At a Glance
- Tasks: Transform data into impactful product features and enhance customer experiences.
- Company: Fast-scaling marketplace business investing in data and AI.
- Benefits: 25 days holiday, private healthcare, and a dog-friendly office.
- Other info: Join a dynamic team with a vibrant social calendar and growth opportunities.
- Why this job: Be at the forefront of data-driven decision-making and product innovation.
- Qualifications: Strong data experience, SQL, Python or R, and a passion for AI.
The predicted salary is between 70000 - 90000 £ per year.
We’re supporting a fast-scaling marketplace business that is investing heavily in data, AI and product-led decision-making. This is a brilliant role for a senior data professional who wants to sit closer to product, customers and commercial outcomes, rather than operate as a reporting function.
You’ll be embedded in a product/platform squad, working alongside Product Managers, Engineers and Designers to turn data into better customer experiences, sharper commercial decisions and data-powered product features. The role is full-stack in direction, but you do not need to be world-class across everything from day one. You might be an analyst who wants to build more, or a data scientist who wants to get closer to product and business impact. The key is curiosity, strong fundamentals and the appetite to keep moving across analytics, data science and data engineering.
What you’ll be doing:
- Acting as the data voice inside a product squad
- Analysing customer journeys, friction points, retention drivers and feature opportunities
- Connecting product work to commercial outcomes such as conversion, retention and margin
- Defining success metrics with Product and tracking feature performance
- Building fast POCs to show how data and AI can improve the customer experience
- Developing data-driven product features and data products
- Running A/B tests, holdouts, sample sizing and post-test analysis
- Owning certified metrics and semantic layer thinking for your squad’s domain
- Using LLMs and AI tools to speed up analysis, prototype ideas and support AI-augmented features
- Turning technical work into clear recommendations for stakeholders
Recent projects in the wider team have included recommendation engines, experimentation, natural language search, image analysis, customer intent scoring and AI-enabled product discovery.
We’re looking for someone with:
- Strong experience in a hands-on data role, ideally in e-commerce, marketplace, retail, consumer tech or product-led environments
- Strong SQL and working Python or R
- Good statistical foundations, including hypothesis testing, sample sizing and A/B testing
- Experience turning data into decisions, not just dashboards
- Product sense and commercial awareness
- Comfort working with modern data tooling, cloud warehouses and dashboarding principles
- An interest in applied AI, LLMs and how data can shape better customer experiences
- Strong stakeholder communication and storytelling skills
It would be a bonus if you have:
- Experience working as the data expert in an Agile product squad
- Exposure to semantic layers, certified metrics or metrics governance
- Experience prototyping data-driven product features
- Familiarity with AI evaluation, guardrails or non-deterministic model outputs
- A quantitative degree or equivalent technical background
This would suit someone who enjoys being close to the customer and the product, wants to use data to shape what gets built, and is excited by the direction data roles are moving in as AI becomes more embedded in day-to-day decision-making.
Benefits include:
- 25 days holiday plus bank holidays
- Wellbeing day
- 5% employer pension contribution
- Private healthcare
- EAP and employee discounts
- Learning and development support
- Volunteer days
- Dog-friendly office and active social calendar
Locations
Senior Decision Scientist in Cheshire, Warrington employer: Burns Sheehan
Join a dynamic and fast-scaling marketplace business in Brighton, where your role as a Senior Decision Scientist will place you at the heart of product innovation and customer experience. With a strong emphasis on employee wellbeing, including 25 days of holiday, private healthcare, and a dog-friendly office, we foster a collaborative work culture that encourages continuous learning and development. This is an exciting opportunity to leverage data and AI in a supportive environment that values curiosity and impactful decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Decision Scientist in Cheshire, Warrington
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Burns Sheehan.
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We think you need these skills to ace Senior Decision Scientist in Cheshire, Warrington
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Burns Sheehan, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Burns Sheehan. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Burns Sheehan
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Burns Sheehan!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
