Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Analyse complex datasets and drive product decisions through data insights.
- Company: Join a dynamic team focused on innovative product development.
- Benefits: Enjoy remote work flexibility and opportunities for professional growth.
- Why this job: Shape product direction while collaborating with passionate teams in a data-driven culture.
- Qualifications: Strong SQL, Python/R skills and experience in product analytics required.
- Other info: This is an 8-month remote position perfect for aspiring data scientists.
The predicted salary is between 28800 - 48000 £ per year.
Role: Data Scientist - Product Analytics
Location: UK- Remote
Duration: 8 Months
We're looking for a data-driven, product-focused Data Scientist to join our team! In this role, you'll partner closely with Product and Engineering to uncover user insights, drive experimentation, and help shape the direction of our products through data.
What you’ll do:
- Analyze large, complex datasets to inform product decisions
- Design and interpret A/B tests and other experiments
- Partner with cross-functional teams to identify trends and opportunities
- Build dashboards and define metrics that track product success
- Deliver clear insights and strategic recommendations
What we’re looking for:
- Strong skills in SQL, Python/R, and data visualization
- Experience with product analytics and user behavior analysis
- Familiarity with experimentation, statistical modeling, and data storytelling
- Comfort working with large-scale data and distributed systems
Contact Detail:
US TECH SOLUTIONS LIMITED Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Product Analytics
✨Tip Number 1
Familiarise yourself with our products and the data we collect. Understanding how our users interact with our offerings will give you a significant edge in interviews, as you'll be able to discuss specific insights and potential improvements.
✨Tip Number 2
Brush up on your SQL and Python/R skills. Consider working on personal projects or contributing to open-source projects that involve data analysis, as this practical experience can really showcase your abilities during discussions with us.
✨Tip Number 3
Prepare to discuss your experience with A/B testing and statistical modelling. Be ready to share examples of how you've used these techniques to drive product decisions, as this is a key aspect of the role we're looking to fill.
✨Tip Number 4
Network with current or former employees in similar roles. They can provide valuable insights into our company culture and expectations, which can help you tailor your approach when you apply through our website.
We think you need these skills to ace Data Scientist - Product Analytics
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python/R, and data visualisation. Include specific examples of how you've analysed complex datasets and contributed to product decisions.
Craft a Compelling Cover Letter: In your cover letter, emphasise your passion for product analytics and your ability to derive insights from data. Mention any relevant projects or experiences that showcase your skills in experimentation and statistical modelling.
Showcase Your Technical Skills: If you have experience with A/B testing or building dashboards, be sure to include this in your application. Highlight any tools or frameworks you are familiar with that relate to the role.
Prepare for Data Storytelling: Be ready to discuss how you can communicate complex data insights clearly. Think of examples where you've successfully conveyed data-driven recommendations to non-technical stakeholders.
How to prepare for a job interview at US TECH SOLUTIONS LIMITED
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python/R, and data visualisation tools. Bring examples of past projects where you successfully analysed large datasets or built dashboards, as this will demonstrate your technical proficiency.
✨Understand Product Analytics
Familiarise yourself with product analytics concepts and be ready to discuss how you've used data to inform product decisions in the past. Highlight any experience you have with A/B testing and experimentation, as this is crucial for the role.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to work with cross-functional teams. Think of specific scenarios where you identified trends or opportunities through data analysis and be ready to explain your thought process.
✨Communicate Insights Clearly
Practice explaining complex data insights in a simple and clear manner. The ability to tell a compelling story with data is essential, so prepare to discuss how you've delivered strategic recommendations based on your analyses.
