At a Glance
- Tasks: Drive data-driven decision making and lead high-impact initiatives across products and platforms.
- Company: Join a leading company at Heathrow Airport with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Mentor fellow data scientists and establish best practices in a dynamic environment.
- Why this job: Shape product strategy and influence decisions that impact customer experiences.
- Qualifications: 8+ years in Data Science with strong skills in machine learning and experimentation.
The predicted salary is between 70000 - 90000 £ per year.
- Principal Product Data Scientist
- Contract Length : 12 Months
- IR35 Status : Insid3
About the Role
We are looking for a Principal Product Data Scienti st to drive the next generation of data-driven decision making across our products, platforms and customer experiences.
This role combines advanced analytics, experimentation, machine learning, optimisation, and strategic leadership to solve complex business problems at scale.
As a Principal Data Scientist, you will shape product strategy, influence executive decision-making, and lead high-impact initiatives from ideation through deployment.
You will partner closely with Product, Engineering, Design, Research and Business stakeholders to unlock customer value and improve operational outcomes.
What You'll Do
- Define and lead the long-term data science strategy for critical product areas.
- Partner with Product leaders to influence roadmap prioritisation through data and experimentation.
- Design and execute advanced analytical frameworks to measure customer behaviour, product performance and business impact.
- Lead complex experimentation programs, including A/B testing, causal inference, uplift modelling and quasi-experimental methods.
- Develop machine learning, optimisation and decision science solutions that improve customer experience and operational efficiency.
- Translate ambiguous business challenges into structured analytical problems and actionable recommendations.
- Communicate insights and recommendations to senior executives and leadership teams.
- Establish best practices for scientific rigor, experimentation, measurement and model governance.
- Mentor and develop other data scientists across the organisation.
- Influence company-wide analytics and product science standards.
- Preferred Experience
- 8+ years of experience in Data Science, Product Analytics, Decision Science, Operations Research, Applied Science or related fields.
- Demonstrated success influencing product strategy through data.
- Strong experience with experimentation, causal inference and measurement frameworks.
- Experience developing machine learning models in production environments.
- Experience with optimisation, decision science, forecasting, recommendation systems or machine learning at scale.
- Proven track record delivering measurable business impact.
- Experience leading cross-functional initiatives involving Product, Engineering and senior stakeholders.
- Previous experience operating at Staff, Principal or equivalent level.
- Technical Skills
- Expert-level Python and SQL
- Experimentation and statistical inference
- Machine Learning and Predictive Modelling
- Causal Inference
- Optimization / Operations Research (preferred)
- Large-scale data processing
- BI and visualization tools
- Cloud-based analytics environments
- Nice to Have
- Airline, transportation, logistics, marketplace, e-commerce or technology experience.
- Experience with mathematical programming (Gurobi, CPLEX, OR-Tools).
- Experience with network optimisation, routing, scheduling, pricing or revenue management.
- Advanced degree (MSc or Ph D) in Data Science, Statistics, Mathematics, Computer Science, Operations Research,
Principal Product Data Scientist in Slough employer: Lorien
Join a forward-thinking company in Manchester that values technical expertise and offers a dynamic work culture. With a focus on hybrid working, flexible hours, and a strong emphasis on employee growth, this role provides the opportunity to lead impactful projects while maintaining a hands-on engineering position. Enjoy a competitive salary, annual bonus, and the chance to shape the future of corporate infrastructure services in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Product Data Scientist in Slough
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Lorien before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Lorien.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Lorien.
We think you need these skills to ace Principal Product Data Scientist in Slough
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Lorien, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Lorien, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Lorien’s attention and show the tangible impact of your work.
How to prepare for a job interview at Lorien
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Lorien.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Lorien.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Lorien.
