ApplySarthiJunior Data Scientist
Livescore9
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Preparing for this interview
Interviews for scientist roles keep coming back to Python, Machine learning, SQL, C++. Practise those questions before you sit with Livescore9.
Questions you are likely to be asked
- Why do you want to join Livescore9?
- What is your experience with Machine learning? Tell me one thing you learned the hard way.
- What would you check first if a model's accuracy dropped after going live?
- When would you not use machine learning for a problem?
- Walk me through a model you built, from the data to how it was used.
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Practise the Junior Data Scientist at Livescore9 interview free →Soho, London
Hybrid working: 3 days in the office Tues - Thurs
The Role
We are looking for a brilliant and motivated Junior Data Scientist to join our Marketing Analytics team. In this role, you will help us measure, optimize, and supercharge our marketing investments across our core brands, with a strong focus on our mathematical and econometric modelling frameworks.
You will have a unique opportunity to develop a dual profile: a rigorous data scientist who can manipulate complex datasets and build advanced models, and a strategic partner who translates those insights into clear growth strategies. You will step into a key position, taking hands-on ownership of our Marketing Mix Modelling (MMM) pipeline and helping us bridge the gap between statistical modelling, incrementality testing, and real-world multi-million-pound budget decisions.
At LiveScore Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: LiveScore, LiveScore Bet and Virgin Bet. A fully owned and operated ecosystem that converges the two worlds of sports media and sports betting. We’re proud of the high ratings for our commitment to excellence and fueling fan’s passion for sport driving us to the top.
We don’t just lead; we innovate. Our cutting-edge products and immersive experiences set the standard, but it’s our people who truly make the difference. Every day, our team embody our values: adaptability, teamwork, a fan-driven approach, and an ever-curious mindset that fuels our ambition.
As we scale and continue to create a culture that allows all employees to thrive, we know we need the most talented people with diverse backgrounds, perspectives and skills. If you’re good at what you do, come and join us. The more inclusive we are, the more amazing experiences we can create for our users.
We know that job descriptions can sometimes seem daunting and you might not feel you tick every box. But, if you’re passionate about the role and have relevant experience, we want to hear from you!
Key Responsibilities
- Hands-on Marketing Mix Modelling (MMM): Play a key role in our end-to-end MMM pipeline. You will be responsible for gathering, cleaning, and structuring time-series marketing data (spend, impressions, external factors) and building/refining statistical models to measure the ROI of our channels.
- Model Calibration & Triangulation: Help calibrate our MMM outputs using results from incrementality testing. You will actively use ground-truth experimental data (e.g., GeoX tests, attribution model).
- Budget Scenario Planning: Translate model outputs into actionable simulation tools and optimization scenarios. You will help stakeholders answer critical "what-if" questions regarding budget reallocations and product splits.
- User Data & Performance Analytics: Use SQL to deep-dive into first-party user data and tracking key KPIs.
- Data Quality & Pipeline Ownership: Collaborate with our Data Engineering teams to automate data ingestion pipelines, ensuring high-quality, model-ready inputs from ad-platforms, attribution tools, and internal databases.
- Stakeholder Communication: Translate complex econometric, Bayesian, or machine learning concepts into clear, commercial, and highly visual recommendations for marketing team leads and senior leadership.
Skills, Knowledge and Experience
- Proven experience or a degree in a highly quantitative field (e.g., Econometrics, Statistics, Mathematics, Data Science, Economics, or Engineering).
- Python (or R) proficiency: Solid programming foundations for data manipulation (pandas, numpy), statistical modeling, and machine learning (we primarily use Python).
- Strong SQL skills: Comfortable writing efficient, structured queries to extract and aggregate massive datasets from relational databases.
- MMM Frameworks: Exposure to or strong interest in modern open-source MMM libraries (e.g., Meta's Robyn, Google's Meridian, or PyMC/Bayesian workflows).
- Solid foundation in econometrics, time-series analysis, and regression modeling (OLS, Ridge/Lasso, Bayesian regression).
- Good understanding of testing and experimentation methodologies (A/B testing, GeoX testing, hypothesis testing, and statistics like MDE and bias analysis).
- A keen interest in marketing dynamics (customer acquisition, CAC, CPA, ROI, and media attribution).
- We welcome applications from recent graduates and early career professionals, including candidates who have gained initial experience in an agency or client side environment, ideally with exposure to Marketing Mix Modelling (MMM), marketing effectiveness, or related marketing analytics.
What can we offer?
- Company Performance Bonus
- Flexible Working Agreements where applicable
- Private Healthcare Scheme + Employee Enhanced Assistance
- Enhanced Family Leave - Maternity, Shared Parental & Adoption Leave: up to 6 months at full pay and 6 months at half pay. Paternity leave: up to 4 weeks at full pay
- Subsidised Gym Membership
- Annual Travel Card Loan & Ride to Work Scheme
- Life Assurance (x3 salary)
- Contributory Pension Plan
- Virgin Family: Giving you access to exclusive Virgin offers and experiences
- Thursday drinks in the office and regular socials
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Listed on arbeitnow · posted 2026-09-26. ApplySarthi collects openings and links to application pages; the role is advertised by Livescore9, not by us.