At a Glance
- Tasks: Design and execute experiments for advertising campaigns, analyse data, and report results.
- Company: Join Stonegate Group, a leader in media analytics with a vibrant team culture.
- Benefits: Enjoy 25 days annual leave, bonuses, discounts, and career development opportunities.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make an impact in data science while working on exciting advertising projects.
- Qualifications: Degree in a quantitative field and experience in data analysis or internships.
The predicted salary is between 30000 - 40000 £ per year.
About the Role
Stonegate Group is looking for a Data Scientist to join the Stonegate Group Data Science team on a 6 month fixed‑term contract, 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
- 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 set‑up 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).
Qualifications
- 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.
- Degree‑level education in a quantitative discipline (Data Science, Mathematics, Statistics, Physics, Computer Science, or equivalent).
- 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.
Desirable
- 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.
Benefits
- 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.
Data Scientist - 6m FTC - Stonegate Company Ltd in Solihull employer: Stonegate Company Ltd.
Stonegate Company Ltd is an exceptional employer that fosters a collaborative and innovative work culture, particularly within its Data Science team. Employees benefit from generous annual leave, a bonus scheme, and access to exclusive discounts, alongside award-winning learning and development programmes that support career growth. Located in a dynamic environment, the company encourages meaningful contributions to its MiXR media analytics function, making it an ideal place for those seeking impactful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - 6m FTC - Stonegate Company Ltd in Solihull
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Stonegate on LinkedIn. A friendly chat can give us insider info about the role and maybe even a referral!
✨Tip Number 2
Prepare for the interview by brushing up on your stats and SQL skills. We want to show off our analytical prowess, so practice explaining complex concepts in simple terms for non-technical folks.
✨Tip Number 3
Showcase your projects! If you've done any cool data science work, whether in internships or personal projects, make sure to highlight them. We love seeing practical applications of your skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are eager to join our team.
We think you need these skills to ace Data Scientist - 6m FTC - Stonegate Company Ltd in Solihull
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 your background fits with what we're looking for!
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 skills can contribute to our MiXR media analytics function. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your proficiency in Python and SQL! If you've worked on any projects involving data extraction or statistical analysis, make sure to include those details. We’re keen to see your technical chops in action.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Stonegate Company Ltd.
✨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 A/B testing and campaign effectiveness.
✨Showcase Your Technical Skills
Prepare to demonstrate your proficiency in SQL and Python. Have examples ready of how you've used these tools in past projects or internships, especially for data extraction and analysis. If you have experience with Databricks or Snowflake, make sure to highlight that too!
✨Communicate Clearly
Practice explaining complex statistical results in simple terms. You’ll need to convey your findings to non-technical stakeholders, so think about how you can turn your analytical insights into clear, actionable narratives.
✨Be a Team Player
Stonegate values collaboration, so be prepared to discuss your experiences working in teams. Share examples of how you've managed multiple tasks or projects simultaneously, and how you’ve contributed to team success in previous roles or during your studies.