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Senior Data Scientist | Forecasting & ML Ops

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Full-stack data scientist with 4+ years building production ML systems across forecasting, uplift modelling, and GenAI. Track record of shipping models that drive commercial outcomes, from < 10% MAPE forecasting across 10,000+ SKU-location combinations to causal uplift models serving £200M+ annual revenue streams. Strong foundations in statistical inference, experimentation, and MLOps on Databricks and Snowflake.

Skills

SQL
Databricks
Machine Learning
Git
Spark
Python
Agentic Orchestration
ML Ops

Experience

Data Scientist, Danone

October 2025 - Present

  • Architected ML optimisation framework for the in-house forecasting system covering 10,000+ SKU-location combinations, with automated hyperparameter tuning and model selection achieving < 10% MAPE. Established MLOps best practices including MLflow experiment tracking and model versioning on Databricks.
  • Deployed promotion uplift prediction models using causal inference techniques, serving batch recommendations for £200M+ annual revenue streams and integrated into commercial planning workflows.
  • Built and deployed “Talk to Finance,” a conversational agent on Databricks Genie with hybrid retrieval (vector DB for policy docs alongside structured SQL tool-calling), used by Finance leadership for natural-language financial analysis and cutting ad-hoc analysis turnaround from hours to minutes.
  • Technical lead on the forecasting platform, mentoring colleagues on deployment patterns and establishing model lifecycle standards across the team.

Skills: SQL, Machine Learning, Spark, Python, Git, Databricks, Snowflake, Agentic Orchestration

Data Analyst, Danone

June 2023 - October 2025

  • Built scalable time series forecasting system using Nixtla on Databricks, achieving 10% MAPE across diverse product categories and processing 100K+ daily data points.
  • Engineered production data pipelines and rebuilt financial reporting infrastructure tracking £200M monthly sales, cutting report generation time by 40% via optimised SQL and automated Databricks workflows.
  • Developed Power BI dashboards for executive stakeholders, enabling data-driven decisions across commercial and finance teams.

Skills: SQL, Power BI, Python, Git, Databricks, Snowflake

Data Analyst, Sainsbury's

June 2022 - June 2023

  • Developed predictive models for customer segmentation and campaign targeting using Python and SQL, supporting marketing initiatives with budgets ranging from £20K to £2M and driving measurable ROI improvements.
  • Built automated reporting pipelines that increased team analytical capabilities by 20%, enabling faster insights delivery to commercial stakeholders.
  • Executed 2-3 comprehensive analysis plans per financial period, combining statistical modeling with business intelligence to identify customer loyalty drivers and commercial opportunities.

Notable Project: Productionised a segmentation of the Argos customer base according to RFM principles

Skills: SQL, Python, R, Statistical Modelling, GitHub

CRM Analyst, The Gym Group

Oct. 2021 - June 2022

  • Optimised Salesforce Marketing Cloud data architecture, enhancing analytical capabilities by 10% and enabling more sophisticated customer segmentation.
  • Designed CRM performance dashboards tracking engagement KPIs (open rate, CTR, conversion) for 200+ gym locations, supporting data-driven marketing decisions.
  • Conducted exploratory data analysis identifying upsell opportunities targeting 10K+ customers using statistical methods and behavioural pattern recognition.

Notable Project: Exploring and predicting customer conversion - A CRM oriented approach

Skills: Salesforce Marketing Cloud, Google Analytics, SQL, R

Education

MSc Consumer Analytics and Marketing Strategy, University of Leeds

Jan. 2021 - Jan. 2022

1st Class (Distinction)

Modules

  • Geographic Data Visualisation & Analysis
  • Predictive Analytics
  • Digital Interactive Marketing
  • Machine Learning in Practice
  • Big Data and Consumer Analytics
  • Applied GIS and Retail Modelling
  • Marketing Strategy

Thesis: Differences in Satisfaction with Plant-based Products- A Pan European Approach

BA, Management with Marketing, University of Leeds

Sept. 2017 - July 2020

1st Class (Hons)

Modules

  • Fundamentals of Marketing
  • Marketing Research
  • Operations and Supply Chain Management
  • Accounting for Managers
  • Consumer Behaviour

Dissertation: The Effect of Congruity on Consumer Evaluation of Plant-based Eggs

Languages

English

Norwegian

Spanish

Arabic

Certificates