At a Glance
- Tasks: Join our team to analyse data and deliver impactful advertising campaign results.
- Company: Stonegate Group, a leader in media analytics with a vibrant culture.
- Benefits: Enjoy 25 days annual leave, bonus schemes, and exclusive discounts.
- Other info: Great opportunity for recent graduates with internship experience.
- Why this job: Make a real impact in a hands-on role while developing your data science skills.
- Qualifications: Degree in a quantitative field and proficiency in Python and SQL required.
The predicted salary is between 30000 - 40000 £ per year.
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
- 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 in Birmingham employer: Stonegate Group
Stonegate Group is an exceptional employer that fosters a collaborative and innovative work culture, particularly within the Data Science team. With a commitment to employee growth, we offer award-winning learning and development programmes, alongside competitive benefits such as generous annual leave, private medical insurance, and exclusive discounts. Join us in a dynamic environment where your analytical skills will directly impact our in-venue advertising network across 2,500+ screens, making your contributions both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - 6m FTC in Birmingham
✨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 university project or a personal endeavour, 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 find all the latest roles and updates there.
We think you need these skills to ace Data Scientist - 6m FTC in Birmingham
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, Python, and SQL. We want to see how you can bring value to our MiXR media analytics function!
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 needs. Be sure to mention any hands-on experience you've had with A/B testing or campaign analytics.
Showcase Your Analytical Skills:In your application, don’t shy away from discussing specific analytical methods you've used. Whether it's hypothesis testing or data extraction, we want to know how you approach problems and deliver results. Make it clear that you can translate complex data into actionable insights for non-technical stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly. Plus, it shows you're keen on joining our team at Stonegate Group!
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 would apply these concepts in real-world scenarios, particularly in relation to A/B testing and campaign analytics.
✨Showcase Your Technical Skills
Be prepared to demonstrate your proficiency in SQL and Python. You might be asked to write a sample query or explain how you would build a data pipeline. Having examples from past projects or internships can really help illustrate your capabilities.
✨Communicate Clearly
Practice explaining complex statistical results in simple terms. Remember, the role involves translating technical outputs for non-technical stakeholders, so being able to convey your findings clearly is crucial.
✨Prepare for Scenario Questions
Think about potential challenges you might face in the role, such as handling data quality issues or managing multiple campaigns. Prepare to discuss how you would approach these situations, showcasing your problem-solving skills and attention to detail.
