At a Glance
- Tasks: Lead data-driven product strategies and enhance decision-making for a major consumer loyalty business.
- Company: Dynamic company at the forefront of data science and personalisation.
- Benefits: Competitive salary, bonus, and flexible working arrangements.
- Other info: Opportunity to solve real business challenges in a rich data ecosystem.
- Why this job: Make a real impact by bridging data science and product development.
- Qualifications: Experience in data science and product management with strong stakeholder engagement skills.
The predicted salary is between 63000 - 77000 £ per year.
Are you a Product Manager who wants to sit at the intersection of data science, personalisation and commercial strategy, with real influence over how a business makes decisions at scale? If so, this could be the ideal next step for you.
As Data Product Manager, you'll wrap around the data science team and own the experimentation paradigm, helping shape the decisioning and personalisation strategy - next best action, next best offer, recommender systems - for a large consumer loyalty business with a genuinely rich and complex data ecosystem. You'll prioritise the DS roadmap, align data science output with front-end product teams, and make sure the team is working on the highest-value bets rather than technically impressive but strategically misaligned ones. This role exists precisely because that alignment gap is real: a fully functional semantic search product was built without front-end buy-in and still isn't in use.
What are they looking for?
- A former data scientist who has moved into product, or equivalent experience turning data science and optimisation work into real products
- Someone who has worked inside a data science function and understands how models actually get built
- Strong product judgement, able to weigh up model development by business impact rather than technical polish alone
- Comfortable holding your own with data scientists on what's feasible and what trade-offs are worth making
- Confidence operating with senior stakeholders, including where priorities genuinely conflict
- A solid grasp of how data science and experimentation work is typically structured and delivered
- A track record of getting models out of testing and into everyday use, not just building something clever
What's in it for you?
- A rare product role that sits genuinely at the intersection of data science, personalisation and commercial strategy
- Real influence over how decisioning and personalisation work end-to-end, not just at the margins
- A business with a rich, complex data ecosystem and real scale to make an impact in
- A mandate to fix a known problem - misalignment between DS output and front-end delivery - rather than inherit a vague brief
Please get in touch now for more information on both the role and the company!
Data Product Manager in Slough employer: Burns Sheehan
Burns Sheehan offers an exceptional work environment in Oxford, where innovation meets collaboration. As a Platform Engineer, you will not only tackle unique engineering challenges but also benefit from a culture that prioritises employee growth and development. With access to cutting-edge technology and a commitment to making a visible impact in the robotics field, this role provides a rewarding opportunity for those looking to thrive in a high-growth technology landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Manager in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Burns Sheehan!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Product Manager at Burns Sheehan.
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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 Data Product Manager in Slough
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.
