Senior / Product Data Scientist · London, UK

Matthew Akotey

Machine Learning & Optimisation · Decision-Support Systems · Production Analytics

Current FCA — Payments & Digital Assets
Stack Python · SQL · scikit-learn · AWS · Tableau
Contact smakotey@gmail.com · +44 788 555 2118
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Profile

Product-embedded Data Scientist with a track record of building end-to-end machine learning and optimisation-driven decision-support systems — delivered in production, in regulated environments, under real operational constraints.

Strong Python and cloud-native delivery across the full analytics stack: data engineering, predictive modelling, prescriptive optimisation and user-facing dashboard products. Comfortable as a technical lead, hands-on contributor, and translator between analytical outputs and executive decisions.

£1.8m Incremental revenue from geospatial ML at Tesla
62% Uplift in test-drive completion, two vehicles
18% Core sales KPI improvement within one quarter
£270k Annual last-mile cost reduction — transport ML
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Experience
Oct 2025 — Present Current
FCA — Financial Conduct Authority London, UK

Data Scientist — Payments & Digital Assets Senior Associate

Delivering decision-support analysis within multidisciplinary, product-style teams — building repeatable analytical pipelines and modelling approaches to assess firm performance, market dynamics and operational risk in regulated financial markets.

  • Led analysis of complex firm-level financial datasets, constructing repeatable Python and SQL analytical pipelines examining revenues, costs, profitability and business models to generate decision-support insights informing competition and supervisory decisions under fixed delivery timelines.
  • Designed analytical approaches for imperfect and incomplete data environments, applying segmentation, scenario analysis and constraint-based reasoning to assess operational and financial trade-offs — enabling defensible decisions where standard methods or ideal data were unavailable.
  • Embedded analytical outputs into live regulatory decision workflows, translating complex financial analysis into clear, action-oriented recommendations for senior stakeholders across concurrent competition projects.
PythonSQLSegmentationScenario AnalysisRegulatory Analytics
Aug 2024 — Oct 2025
PSR — Payment Systems Regulator London, UK

Data Scientist — Strategy & Intelligence Senior Associate

Supported evidence-led, defensible decision making on the regulation of UK payment systems through scalable data science delivery — working with economists, policy and supervision teams on economic policy impacts and market dynamics in sensitive payment datasets.

  • Led end-to-end delivery of a high-impact operational decision-support dashboard — owning requirements discovery, Python (pandas, NumPy) and SQL data pipelines, and Tableau visualisations used by senior supervision and policy teams.
  • Established a structured, repeatable analytics delivery model for large-scale regulatory datasets, providing hands-on technical leadership and mentoring to scale team capacity across concurrent workstreams.
  • Systematised recurring analytical reporting by standardising data assets, documentation and analytical workflows — reducing turnaround time across delivery cycles and improving reproducibility of insights embedded into strategic decision-making.
PythonpandasNumPySQLTableauTechnical Leadership
Dec 2022 — May 2024
Tesla London, UK

Data Scientist II — Sales Performance, EMEA

Led data science initiatives across customer segmentation, campaign optimisation, field operations and service automation — designing and deploying ML systems that drove commercial growth, operational efficiency and product experimentation across the EMEA region.

  • Designed and deployed a geospatial ML system to optimise site selection for remote test-drive pop-up centres — training regression and tree-based models with DVC-based versioning and AWS SageMaker deployment, resulting in a 62% uplift in test-drive completion and £1.8m incremental revenue.
  • Directed forecasting models and geo-segmented performance analytics using Python, SQL and Tableau — leading and upskilling three analysts while delivering an 18% uplift in core sales KPIs within one quarter.
  • Built end-to-end production-grade data and modelling pipelines orchestrated with Airflow, implementing unit, integration and end-to-end tests to reduce model failures and manual rework during live campaign cycles.
scikit-learnSageMakerMLflowDVCAirflowGeospatial MLAgile
Nov 2020 — Dec 2022
Wincanton London, UK

Fulfilment Data Analyst — Transport

Led applied analytics and ML initiatives across transport operations in a newly formed analytical role, embedding predictive modelling into core logistics processes to improve efficiency, reliability and decision-making.

  • Built and deployed ML and time-series models — clustering, regression and sequence-based — to optimise delivery routes and predict delays from driver telematics data, improving on-time delivery by 20% and reducing last-mile costs by £270k annually.
  • Improved Wincanton's data collection and processing systems as part of an Agile delivery programme — increasing data volume by 40%, accuracy by 65%, and reducing decision-making turnaround time by 25%.
  • Developed scalable data validation and QA workflows across the pipeline, contributing to a 17% reduction in delivery incidents and 20% increase in customer satisfaction over 9 months.
PythonSQLTime SeriesClusteringRoute Optimisation
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Education
MSc Data Science & Computing
Birkbeck College, University of London
2021 – 2023 Part-time, Evenings
MEng Mechanical Engineering
Swansea University, Wales
2011 – 2015
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Skills &
Tooling
Programming & Engineering
Python · R · SQL · Java · JavaScript · Node.js · React · Next.js · Tailwind
Machine Learning
Regression · Classification · Clustering · Neural Networks (RNNs) · Feature Engineering · Model Evaluation · Scikit-learn · XGBoost
Experimentation
A/B Testing · Uplift Modelling · Marketing Mix · Customer Propensity · Demand Forecasting
Visualisation & BI
Tableau (Cloud & On-prem) · Power BI · Looker · AWS QuickSight · Seaborn
MLOps & Production
AWS SageMaker · Airflow · MLflow · DVC · Git · CI/CD · Model Monitoring
Delivery & Stakeholder
Agile · Data Storytelling · Requirements Elicitation · Cross-functional Leadership · Regulated Environments · JIRA · Confluence
AWS AWS Solutions Architect — Associate
G Google Advanced Data Analytics — Professional Certificate
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Contact
Email smakotey@gmail.com
Phone +44 (0) 788 555 2118
Location London, UK
Status Open to opportunities