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

Apply Now

Senior Data Scientist in London

Energy Jobline ZR
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist London, United Kingdom

Senior Data Scientist — Infrastructure AI & Analytics (Hybrid)

Senior Data Scientist

Senior Product Data Scientist: Biometrics & ML Innovator

Senior Earth Observation Data Scientist for Oil & Gas

Senior Data Scientist – Insurance Analytics & Advisory

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.


We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.


Job Description


Senior Data Scientist – £75–80k + Benefits


London | Hybrid (2–3 days office)


We’re looking for a Senior Data Scientist to step into a hands‑on leadership role within a fast‑growing consultancy environment. You’ll combine advanced technical depth with team leadership, mentoring junior scientists, and shaping client solutions at scale.


The Role

  • Lead and mentor a small team of junior Data Scientists & Analysts.
  • Deliver advanced machine learning and predictive analytics projects end‑to‑end.
  • Engage with clients to define problems and build data‑driven strategies.
  • Ensure best practices in reproducibility, coding standards, and scalable pipelines.
  • Translate complex insights into actionable outcomes for non‑technical stakeholders.

What We’re Looking For

  • 5+ years’ industry experience in Data Science, ideally with consulting exposure.
  • Strong academic background (MSc/PhD in Data Science, Computer Science, Statistics, or similar).
  • Experience managing or mentoring junior talent.
  • Excellent skills in Python, SQL, cloud (AWS/GCP/Azure), and ML frameworks.
  • A confident communicator able to influence across technical and executive teams.

Benefits & Perks

You’ll enjoy a comprehensive benefits package designed to support you both inside and outside of work:



  • Private medical, health, and life insurance (with option to extend to family).
  • Travel insurance covering business and personal trips.
  • Hybrid working & flexibility around client commitments.
  • Recognition & reward schemes – performance‑based, not box‑ticking.
  • Regular socials, team‑building days, and volunteering opportunities.
  • Professional development support – structured learning, mentoring, and cross‑discipline growth.
  • A supportive, people‑first culture that prioritises wellbeing and work–life balance.

Salary: £75,000–£80,000 (DOE)


Location: London (hybrid, 2–3 days office)


Ready to take the lead on impactful data science projects? Apply today and let’s connect.


#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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.