At a Glance
- Tasks: Design and deploy data science solutions that transform data into actionable insights.
- Company: Globally recognised provider of independent market intelligence.
- Benefits: £550 per day, hybrid working, and strong potential for contract extension.
- Other info: Engage with both technical and business stakeholders while enhancing your career.
- Why this job: Tackle high-impact problems in a collaborative and intellectually stimulating environment.
- Qualifications: 7+ years in Data Science, strong Python skills, and experience with production environments.
The predicted salary is between 63000 - 77000 £ per year.
This is an opportunity for a Senior Data Scientist to join a team focused on developing and deploying analytical solutions used by leading org's worldwide.
You'll enjoy taking ownership of the entire solution lifecycle, from problem definition and model design through to deployment, monitoring and continuous improvement and will work on complex quantitative challenges, helping transform data into actionable insights supporting strategic decision-making.
Client Details
Our client is a globally recognised provider of independent market intelligence, delivering data-driven insights and forecasts across countries, industries, and risk domains.
They partner with leading organisations worldwide to support strategic decision-making in complex and evolving markets.
- Description
- Design, develop and deploy production-grade data science and machine learning solutions.
- Own the full delivery lifecycle from concept, data acquisition and modelling through to deployment and operational support.
- Build robust, scalable and maintainable Python applications suitable for enterprise environments.
- Develop forecasting models, predictive analytics solutions and quantitative methodologies.
- Work closely with subject matter experts to translate analytical frameworks into defensible, repeatable outputs.
- Design and implement testing, validation and monitoring processes to ensure model quality and reliability.
- Develop and maintain cloud-based and containerised analytical applications.
- Contribute to CI/CD pipelines, code quality standards and engineering best practices.
- Communicate analytical findings and recommendations to both technical and non-technical stakeholders.
- Support ongoing enhancement of production systems, ensuring governance, reproducibility and operational resilience.
- Profile
- Minimum 7 years' commercial experience in Data Science, Machine Learning or Quantitative Development.
- Strong Python development skills with experience building production-ready applications.
- Proven experience delivering analytical solutions into live production environments.
- Strong understanding of statistical modelling, machine learning techniques and model evaluation methodologies.
- Experience working with time series analysis, forecasting, classification, regression and clustering techniques.
- Strong SQL and data manipulation skills.
- Experience with software engineering best practices, including testing, version control and code reviews.
- Exposure to cloud platforms, containerisation and modern deployment practices.
- Knowledge of CI/CD, Dev Ops or MLOps principles would be highly beneficial.
- Excellent communication skills and the ability to engage effectively with both technical and business stakeholders.
- Degree in a quantitative discipline preferred.
- Job Offer
- 6-month contract with strong potential for extension
- 2-3 days per week in the London office
- (hybrid working)
- £550 per day (outside IR35)
- Opportunity to work on high-impact, real-world problems
- Collaborative, intellectually stimulating environment with strong learning opportunities
Senior Data Scientist in London employer: Michael Page Technology Careers
As a Senior Business Analyst at this leading UK regulatory body, you'll be part of a purpose-driven organisation dedicated to maintaining high standards and protecting the public. The company fosters a collaborative work culture that values innovation and employee growth, offering opportunities for professional development within a transformative environment focused on enhancing regulatory capabilities. With a commitment to meaningful impact across the UK, this role provides a unique chance to contribute to projects that drive efficiency and fairness in a nationally significant industry.
Contact Details:
Michael Page Technology Careers Recruitment Team
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 Michael Page Technology Careers 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 Michael Page Technology Careers.
✨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 Michael Page Technology Careers.
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 Michael Page Technology Careers, 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 Michael Page Technology Careers, 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 Michael Page Technology Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Michael Page Technology Careers
✨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 Michael Page Technology Careers.
✨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 Michael Page Technology Careers.
✨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 Michael Page Technology Careers.
