At a Glance
- Tasks: Lead data analytics and science for international revenue monitoring and reporting.
- Company: Award-winning global SaaS company with a focus on innovation.
- Benefits: Hybrid working, potential contract extension, and exposure to diverse teams.
- Other info: Opportunity to work with cross-functional teams and enhance your career.
- Why this job: Make a real impact by driving data insights in a dynamic environment.
- Qualifications: Proven experience in data science and strong analytical skills.
The predicted salary is between 56250 - 68750 £ per year.
Our award-winning global SaaS client is seeking an experienced, hands-on Senior Data Scientist covering International (UK and CA) run-the-business analytics and data science. You will be the sole senior owner, keeping revenue visibility, regulatory reporting, and the current model suite running. This role is a 6 Month contract, Hybrid working – potential to extend. You will work closely with product, marketing, engineering, business development, compliance, and member support. This role suits an operator who takes over existing BAU and runs it end to end with minimal hands-on support, staying reliable under real deadlines.
Responsibilities:
- Monitor the International revenue baseline across the UK and CA.
- Investigate anomalies and give early warning on revenue movement.
- Support partner monitoring and escalations: new offer setup, lookalike and recommender admin, partner click-report fixes, and partner ranking changes.
- Run email campaign and performance monitoring: anomaly investigation, re-targeting, send-failure triage, and churn-driver analysis.
- Support experimentation and testing: experiment monitoring, reads, and promotion calls.
- Handle member support and regulatory pulls: DSAR and RTBF requests, complaint data, FCA regulatory returns, and marketplace-ranking monitoring, often against same-day or next-morning deadlines.
- Represent analytics in forums.
Senior Data Scientist in London employer: Executive Facilities
As a long-established and award-winning law firm, our client offers a dynamic work environment that fosters professional growth and collaboration. Employees benefit from a supportive culture that values innovation and relationship-building, alongside competitive bonuses for successful business development efforts. Located in a vibrant area, the firm provides unique networking opportunities within the real estate sector, making it an excellent employer for those looking to make a meaningful impact in their careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior 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 Executive Facilities 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 Executive Facilities.
✨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 Executive Facilities.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Executive Facilities, 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 Executive Facilities, 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 Executive Facilities’s attention and show the tangible impact of your work.
How to prepare for a job interview at Executive Facilities
✨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 Executive Facilities.
✨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 Executive Facilities.
✨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 Executive Facilities.
