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

Apply Now

Data Scientist - Sunderland Hybrid · Sunderland, UK ·

Tombola
Sunderland
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Ready to jump-start your career at the UK's biggest bingo site? Do you speak fluent Python and statistics? Then you might just be the perfect fit for the Tombola family! Wefre not just any online gaming site; we the UK's biggest, and we pride ourselves on a culture of creativity and collaboration.

We're on the hunt for a talented and enthusiastic Data Scientist to join our fantastic Datateam in Sunderland. This isn't just a job; its a chance to make a massive impact on millions of players!

What you'll be getting up to (a glimpse into your new role!)

You'll be a key part of shaping the future of our data science and ML efforts across the business. A typical day might look like this:

  • Building end-to-end data science and machine learning projects to enhance decision-making.
  • Developing and evaluating statistical and machine learning models (regression, clustering, NLP, etc.).
  • Deploying models into production using MLOps best practices and monitoring their performance and reliability.
  • Working with key stakeholders to understand business problems and how data can provide solutions.
  • Collaborating with BI teams,Marketing, Commercial, Customer Experience, Safer Gambling to ensure the value of complex data science projects is clearly and effectively conveyed.
What we\'re looking for in you (your superpowers!)

We\'re looking for someone who is a creative problem-solver and has a strong analytical mindset.

The Must-Haves:

  • 2+ years’ experience delivering data-driven solutions in a Data Science role.
  • Strong proficiency in programming languages such as Python (or R) and SQL.
  • Good understanding of a range of machine learning models and techniques.
  • Experience with common data manipulation and ML packages (scikit-learn, numpy, pandas, etc.).
  • Experience working with big data, statistical analysis, and data mining.
  • Experience with cloud technologies such as AWS, Azure, or GCP.

The Nice-to-Haves (bonus points if you have these!):

  • Experience managing and building relationships with internal stakeholders.
  • Experience working with large language models (LLMs) and related tools, frameworks, and deployment architectures
  • Some experience deploying ML models with cloud technology.
Why this role is a game-changer for you

You’ll be making a huge impact on our products, player experience, and internal processes. This is a brilliant opportunity to take on new challenges in a compliant and ethical environment, working alongside a team that values innovation, creativity, and a genuinely great work-life balance.

Ready to take the next step at Tombola? If you\'re passionate about gaming and ready to make a real impact on millions of players, we'd love to hear from you!

Apply now and let\'s make some magic together!


#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.

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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.