At a Glance
- Tasks: Transform complex business challenges into data-driven solutions and insights.
- Company: Join a leading tech organisation with a high-performing analytics team.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborate with Product and Engineering teams in an exceptional engineering environment.
- Why this job: Make a real impact on global products while solving high-stakes analytical problems.
- Qualifications: 5+ years in Data Science, expert in Python and SQL, strong analytical skills.
The predicted salary is between 63000 - 77000 £ per year.
- Senior Marketing Data Scientist
- 4-month contract
- Hybrid - 3 days per week in London
We are partnering with one of the world's leading technology organisations to recruit an experienced Senior Marketing Data Scientist to join a high-performing analytics team delivering insights that influence product and business strategy.
This is an opportunity to work on large-scale data sets, solve complex business problems and collaborate with Product, Marketing and Engineering teams to deliver measurable commercial impact.
Responsibilities
- Translate complex business challenges into analytical solutions.
- Build statistical models and generate actionable business insights.
- Analyse user behaviour, retention, product performance and marketing effectiveness.
- Develop scalable analytical frameworks and reusable solutions.
- Build dashboards and automated reporting for business stakeholders.
- Write production-quality SQL and Python code.
- Work closely with Product Managers and Engineers to influence strategic decisions.
- Design evaluation metrics and measure business impact.
- Improve data quality, pipelines and analytical processes.
- Present recommendations to senior stakeholders across multiple business functions.
Requirements
- 5+ years' commercial Data Science experience.
- Expert Python and SQL skills.
- Strong statistical analysis and modelling experience.
- Experience analysing product or marketing data.
- Dashboard development experience (Looker, Tableau or Power BI).
- Experience communicating complex findings to non-technical stakeholders.
- Experience working alongside Product and Engineering teams.
- Excellent commercial judgement and problem-solving skills.
- Nice to Have
- R
- Machine Learning
- Big Query
- Cloud Analytics
- Experimentation / A-B Testing
This is an excellent opportunity to work on globally recognised products while solving high-impact analytical problems within an exceptional engineering environment.
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Business & Marketing Data Scientist in London employer: Principle HR
At Principle HR, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation within the technology sector. Our hybrid working model allows for flexibility, while our commitment to employee growth ensures that you will have access to professional development opportunities that enhance your career. Join us in London, where you can make a meaningful impact while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Business & Marketing 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 Principle HR 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 Principle HR.
✨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 Principle HR.
We think you need these skills to ace Business & Marketing Data Scientist in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Principle HR, 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 Principle HR, 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 Principle HR’s attention and show the tangible impact of your work.
How to prepare for a job interview at Principle HR
✨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 Principle HR.
✨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 Principle HR.
✨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 Principle HR.
