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Senior Data Scientist - Hybrid

Job in London, Greater London, W1B, England, UK
Listing for: Endicott Group
Full Time, Part Time position
Listed on 2026-06-20
Job specializations:
  • IT/Tech
    Data Scientist, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 60000 - 80000 GBP Yearly GBP 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Who We Are

Datassential is a leading global intelligence platform for the food and beverage industry. Leveraging billions of data points and cutting‑edge AI, we provide a suite of innovative solutions that empower more than 90% of the world's largest food and beverage brands to develop, market, and sell their products more effectively.

Based in Chicago, USA, Datassential has expanded its global reach through strategic acquisitions of CHD Expert (France) in 2022 and Brizo Data, Inc. (Canada) in 2025. In 2024, we secured investment from top‑tier private equity firms New Mountain Capital and Endicott Capital—a milestone that fuels our accelerated product roadmap and strengthens our research and development, enabling us to deliver even greater value to our clients.

This role is hybrid and based in London, with regular on‑site presence required 2‑3 days per week. Candidates must be located within commuting distance of our London office.

Why You Should Join Us

Our data science team works with one of the most distinctive datasets in the food and beverage industry: deep, longitudinal operator data spanning years of menu, concept, and market behaviour across global markets. The EMEA region is a growth priority for Datassential, and this role sits at the centre of how we build and deliver intelligence for that market.

You will have the rare combination of genuine domain depth to draw on, a wealth of historical data to work with, and a direct line to how your outputs reach customers through our sales intelligence platform. We are passionate about data, committed to doing the work well, and have a "we can do anything" attitude. We value work‑life balance, and you will be joining a team and company that wants you to grow.

What

We Need

We are seeking a full‑time Data Scientist to join our EMEA team, focused on building the derivative data elements and modelled insights that power our global sales intelligence platform. You will work across a variety of existing data sources— as well as newly acquired data—applying statistical analysis and machine learning to extract signals that our customers cannot get anywhere else.

This is not a research‑only role. You will own your models from initial design through to operationalisation, working with our data pipeline team to ensure outputs are integrated reliably into production. You will also collaborate with and provide mentorship to other data scientists on the global team, helping to raise the overall quality and consistency of modelling practices across the company.

Who

You Are
  • A rigorous data scientist who is equally comfortable developing models and seeing them through to production‑grade outputs
  • Energised by the challenge of building on rich longitudinal data to surface insights that genuinely change how businesses think about food and food service
  • Fluent in modern ML and AI techniques—and honest about when a simpler statistical approach is the right one
  • Curious about the food service industry and motivated by the idea that your models will directly inform strategic decisions for some of the world's largest food and beverage brands
  • Comfortable working across the full modelling lifecycle: from hypothesis and feature engineering through validation, iteration, and handoff into production pipelines
  • A collaborative partner who can communicate model logic, assumptions, and limitations clearly to non‑technical stakeholders
  • Willing to mentor and share knowledge—you make the people around you better
  • Automation and reproducibility are always front of mind
What You Will Do
  • Design, develop, and validate statistical models and machine learning solutions that generate derivative data elements and insights for the EMEA sales intelligence platform
  • Work across diverse data sources—including operator, menu, concept, and market data—to identify signals, build features, and produce modelled outputs that enrich our core datasets
  • Own the full modelling lifecycle: problem framing, data exploration, feature engineering, model selection, validation, iteration, and operationalisation
  • Collaborate with the data pipeline team to integrate model outputs into production Alteryx workflows, ensuring reliable,…
Position Requirements
10+ Years work experience
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