{"id":3002830,"url":"https://alion.io/job/mg-senior-manager-data-scientist","title":"Senior Manager - Data Scientist","company":{"id":449916,"name":"M&G","domain":"mandg.com","url":"https://alion.io/company/m-and-g","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":95,"open_postings":16,"ghost_share":0.125,"stale_share":0,"repost_share":0.188,"time_to_fill_p50_days":18,"computed_at":"2026-10-23T05:54:15Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":20000,"max_usd":41000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":71},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Microsoft Excel","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-21T12:47:10Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-22T01:50:37Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About M&G India\nWe are M&G India, the strategic innovation and digital hub for M&G. Established in 2003, we have offices in Mumbai and Pune.\nOur teams work closely with colleagues across the Group worldwide to drive transformation, build digital capability, and support sustainable growth. By leveraging technology, AI, automation, and process excellence, we bring new ways of thinking to improve outcomes for both customers and colleagues.\nGrounded in a vibrant culture with strong foundations, we are central to how M&G is transforming as a business.\nAbout M&G\nOur purpose is to give everyone real confidence to put their money to work. With a heritage dating back more than 175 years, we have a long history of innovation in savings and investments, combining asset management and insurance expertise to offer a wide range of solutions.\nOur two distinct operating segments, Asset Management and Life, work together to provide access to balanced, long-term investment and savings solutions.\nThrough telling it like it is, owning it now, and moving it forward together with care and integrity; we are creating an exceptional place to work for exceptional talent.\nOverall Job Purpose\nIndividual would be part of the Methodology & Assumption (M&A) Actuarial Policyholder Data Team within the Actuarial Modelling & Valuation Centre of Excellence in Finance.\nA new solution for the validation and transformation of policyholder data used in actuarial modelling and assumption setting is being built.\nThis role will operate, maintain and make BAU updates to the new data pipelines which will validate, transform and enrich data for use in actuarial modelling and assumption setting. It will use its strong data analysis skills to investigate and resolve data issues found pre-emptively or those raised by stakeholders.\nThe role contributes to the continuous improvement of data processes, ensuring accuracy, consistency, and clarity in outputs while working within defined guidelines. Communication of findings is clear, structured, and tailored to support stakeholders in progressing with confidence.\nIndividual is accountable and responsible for the Model Points Data Production and Experience Analysis related tasks as assigned by the Team Manager. The person would act as necessary support to the team by carrying the tasks for the process with an acceptable standard of quality and within agreed timelines.\nPrimary Key Responsibilities\nDesign, build, and maintain scalable data pipelines that validate and transform data to meet actuarial modelling requirements.\nImplement checks and controls to ensure actuarial input data is complete, accurate, reconciled and available when required.\nWork with data suppliers to ensure data loads are complete and controlled.\nMonitor and optimise data performance, resolving issues and improving efficiency where needed.\nMaintain runbooks or support documentation\nMaintain process documentation, data dictionaries, and operational procedures\nEnsure all enhancements are appropriately documented and meet business requirements before implementation.\nAdditional Responsibilities :\nCollaborate with stakeholders to understand data needs and translate them into effective technical solutions.\nWorks independently on well-defined deliverables and escalates material risks and issues appropriately\nWork with suppliers and actuarial users to resolve data exceptions\nContribute to data governance, including documentation, standards, and controls.\nDeliver high-quality outputs with strong attention to detail, ensuring accuracy, consistency, and compliance with agreed standards\nWork independently within established frameworks, managing own and team’s workload management.\nKey Stakeholder Management\nInternal\nM&G India Team manager\nUK Team manager\nOther senior stakeholders\nRisk Team\nExternal\nDiligenta\nPwC\nWTW\nKnowledge, Skills, Experience & Educational Qualification\nKnowledge & Skills (Must Have) :\nStrong understanding of data structures, databases, and data modelling concepts.\nExperience working on data pipelines with data transformation, validation and storage processes.\nAbility to manage and process large datasets with attention to accuracy and quality.\nFamiliarity with data governance and best practices in data management.\nStrong problem-solving skills and the ability to work collaboratively across teams.\nExperience working in Financial Services or a similar heavily audited environment with an understanding of operating controls and producing audit evidence\nClear communication with both technical and non-technical stakeholders.\nProactive approach to identifying and resolving issues.\nCommitment to continuous improvement and delivering high-quality outcomes.\nSQL\nData management and modelling\nExperience maintaining documentation, controls, and governance evidence to support auditability and operational resilience\nExperience using Excel, Power BI, and/or Python to analyse data, automate checks, and produce reports or dashboards.\nAdvanced Excel skills, including formulas, pivot tables, lookups, data validation, Power Query, and reconciliation techniques\nKnowledge & Skills (Additional) :\n- Azure Databricks\n- Spark\n- Spark SQL\n- Python/PySpark\nExperience:\n4-10 years of relevant Data Engineering experience (depending on role level)\nFinancial services experience, or a closely related field\nEducational Qualification:\nBachelor’s Degree / Master’s Degree\nAny Data Engineering Certifications would be an advantage.\nM&G Behaviours relevant to all roles:\nTell it like it is: Respectfully speaking up to create better ways forward both direct and empathetic\nOwn it now: Putting your name on things with confidence to drive progress and results quickly\nMove it Forward Together: Forming cross-functional teams to seize the right opportunities and solve real problems.\nWe 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. 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