At a Glance
- Tasks: Join our Marketing Analytics team to optimise marketing investments and build advanced models.
- Company: Exciting sports and gaming brand with a culture of innovation and teamwork.
- Benefits: Flexible working, private healthcare, performance bonuses, and enhanced family leave.
- Other info: Great opportunity for recent graduates and early career professionals.
- Why this job: Make a real impact on marketing strategies while developing your data science skills.
- Qualifications: Degree in a quantitative field and proficiency in Python or R.
The predicted salary is between 54000 - 66000 £ per year.
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 Live Score Group, we’re the proud home of three of the most exciting brands in the sports and gaming world: Live Score, Live Score 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., Geo X 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 (Desirable): Exposure to or strong interest in modern open‑source MMM libraries (e. g., Meta's Robyn, Google's Meridian, or Py MC/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, Geo X 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
- #J-18808-Ljbffr
Junior Data Scientist employer: LiveScore Group
LiveScore Group is an excellent employer, offering a dynamic work environment that fosters creativity and innovation in the realm of customer engagement. With a strong emphasis on employee growth, the company provides opportunities for professional development alongside competitive benefits such as performance bonuses, private healthcare, and flexible working conditions, making it an attractive place for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Scientist
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like LiveScore Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Scientist at LiveScore Group.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like LiveScore Group.
✨Apply Directly through Our Website
When you find a suitable opening like Junior Data Scientist at LiveScore Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at LiveScore Group, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at LiveScore Group. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at LiveScore Group
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at LiveScore Group!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
