At a Glance
- Tasks: Join our team to analyse data and drive impactful advertising campaigns.
- Company: Stonegate Group, the UK's largest pub and bar operator with a vibrant culture.
- Benefits: Enjoy 25 days annual leave, health perks, and exclusive discounts.
- Other info: Diverse and inclusive workplace with excellent career development opportunities.
- Why this job: Make a real impact in a hands-on role with cutting-edge analytics.
- Qualifications: Strong stats background, Python and SQL skills, and a collaborative spirit.
The predicted salary is between 50000 - 55000 £ 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. By fostering an environment where everyone feels welcome, valued, and supported, we reflect the vibrant communities we serve and empower our people to thrive.
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?
At Stonegate, we believe that when you feel your best, you do your best. That’s why we’re committed to supporting the health, happiness, and overall wellbeing of every team member. From lifestyle perks and flexible support to mental health resources, our benefits are designed to help you thrive, both in and out of 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: Finance - FP&A Group
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 leave options and health resources, 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 people in the industry, attend meetups, and connect with current employees at Stonegate Group. A friendly chat can sometimes lead to opportunities that aren’t even advertised!
✨Tip Number 2
Prepare for interviews by brushing up on your statistical knowledge and practical skills. Be ready to discuss your experience with A/B testing and SQL queries, as these are key for the Data Scientist role.
✨Tip Number 3
Showcase your analytical projects! Whether it’s a personal project or something from your internship, having tangible examples of your work can really impress interviewers and demonstrate your hands-on experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining a team that values diversity and inclusion.
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 and data analysis. 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 Technical Skills:Don’t forget to mention your proficiency in Python and SQL! If you've worked with data extraction or analytics tools like Snowflake or Databricks, make sure to highlight that experience. We’re looking for hands-on skills that will help us deliver results.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at Finance - FP&A Group
✨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. You might be asked to write a sample query or explain how you would build a data pipeline. Practising these skills beforehand will help you feel more confident during the interview.
✨Communicate Clearly
Since you'll need to translate complex statistical outputs into clear narratives for non-technical stakeholders, practice explaining your past projects in simple terms. This will show that you can bridge the gap between technical analysis and business needs.
✨Be Ready for Real-World Scenarios
Expect questions about how you would handle data quality issues or outliers in experimental data. Think of examples from your experience where you've successfully navigated similar challenges, as this will highlight your problem-solving skills.
