At a Glance
- Tasks: Join our Data Science team to analyse and report on advertising campaign effectiveness.
- Company: Stonegate Group, the UK's largest pub and bar operator, embracing diversity and inclusion.
- Benefits: 25 days annual leave, bonus scheme, health perks, and exclusive discounts.
- Other info: Flexible support and career development opportunities await you!
- Why this job: Make a real impact with data while working in a vibrant, inclusive environment.
- Qualifications: Strong stats background, proficiency in Python and SQL, and previous data experience.
The predicted salary is between 30000 - 40000 £ per year.
Stonegate Group is the UK’s largest operator of pubs, bars, and late-night venues, including Slug & Lettuce, Be At One, and Popworld. We’re proud of our diverse portfolio and deeply committed to creating an inclusive culture that embraces individuality in all its forms—including neurodiversity.
The Opportunity
We are looking for a Data Scientist to join the Stonegate Group Data Science team on a 6 month fixed term contract basis, providing cover and continuity across our MiXR media analytics function. MiXR is Stonegate's in-venue advertising network, operating across 2,500+ screens and running 10-20 supplier media campaigns simultaneously.
This is a hands‑on analytical role. You will be responsible for the end‑to‑end delivery of commercial trial results; from experimental design and data extraction through to statistical analysis and clear, business‑ready reporting. The ability to produce rigorous, explainable results that non‑technical stakeholders can act on is central to the role.
Applications are welcome from recent graduates with relevant internship or placement experience, as well as candidates with previous commercial data science or analytics experience.
Key Responsibilities
- Campaign Analytics and Trial Delivery
- Design and execute A/B and multivariate experiments for screen and app‑based advertising campaigns
- Apply rigorous significance testing and probability‑based inference to determine campaign effectiveness
- Translate statistical outputs into clear, commercial narratives suitable for supplier and internal stakeholders
- Manage campaign performance tracking and results reporting across concurrent supplier engagements
- Support campaign setup and configuration within Stonegate's advertising and analytics infrastructure
- Statistical Analysis
- Apply hypothesis testing, confidence interval estimation, and Bayesian methods where appropriate to support business decisions
- Ensure analytical outputs are reproducible, well‑documented, and explainable to non‑technical audiences
- Identify and appropriately handle data quality issues, outliers, and confounding variables in experimental data
- Produce clean, audit‑ready analysis that supports commercial sign‑off and supplier accountability
- Data Extraction and Engineering
- Write efficient SQL queries to extract and transform data from Snowflake and other data sources
- Build and maintain Python scripts and pipelines for repeatable analytical workflows
- Work within Databricks for data processing where required (desirable but not essential)
About You
- Strong grounding in statistics: probability theory, hypothesis testing, significance testing, confidence intervals, and experimental design
- Ability to communicate statistical results clearly and confidently to commercial, non‑technical audiences
- Proficiency in Python for data analysis and pipeline development
- Proficiency in SQL for data extraction and transformation
- Previous applied experience, including internship or placement — either post‑undergraduate or post‑Masters
- Detail‑oriented with a commitment to producing accurate, reproducible work
- Comfortable working with ambiguity and translating business questions into analytical problems
- Strong written and verbal communication skills
- A collaborative team player who can manage multiple workstreams simultaneously
- Experience working on commercial trials or campaign measurement in a business environment
- Familiarity with Databricks or similar cloud data platforms
- Exposure to Snowflake or equivalent data warehouse technology
- Experience with A/B testing platforms or media analytics
- Understanding of AI/ML concepts and their application to business problems
What makes Stonegate a great place to work?
- 25 days of annual leave, plus 8 bank holidays, with the option to purchase up to 5 additional days of leave each year
- Bonus Scheme
- Access to discounted Private Medical Insurance through Vitality
- Exclusive discounts on Dental Insurance
- Reward Card via the MiXR app, giving you and your friends 25% off food and drinks as well as VIP entry across our Managed Estate
- Life Assurance which gives access to Help @ Hand
- Access to your pay early via Stream
- The Stonegate Xtra portal with access to a wide range of high street discounts and offers
- Discounted access to David Lloyd membership
- Award winning Learning & Development programmes to drive your career
If you have a disability as outlined by the Equality Act 2010 and require reasonable adjustments to be made during the recruitment process, please let us know in advance so that any support, aids or adaptations can be put in place to assist you. You can contact us on hrsupport@stonegategroup.co.uk.
Data Scientist - 6m FTC employer: Stonegate Pub Company
Stonegate Group is an exceptional employer, offering a vibrant and inclusive work culture that values individuality and supports employee wellbeing. With a commitment to professional growth through award-winning learning programmes and a range of lifestyle perks, including generous annual leave and health benefits, Stonegate empowers its team members to thrive both personally and professionally in the dynamic hospitality sector.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - 6m FTC
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Stonegate Group on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your stats and data analysis skills. Be ready to discuss how you've tackled real-world problems with data. Show them you can turn numbers into stories that make sense to everyone!
✨Tip Number 3
Don’t forget to showcase your Python and SQL skills during interviews. Bring examples of your work or projects where you’ve used these tools. It’s all about proving you can deliver results in a hands-on role!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of the Stonegate family. Let’s get you that Data Scientist role!
We think you need these skills to ace Data Scientist - 6m FTC
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight relevant experience, especially any internships or projects that showcase your skills in statistics, SQL, and Python. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with our mission at Stonegate. Keep it engaging and personal – we love to see your personality come through!
Showcase Your Analytical Skills:In your application, don’t forget to mention specific examples of your analytical work. Whether it's A/B testing or statistical analysis, we want to know how you've tackled real-world problems and what results you achieved. Be clear and concise!
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Stonegate Pub Company
✨Know Your Stats
Brush up on your statistics knowledge, especially around hypothesis testing and significance testing. Be ready to discuss how you would apply these concepts in real-world scenarios, particularly in relation to campaign analytics.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in Python and SQL. Have examples ready of how you've used these tools in previous projects or internships, especially for data extraction and analysis.
✨Communicate Clearly
Practice explaining complex statistical results in simple terms. Remember, the role involves translating data insights for non-technical stakeholders, so being able to communicate effectively is key.
✨Be Ready for Problem-Solving
Expect questions that assess your ability to handle ambiguity and translate business questions into analytical problems. Think of examples from your past experiences where you successfully navigated such challenges.
