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

Apply Now

The Multiplayer Group (MPG) | Associate Data Scientist

Keywords Studios
Nottingham
10 months ago
Applications closed

Related Jobs

View all jobs

Staff Machine Learning Platform/Ops Engineer Location: London

Data Engineer

Principal Data Scientist, AI Security Research

Data Science and AI Engineering Manager...

Senior Financial Data Analyst

Data Scientist

At MPG, we specialise in creating the highest standard of mind-blowing video game experiences for our partners, across Co-Dev, Full-Dev and Analytics projects. In 2023, we joined the Keywords Studios Group. We levelled up and found a new home working with some awesome people across Keywords’ many studios.

Your mission:

We are looking for an Associate Data Scientist to join our Data Science and Analytics team here at The Multiplayer Group (MPG). Your primary responsibilities will be the gathering, transforming and presenting data on a wide array of Game Industry related projects.

This is an entry level position, so experience is not required as training will be provided on the job. However, a graduate degree from a STEM course is essential. Familiarity with data science tools is advantageous (such as but not limited to: Python, Jupyter Notebook, Tableau, SQL and Linux).

We need someone who can think their way around problems rather than through them, has an aptitude for creative problem solving and is naturally curious. You should also be capable of constructing a narrative that speaks for the data and isn’t dogmatically tied to your own preconceived beliefs.

What you'll be doing:

  • Building and maintaining data platforms leveraging APIs, SQL, NoSQL etc.
  • Design analytics dashboards using tools like Tableau
  • Modelling and forecasting
  • Conducting Exploratory Data Analysis (EDA)
  • Organising tasks and projects
  • Communicating key insights in an intuitive way
  • Reading research papers to understand business questions

Requirements

What we'd love to see from you:

  • Graduate degree from a STEM course (Statistics, Mathematics, etc.)
  • Familiarity with data science tools is advantageous
  • An interest in the gaming industry
  • You're naturally curious and have an aptitude of creatively solving problems

Benefits

We're big on work-life balance. We’re proud to say we’re a people-first company and everything we do is with this in mind. We know our teams perform better when they are healthy, motivated and focused, and that’s only possible with meaningful work and a good work-life balance.

  • Flexibility outside of our core working hours to work around your home life
  • Minimum 25 days paid annual leave
  • A yearly Entertainment Budget so you can spend time having fun and getting to know the team
  • Generous Parental Leave to support your journey as a parent or caregiver and giving you flexibility to balance your professional and personal responsibilities
  • A yearly Learning and Development budget & Udemy for Business, for you to enhance your professional development, along with monthly tech talks from an expert member of the team
  • Support & wellbeing: we have a team of dedicated mental health first aiders and provide a wide range of resources and guidance to ensure you have the support to maintain a positive work-life balance
  • Getting together: Our companywide events, activities and celebrations help to foster our thriving culture, bringing everyone together both online and in person
  • Working on some mind-blowing AAA multiplayer experiences for our partners, through Co-Dev and Full-Dev projects
  • Invest time in your local communities and causes that matter to you with 3 paid volunteering days a year

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.