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

Apply Now

Product Data Scientist

Harnham
Birmingham
10 months ago
Applications closed

Related Jobs

View all jobs

Product Data Scientist

Product Data Scientist

Product Data Scientist (London or New York)

Product Data Scientist - On-site (London/NY) | Up to $350k

Senior Product Data Scientist

Senior Product Data Scientist

Product Data Scientist (Martech)

£70,000

Manchester, Birmingham, Leeds and Newcastle (Hybrid)

This is a great opportunity to join a growing, innovative and product-led B-Corp that are looking to scale what their doing from a Data Science and Marketing perspective.

The Company

As a growing B-Corp that is looking to disrupt the telecommunications industry, this company are making strides with their growth plans, and they are looking to scale what they can do from a Data Science perspective. The team have got investment to unlock data for digital marketing and therefore will be supporting the Head of Digital Media.

The Role

As a Product Data Scientist, you will be:

  • Designing and implementing segmentation models and propensity models to create actionable customer groups for targeted marketing strategies.
  • Build and optimise value-based bidding (VBB) models and first-party enrichments to maximise ROAS and relevant business growth metrics.
  • Develop and refine attribution models (e.g., multi-touch. data-driven attribution) to measure and improve the effectiveness of digital marketing campaigns.
  • Analyse and interpret marking data from various sources.

Skills & Experience

  • Strong foundations in Data Science skills, with impact in the digital marketing domain.
  • Proficiency in statistical modelling and machine learning techniques for attribution, segmentation, and predictive modelling.
  • Strong proficiency in SQL for creating modelling datasets.
  • Experience with experimentation methodologies, including campaign A/B testing, with a deep understanding of hypothesis testing and causal inference to inform strategic decisions.
  • Experience of applying marketing mix modelling to inform future digital marketing strategies.

Whats on Offer

  • Salary up to £70,000
  • Competitive benefits
  • Flexible and remote working options

How to Apply

Register your interest by sending your CV to Daniel Abbasi via the 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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

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.

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.