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Data Science Manager

Job in London, Greater London, W1B, England, UK
Listing for: Entain
Full Time position
Listed on 2026-09-03
Job specializations:
  • IT/Tech
    Data Science Manager, Data Analyst
Job Description & How to Apply Below

We have an exciting opportunity for a talented organiser of people & projects to join our rapidly expanding Sports Analytics company based in London Bridge.

As Data Science Manager you are responsible for managing the Leads of multiple sport-specific modelling teams. You ensure consistency alignment and delivery across the portfolio of models while supporting the career development of Lead Data Scientists.

You will work closely with the Head of Data Science on planning staffing and setting the direction for the function. You will be instrumental in scaling the data science capability and ensuring technical quality delivery efficiency and team cohesion across the department.

Key responsibilities

  • Resource planning of the Data Scientists to optimise departmental objectives and tasks in ongoing projects.
  • Manage coach and develop Data Science Leads across multiple teams.
  • Support Leads in planning prioritisation and delivery of high-quality forecasting models.
  • Help set and maintain a high bar in technical standards code practices and documentation across teams.
  • Identify and address capacity capability or performance challenges across the department.
  • Collaborate with Delivery and Engineering counterparts to maintain efficient team operations.
  • Work with the Head of Data Science to shape department-wide strategy tooling and hiring plans.
  • Facilitate cross-team learning innovation and the sharing of best practices.
  • Act as an escalation point for technical or resourcing issues across teams.
  • Represent the Data Science function in cross-departmental discussions or leadership meetings.
  • Help maintain a collaborative supportive and high-performance culture across the modelling organisation.

Qualifications :

Essential

  • Demonstrated success managing Data Science Leads and growing high-performing teams.
  • Skilled in aligning delivery across multiple projects sports or technical domains.
  • Strong technical background in model development and deployment with the ability to support and challenge teams when needed.
  • Advanced programming experience (R/Python/C#/Java)
  • Excellent communication and leadership skills across technical and non-technical stakeholders.
  • Proven ability to manage hiring performance and team development.
  • Familiar with cross-functional planning prioritisation and capacity management.
  • Champions a culture of collaboration experimentation and delivery.
  • Domain expertise in sports modelling or betting products.
  • 2 years managing teams and leading delivery across multiple modelling projects

Desirable:

  • Experience building or scaling data science functions
  • Familiarity with model governance risk or compliance processes.
  • Knowledge of tooling and infrastructure challenges across data and ML teams.
  • Strategic thinking in resource allocation and modelling roadmaps.
  • Passion for modelling excellence and deep awareness of current trends in applied data science.
  • Experience using cloud services (AWS preferred)
  • A degree (PhD MSc BSc) in a STEM subject or similar provable numerate and quantitative skills

Additional Information :

At Entain we know that signing top players requires a great starting package and plenty of support to inspire peak performance. Join us and a competitive salary is just the beginning.

Depending on your role and location you can expect to receive benefits like:

  • Generous bonus scheme
  • Hybrid working
  • Private medical insurance
  • Pension Scheme - matched to 6%
  • Ability to buy and sell holiday
  • Free subscription to wellbeing app Unmind
  • Entain & Enhance days
  • Sharesave Scheme

Join a winning team of talented people and be a part of an inclusive and supporting community where everyone is celebrated for being themselves.

Should you need any adjustments or accommodations to the recruitment process at either application or interview please contact us.

Remote Work :

No

Employment Type :

Full-time

Experience: years
Vacancy: 1
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