At a Glance
- Tasks: Drive product innovation through data, experimentation, and advanced analytics.
- Company: Join a leading company at Heathrow Airport with a hybrid work model.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities for junior team members.
- Why this job: Make a real impact by solving complex product challenges with data.
- Qualifications: 4+ years in Data Science, strong analytical skills, and experience in cross-functional teams.
The predicted salary is between 60000 - 80000 £ per year.
- Senior Product Data Scientist
- Contract Length : 12 Months
- IR35 Status : Inside
About the Role
We are looking for a Senior Product Data Scienti st to help drive product innovation through data, experimentation and advanced analytics.
You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes.
The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges.
What You'll Do
- Partner with Product and Engineering teams to define success metrics and evaluate product performance.
- Conduct exploratory analysis to identify opportunities for growth and customer impact.
- Design and analyse experiments including A/B tests and observational studies.
- Build predictive models and analytical tools that support product decision-making.
- Develop decision science and optimisation solutions where appropriate.
- Create dashboards, reporting frameworks and self-service analytics capabilities.
- Present findings and recommendations to both technical and non-technical audiences.
- Collaborate with stakeholders to translate business problems into analytical solutions.
- Contribute to data science best practices and mentor junior team members.
- Preferred Experience
- 4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields.
- Experience using data to influence product or business decisions.
- Strong understanding of statistics, experimentation and machine learning.
- Experience delivering end-to-end analytical projects.
- Experience working in cross-functional product teams.
- Demonstrated ability to communicate complex findings clearly.
- Technical Skills
- Python and SQL
- Statistical analysis and experimentation
- Machine Learning
- Data Visualisation and Dashboarding
- Cloud-based analytics environments
- Data modelling and feature engineering
- Nice to Have
- Experience with optimisation, operations research or decision science.
- Experience with pricing, scheduling, forecasting or resource allocation problems.
- Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools.
- Experience in airlines, transportation, logistics, retail, marketplace or technology companies.
- MSc or Ph D in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field.
Senior Product Data Scientist in London 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 Senior Product Data Scientist in London
✨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 Senior Product Data Scientist in London
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.
