of environments both in Linux/Unix and Windows. Experience implementing open-source technologies and cloud services; with or without the use of enterprise data science platforms. Core AI Machine Learning knowledge and application in supervised and unsupervised learning domains. Familiarity with Java or C++ is a plus. Solid oral and written communication skills, especially around analytical concepts and methods. Ability to communicate data through a story framework to convey data-driven results to technical and non-technical audiences. Masters Degree in a quantitative field of mathematics, computer science, physics, economics, engineering, statistics (operations research, quantitative social science, etc.), international equivalent, or equivalent job experience.