Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Data Scientist

Harnham
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 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.