Product Data Scientist

Harnham
1 year ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist - Growth & Experimentation - £130K

Product Data Scientist

Product Data Scientist: Shape Product Strategy with Data

Senior Data Scientist- Pensions

Data Scientist - Optimisation

Data Scientist - Optimisation

Product Data Scientist Salary: Up to £65,000 + 10%bonus, Car Allowance Location: Mostly remote, with flexibility togo in the office once every month The Role: As a Product DataScientist, you'll focus on Product Analytics within the wider DataScience team. You’ll apply your expertise in designing, analysing,and interpreting experiments to drive product development andenhance user experiences. You’ll work directly and day-to-day withProduct teams to develop hypotheses based on in-depth analysis, setup effective tests, and guide the implementation of findings tomaximise their impact on our business strategies, focusing onmember retention, acquisition, and overall satisfaction.Requirements: ● Strong experience in product analytics andexperimentation, utilising data to drive product enhancements andinnovations. ● Proficient in designing and managing A/B tests andother experimental designs, with a deep understanding of hypothesistesting and causal inference to inform business decisions. ●Experience employing fundamental data science skills and tools,including Python, SQL , regression, survival analysis,segmentation, and applying machine learning techniques to solvecomplex problems ● Proven ability to build and manage end-to-enddata pipelines, working closely with Data Engineering and otherstakeholders to develop instrumentation and define dimensionalmodels that support business processes. ● Capability to createactionable KPIs and production-quality dashboards, along withconducting deep dives into data that lead to strategic insights andscalable data products Please note: This role does not offersponsorship. Apply below by sending your CV to Nilay Mukherjee viathe apply link on this page!

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.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.