Senior Data Scientist

Harnham
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Engineer

Data Science Consultant

Senior RF Data Scientist / Research Engineer

Direct message the job poster from Harnham

I’m working with a mission-driven healthcare technology company that leverages real-world data to improve health outcomes and equity. They focus on understanding the complex social and behavioral factors that influence healthcare decisions, going beyond traditional clinical data. The company has evolved from a nonprofit origin into a fast-growing, globally distributed tech organization.

They generate revenue through consulting with pharmaceutical clients and by offering innovative data products aimed at transforming healthcare strategies.

The Role

As a Senior Data Scientist, you will be a key technical leader on their core data products. Your primary focus will be building and deploying predictive machine learning models using large-scale, complex datasets — including consumer data, survey data, and extensive geospatial information.

You will take ownership not only of modeling and metric development but also of the end-to-end ML lifecycle, including deployment and monitoring using modern MLOps frameworks. Collaboration with data engineers and cross-functional teams is essential, as you’ll help shape the ML strategy and drive innovation in how healthcare behaviors are understood and acted upon.

What You’ll Bring

  • PhD in a quantitative or scientific field, with proven commercial experience as a Data Scientist or ML Engineer
  • Exposure to behavioral or consumer data is essential, preferably in the Healthcare space
  • Strong Python skills and experience with Databricks or similar platforms
  • Proven track record in predictive modelling with messy, real-world datasets (survey, geospatial, or similar)
  • Hands-on experience with MLOps tools and practices (e.g., MLFlow) and deploying models in cloud environments (GCP, AWS, or Azure)
  • Proactive, creative problem solver with a startup mindset and strong communication skills
  • Comfortable taking technical ownership and leading ML projects from end to end

If you are interested, please share your CV with

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • Job functionAnalyst, Engineering, and Consulting
  • IndustriesPublic Health and Retail Pharmacies

Referrals increase your chances of interviewing at Harnham by 2x

Sign in to set job alerts for “Data Scientist” roles.

London, England, United Kingdom £65,000.00-£75,000.00 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 7 months ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

Multiple Data Engineers/Scientists/ML Engineers needed - LONDON

London, England, United Kingdom 1 week ago

London, England, United Kingdom 1 month ago

London Area, United Kingdom £75,000.00-£90,000.00 21 hours ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 month ago

AI Research Scientist (Sequential Decision Making)

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 4 months ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 6 days ago

City Of London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 2 days ago

Freelance Software Developer (Python Engineer) - AI Trainer

London, England, United Kingdom 6 days ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 3 months ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.