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

Apply Now

Senior Data Scientist

£2.5 million seed funded Startup utilising Machine Learning
London
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist - Earth Observation - Energy Aspects

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist Senior Data Scientist

£2.5 million seed funded Startup utilising Machine Learning

Data Scientist opportunity with a seed funded startup (£2.5 million), utilising machine learning technology to create up to 15% profit margin gains for clients in the entertainment industry.

You will join a small team of 2 in Data and a wider company of 14 employees. They are the type of business who enjoy discussing scientific research projects over lunch They plan on securing series A funding late this year.

They code in Python, and React on the Frontend. Tech & Data Science stack:

  • Kubernetes & Docker on Google Cloud
  • Python 3: Pandas, RabbitMQ, Celery, Flask, SciPy, NumPy, Dash, Plotly, Matplotlib
  • Javascript, React, Redux
  • PostgreSQL, Redis
  • Prometheus, Alert Manager, DataDog

If you joined the company in a Data Science role you would be working on sophisticated pricing algorithms which would enable companies in the entertainment industry to significantly increase profit margins.

You’ll use a raft of different techniques from timeseries analysis to bayesian statistics, reinforcement learning & Monte Carlo Simulations.

Your Experience:

  • You’ll likely come from a strong quantitative degree background in Science or Maths and have worked 2-4 years as a Data Scientist
  • You’ll have incredibly strong modelling skills but know when to be pragmatic to ensure the best business outcomes
  • You’ll be a coder in Python, C++ or Java
  • Experience of productionizing analytics code
  • pandas, scipy and numpy

If your a Data Scientist looking to go on an exciting new journey with an early stage startup, and the opportunity to work on advanced pricing algorithms is something that interests you, then this opportunity is for you.

#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.