{"id":1593824,"url":"https://alion.io/job/accenture-data-scientist-manager-","title":"Data Scientist ( Manager )","company":{"id":271,"name":"Accenture","domain":"accenture.com","url":"https://alion.io/company/accenture","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":1996,"ghost_share":0.002,"stale_share":0.076,"repost_share":0.006,"time_to_fill_p50_days":4,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom","Manchester, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":101000,"max_usd":189000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":20},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Git","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Anomaly Detection","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"Snowflake","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-10-01T16:54:26Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-04T02:05:35Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"UKI Finance RP\nFinance Data Scientist\nThe practice\nFinance is one of the most demanding and valuable environments in which to apply modern technology. You will work with complex enterprise data, mission-critical processes and high-impact decisions, using AI, data and engineering to reshape how organisations plan, control performance and allocate resources. The opportunity goes beyond building technically strong solutions: you will see how those solutions influence cash, profitability, risk and business growth, and take them from experimentation into trusted, production-ready capabilities. Working in Finance Reinvention allows you to remain close to leading-edge technology while developing an understanding of the CFO agenda, gaining exposure to senior decision-makers and building the commercial judgement needed to solve enterprise-wide challenges. This combination of deep technical capability, finance-domain expertise and measurable business impact creates a differentiated career path that is difficult to develop in a purely technology-focused role.\nPurpose of the role\nAdvances the Decision Intelligence capability from driver-based planning and package configuration towards ML-driven forecasting. Owns the forecasting models from problem framing and data preparation through model validation, production integration, monitoring and adoption. The role works alongside the Planning & Performance Management practice and extends the range of propositions the practice is able to take to market, combining statistical rigour with finance-process understanding and decision-ready explanation.\nResponsibilities\nBuild forecasting models on client financial and operational data, covering revenue, cost, cash, demand signals and underlying drivers, using appropriate classical, econometric, machine-learning or deep-learning approaches rather than a single preferred method.\nPrepare and validate multi-source data, engineer internal and external drivers, address seasonality and structural change, and model hierarchical relationships across products, entities, geographies or cost centres.\nDesign rigorous back-testing and time-series cross-validation, compare against transparent benchmarks, and evaluate accuracy, bias, stability, calibration and business impact; reconcile forecasts across hierarchies where required.\nRun scenario and sensitivity analysis to a standard that supports CFO-level interrogation, including stress cases, uncertainty ranges, forecast interventions and causal or counterfactual analysis where appropriate.\nProduce variance explanation and commentary capable of withstanding challenge from an FP&A team, including plan-versus-actual decomposition, driver attribution, explainability, confidence and limitations.\nIntegrate models into the client planning cycle and EPM platform to support operational adoption, working with Data and ML Engineers on pipelines, APIs, model registry, versioning, deployment, monitoring, drift detection, retraining and controlled override workflows.\nWork with AI Engineers where forecasting intersects agentic workflow, including proactive variance alerting, hypothesis ranking and draft narrative generation, while retaining appropriate finance review and approval.\nDocument methods, data, assumptions, model limitations and validation evidence, and measure whether the solution improves decision quality, planning efficiency or forecast performance in use.\nEssential experience\nDepth in time series and forecasting methods, spanning classical and modern approaches, with the judgement to select appropriately, including seasonality, external regressors, rolling horizons and model trade-offs.\nPython and the associated analytical stack, with experience of production or near-production deployment, together with SQL, Git, testing and reproducible analytical or ML pipelines.\nStrong understanding of forecast evaluation, including time-series cross-validation, back-testing, benchmark selection, error and bias metrics, uncertainty and stability over time.\nExperience working with large, multi-source datasets and implementing input, output and consistency checks that address data-quality risk in forecasting pipelines.\nAbility to explain model behaviour to a finance audience and defend underlying assumptions, uncertainty, limitations and the practical implications for decisions.\nAbility to work with FP&A, operational and technical stakeholders to align models with planning calendars, business assumptions, adoption workflows and measurable outcomes.\nAt least 6 years’ relevant professional experience\nDesirable\nFP&A or financial planning domain knowledge, including driver-based planning, rolling forecasts, management reporting or variance analysis.\nCausal inference or uncertainty quantification, Bayesian or probabilistic forecasting, hierarchical reconciliation, optimisation or simulation.\nMLOps or cloud data-science experience using platforms such as Databricks, Snowflake, Azure ML, SageMaker or Vertex AI.\nExperience with Anaplan, OneStream, Pigment, Oracle EPM or SAP Analytics Cloud, including integration of external models or analytical services.\nExperience with anomaly detection, automated narrative generation or agentic workflows for forecast monitoring and intervention.\nN/A\nAbout Accenture\nAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.Visit us atwww.accenture.com\nEqual Employment Opportunity Statement\nWe believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.","description_format":"text","description_chars":6999,"description_truncated":false,"requirements":{"experience_years_min":6,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","Systems Integrators","Business Process Outsourcing (BPO)","Management Consulting"],"lifecycle":[{"event":"open","at":"2026-10-01T16:54:26Z"}],"visa":[{"country":"GB","licensed_sponsor":true,"evidence":"Licensed UK visa sponsor (Senior or Specialist Worker, Skilled Worker)","filings_12m":null,"filings_prev_12m":null,"green_card_filings_12m":null,"median_offered_wage_usd":null,"route":"Global Business Mobility: Senior or Specialist Worker; Skilled Worker","cap_exempt":false,"checked_at":"2026-10-03T21:09:13+00:00","sources":["UK Home Office: register of licensed sponsors (workers)"],"filings_for_role_12m":0}],"liveness":{"score":76,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.84,"p_room":0.9,"age_days":1,"expected_fill_days":4,"reasons":["conf:10","velocity","win:mid","comp:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/accenture-data-scientist-manager-","json_url":"https://alion.io/job/accenture-data-scientist-manager-.json","meta":{"generated_at":"2026-10-04T02:53:30Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4394,"day_limit":5000,"remaining_today":606,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}