At a Glance
- Tasks: Join our team to analyse data and drive impactful advertising campaigns.
- Company: Stonegate Group, a leader in media analytics with a vibrant culture.
- Benefits: Enjoy 25 days leave, bonuses, discounts, and career development opportunities.
- Other info: Collaborative environment with opportunities for growth and learning.
- Why this job: Make a real difference in advertising while honing your data science skills.
- Qualifications: Degree in a quantitative field and experience in data analysis required.
The predicted salary is between 30000 - 40000 £ per year.
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.
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 setup and configuration within Stonegate's advertising and analytics infrastructure
- 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
- 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
Data Scientist - 6m FTC - West Midlands in Bilston employer: Stonegate Group
Stonegate Group is an exceptional employer, offering a dynamic work environment in the heart of the West Midlands. With a strong focus on employee growth, we provide award-winning learning and development programmes, alongside generous benefits such as 25 days of annual leave and exclusive discounts. Join our collaborative team where your analytical skills will directly impact our innovative MiXR media analytics function, ensuring a meaningful and rewarding career.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - 6m FTC - West Midlands in Bilston
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Stonegate Group on LinkedIn. A friendly chat can give us insider info and maybe even a referral, which can really boost our chances.
✨Tip Number 2
Prepare for the interview by brushing up on your stats and Python skills. We should be ready to discuss how we’d tackle real-world data problems, especially those related to advertising campaigns. Practice explaining complex concepts in simple terms!
✨Tip Number 3
Showcase our analytical prowess! Bring examples of past projects where we’ve designed experiments or analysed data. Having tangible results to discuss will impress the hiring team and show them we mean business.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets seen. Plus, it shows we’re genuinely interested in being part of the Stonegate family.
We think you need these skills to ace Data Scientist - 6m FTC - West Midlands in Bilston
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Scientist role. Highlight your experience with statistical analysis, Python, and SQL, as these are key for us. Use specific examples that showcase your skills in A/B testing and data extraction.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're the perfect fit for this role. Share your passion for data science and how your previous experiences align with our needs at Stonegate. Keep it concise but impactful!
Showcase Your Analytical Skills:In your application, don’t just list your skills—demonstrate them! Include examples of past projects where you’ve applied hypothesis testing or produced clear, actionable insights from data. We love seeing real-world applications!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Stonegate Group
✨Know Your Stats
Brush up on your statistics knowledge, especially around hypothesis testing and significance testing. Be ready to discuss how you've applied these concepts in previous roles or projects, as this will show your understanding of the analytical methods required for the job.
✨Communicate Clearly
Practice explaining complex statistical results in simple terms. Since you'll be presenting findings to non-technical stakeholders, being able to translate your analysis into clear, actionable insights is crucial. Think of examples where you've done this before.
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python and SQL. Have specific examples ready that demonstrate how you've used these tools for data extraction, transformation, and analysis. If you have experience with Databricks or Snowflake, make sure to highlight that too!
✨Prepare for Scenario Questions
Expect questions about how you'd handle real-world data challenges, like dealing with outliers or ensuring data quality. Think through some scenarios in advance and be ready to explain your thought process and the steps you'd take to resolve these issues.