Senior Data Scientist

King
Looe
1 week ago
Create job alert
Craft:

Data, Analytics & Strategy


Job Description:

We have a new opportunity for a skilled and knowledgeable Senior Data Scientist to join the Central Analytics team, where you will work to drive and grow King's Business. You will be part of a community of 100+ Analytics and Data Science experts and work closely with various teams across the company to develop your own skills and capabilities.


We're looking for a standout colleague, who gets excited about answering difficult business problems using Data Science tools and methodologies. This is the perfect role for someone who wants to push the boundaries of player analytics and apply their technical skills with a growth mindset.


Your Role Within Our Kingdom

As a key player in our team, you will be in charge to build the player models that help to understand our games’ engagement and monetization. With this knowledge, you will be able also to simulate the impact of new business opportunities. In addition, you will have access to detailed player metrics that allow you to generate new insights on our players behaviours.


Your responsibilities will include:

  • Applying statistical analysis and predictive modelling to uncover actionable insights related to player engagement, and monetization.
  • Supporting the central analytics team by developing models and analytic data products to understand our player behaviours and King business
  • Collaborating with a cross-functional team, including other analytics teams, Finance teams and Strategy team to support King's growth strategy.
  • Working with engineering, development, and data-warehouse teams to ensure our data is specified, consistent, and comprehensible.


  • Carefully check, debug, and problem solve issues to ensure you deliver accurate and clear analysis, reports and tools, even when confronted by subtle data complications

Skills to Create Thrills

  • Education Background: Bachelor’s or equivalent experience or Master’s degree in Data Science, Statistics, Computer Science, or a related field.
  • Domain Knowledge: Strong experience in a data science role, preferably with a focus on modelling, experimentation and data analysis.
  • Business Insight: Ability to identify the real problem and issues our games and business aim to solve, and then define the right data, analysis, or interpretation to lead to the correct recommendations and decisions.
  • Communication: Ability to design effective communication, visualisation, or reporting methods for your results/analysis to ensure they are clear and unambiguous.
  • SQL: Capability to write complex SQL queries to analyse our databases with 300+ million players and work with cloud-based relational database systems.
  • Analytical coding: Proficiency in Python, or R, for analytical purposes and model building.
  • Statistics: A solid understanding of appropriate statistical and/or machine learning techniques.

Tasty Bonus Points

  • Skills with our reporting tool Looker
  • Deep understanding of Bigquery SQL
  • Experience in using workflow orchestration systems (e.g., Apache Airflow) to automate data workflow for machine learning models.
  • Good knowledge, genuine passion, and interest in gaming, tech or media industry.
  • Strong discernment with strategic and analytical capabilities, backed by experience using data to drive strategy and business decisions.

About King

With a mission of Making the World Playful, King is a leading interactive entertainment company with more than 20 years of history of delivering some of the world’s most iconic games in the mobile gaming industry, including the world-famous Candy Crush franchise, as well as other mobile game hits such as Farm Heroes Saga. King games are played by more than 200 million monthly active users. King, part of Microsoft (NASDAQ: MSFT), has Kingsters in Stockholm, Malmö, London, Barcelona, Berlin, Dublin, San Francisco, New York, Los Angeles and Malta. More information can be found at King.com or by following us on LinkedIn, @lifeatking on Instagram, or @king_games on X.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

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.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.