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Data Science Manager
Data Science Manager – Angstrom Sports (Entain)
About Angstrom Sports
This role is for Angstrom Sports, a proprietary sports pricing and product provider. We develop intricate, simulation-driven pricing and risk systems to empower key sports brands within the Entain Group.
Founded in 2018, Angstrom pioneered player-level, play-by-play simulations and forecasting—a capability rapidly gaining traction across the sports betting market. After being acquired by Entain in 2023, we now operate as a semi-autonomous division, specialising in next-generation sports betting products: sports-first, recreationally-focused, and designed to make betting more engaging, intelligent, and fun.
We foster a high-performing, low-ego team where brilliant people are empowered to thrive. Our growth is deliberate and inclusive, built on mutual trust, respect, and a culture that values independent thinking.
About the Role
We’re expanding our Sports Analytics company based in London Bridge, seeking a talented organiser of people and projects.
As Data Science Manager, you’ll manage Leads of multiple sport-specific modelling teams, ensuring consistency, alignment, and delivery across our suite of PnP models while supporting their career growth.
You’ll collaborate closely with the Head of Data Science to shape the department’s strategy, staffing, and direction, driving scaling of our data science capability. Key priorities include:
- Ensuring technical excellence, delivery efficiency, and team cohesion.
- Balancing resource planning to optimise departmental objectives.
- Promoting a culture of experimentation, cross-team learning, and best practice.
Key Responsibilities
Your leadership will span resource management, strategic direction, and team dynamics:
- People & Team Management
- Plan, staff, and facilitate career development for Leads across multiple modelling teams.
- Sheet technical or performance gaps in the organisation and implement solutions.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Why you're a good match
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Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
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Delivery & Quality
- Align project planning, prioritisation, and model delivery with business goals.
- Maintain high technical standards, championing clean code practices, model documentation, and best-in-class deployment.
- Serve as a red zone for escalation on technical or resourcing issues.
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Strategy & Growth
- Shape department-wide strategy with the Head of Data Science, including tooling investments and hiring planes.
- Partner with Delivery & Engineering to optimise team efficiency.
- Champion model governance, risk, or compliance considerations.
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Culture & Collaboration
- Drive inclusivity, experimentation, and accountability across teams.
- Act as a bridge in cross-functional discussions and leadership forums.
- Maintain a culture of healthy conflict resolution while reinforcing top performance.
What We’re Looking For
Essential Qualifications
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Proven track record of managing Data Science Leads and growing high-performing teams.
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Ability to align multi-project delivery across sports/technical domains.
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Strong technical background in model development/deployment (capable of constructive challenge).
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Proficiency in advanced programming (Python/Python-skyward/R/C#/Java).
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Robust leadership skills: coaching, mentoring, highlighting for the individual, and clear cut
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Demonstrated experience in hiring decisions, performance management, and team development.
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Fluency in cross-functional priorities, capacity management, and risk-based trade-offs.
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Commitment to collaboration, experimentation, and delivery.
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Domain-specific expertise in sports modelling or betting products.
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≥2 years’ experience managing modelling projects across teams.


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Desirable Skills
- Organisational function scaling (e.g., high-performing teams).
- Familiarity with model governance, risk, or compliance frameworks.
- Technical insights into MLOps, cloud tooling (AWS preferred).
- Experience with data engineering challenges, pipelines, or scaling.
- Passionate about modelling excellence, including pipeline, and cloud.
- Appetite for machine learning in emerging areas.
- Education equivalent to an Unanimous degree (PhD/MSc/BSc) in quantitative subjects.
What You’ll Join
As an organisation, Entain is a leader in sports betting innovators and performance teams. As an individual, you’ll thrive in an environment shaping the next wave of engaging sports products. We aim to provide:
Compensation & Benefits
- Competitive salary tailored to market standards.
- Generous Variable Incentive Scheme.
- Hybrid working with a 3/2 local connection model.
- Access to careers at leading UK and European clubs.
- Additional employer-subsidised medical policies.
- Pension matching of 6%.
- Flexible travel policy (hlicharly holiday purchase/sale).
- A Unmind subscription included.
- Unlimitedمولды (catch-up plenary days) for Mantra and development.
- Security shares awards via Entain #Sharesave Scheme.
Culture & Values
angiestrom retains an open and collaborative nature, driven by smart thinking. Here, no assumptions rule—we realise work gets done by people who prioritise solutions over unquestioned procedures.
Why *not partnered-to-one with a fair life? Leverage your energy: leadership opportunities exist. We deeply value diversity but reinforce inclusiveness through thoughtful paralells.
Should you require any adjustments or accommodations to the process or practical limitations of the hiring process, please don’t hesitate.
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