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

Apply Now

Principal Data Scientist

Primis
London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist, AI Security Research

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist

Principal Data Scientist (Management Level)

Location: London (Hybrid) | Practice Area: Data & Analytics | Type: Permanent


The Role

We are seeking a Principal Data Scientist to join our growing UK Data & Analytics team.

You will take a leading role in designing and implementing advanced data science solutions across a range of industries, including financial services. This position offers the opportunity to build intelligent systems that drive measurable business and customer outcomes — while mentoring others and collaborating in a dynamic, multi-disciplinary environment.

What You’ll Do

  • Lead the end-to-end delivery of data science initiatives, from proofs of concept and MVPs to production-scale deployments
  • Design, develop, and prototype machine learning models to solve complex business problems using modern techniques and technologies
  • Work closely with engineers, domain experts, and business stakeholders to translate analytical requirements into impactful solutions
  • Guide and mentor data science teams, supporting technical development and solution design
  • Act as a subject matter expert on ML architecture, model calibration, and productionisation

What We’re Looking For

  • 10+ years of hands-on experience in data science or applied machine learning
  • Proven track record of building and deploying data science solutions using Python and associated ML libraries
  • Strong background in applied machine learning, model development, and data engineering
  • Experience working with cloud platforms (Azure, AWS, or GCP) and big data tools such as Spark, Hive, or Redshift
  • Demonstrated leadership in managing cross-functional teams and mentoring junior data scientists
  • Excellent communication skills, with the ability to simplify complex technical concepts for non-technical audiences

Bonus Points For

  • Participation in data science competitions (e.g., Kaggle)
  • Experience implementing MLOps practices, including CI/CD, model monitoring, and DevOps integration
  • Familiarity with NLP frameworks such as spaCy or Transformers
  • MSc or PhD in a numerate discipline
  • Industry experience in financial services, energy, or technology

Why Join

  • Deliver high-impact data and technology solutions for leading organisations
  • Collaborate in a flat, open, and entrepreneurial consulting culture
  • Access continuous learning, professional certifications, and tailored training programs
  • Contribute to projects shaping the future of digital transformation across industries

Our Benefits

We offer a comprehensive, people-first benefits package designed to support every aspect of your wellbeing:

Core Benefits: Competitive salary and bonus, pension scheme, health insurance, life insurance, and critical illness cover.

Wellbeing: Access to a range of mental health and wellbeing support services.

Family-Friendly: Enhanced maternity, adoption, and shared parental leave, alongside paid leave for sickness, pregnancy loss, fertility treatment, menopause, and bereavement.

Family Care: Complimentary backup care sessions for emergency childcare or eldercare.

Holiday Flexibility: Five weeks of annual leave, with options to buy or sell additional days.

Continuous Learning: Minimum 40 hours of annual training through workshops, certifications, and e-learning, plus a personal business coach from day one.

Healthcare Access: Online GP and virtual health consultations.

Extra Perks: Gym membership discounts, travel insurance, dining discounts, season ticket loans, Cycle to Work, and dental insurance.


Research indicates that men will apply to a role when they meet only 50–60% of the requirements, while women and other underrepresented groups often look for a 90–100% match. If this role excites you but you don’t check every box, we still encourage you to apply.

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.