At a Glance
- Tasks: Develop predictive models and analyse data to solve client challenges.
- Company: Leading UK data and analytics organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a dynamic team and collaborate with industry experts.
- Why this job: Make a real impact by applying data science to exciting projects.
- Qualifications: Experience in Data Science, strong Python and SQL skills required.
The predicted salary is between 63000 - 77000 £ per year.
We are partnering with a leading UK data and analytics organisation to recruit a Data Scientist into its growing Data Science team. The business combines proprietary data, analytical expertise and advanced modelling capabilities to help organisations better understand their customers, predict behaviours and make more informed decisions.
The Role
As a Data Scientist, you will develop and implement predictive models to solve a range of client challenges, with a particular focus on propensity modelling, customer segmentation and behavioural analytics. Working alongside industry specialists, project managers and data analysts, you will be involved throughout the project lifecycle, from understanding client requirements and exploring data through to model development, training and presenting findings.
Key responsibilities will include:
- Developing predictive models and statistical solutions to address client challenges.
- Building and refining propensity models, customer scorecards and segmentation models.
- Analysing complex datasets to identify trends, patterns and actionable insights.
- Working with stakeholders to understand business requirements and participate in data discovery sessions.
- Training, testing and optimising models to improve performance and accuracy.
- Translating analytical findings into clear recommendations and presenting these to clients.
- Working collaboratively with Data Analysts, Project Managers and subject matter experts.
The Ideal Candidate
We are looking for a commercially minded Data Scientist with strong analytical capabilities and an interest in applying data science to real-world business problems. You will ideally have:
- Strong commercial experience in a Data Science or Predictive Analytics role.
- Excellent Python and SQL skills.
- Experience developing predictive models, particularly propensity or behavioural models.
- A good understanding of statistical modelling, machine learning and data analysis techniques.
- Experience working with large and complex datasets.
- The ability to communicate technical findings to non-technical stakeholders.
- Confidence presenting insights and engaging directly with clients.
Desirable:
- Experience with Databricks and Azure cloud environments.
The Opportunity
You’ll join an established Data Science function within a well-regarded data and analytics business, working across a diverse client base and a variety of interesting modelling projects. The role offers a blend of hands‑on technical development, analytical problem‑solving and client interaction, providing the opportunity to develop your modelling expertise while seeing the direct impact of your work.
Location: London – hybrid, typically 2 days per week in the office. Flexibility may be considered for candidates based further north.
Salary: Up to £65,000.
For a confidential discussion, please get in touch.
Data Scientist (Advanced Analytics) in London employer: Harnham Ltd
Join a dynamic and mission-driven scaleup in the heart of London, where your role as a Product Manager will directly contribute to innovative solutions in food sustainability. With a strong emphasis on employee growth, you’ll enjoy a generous benefits package including a 10% annual bonus, 33 days of leave, and a personal L&D budget, all within a collaborative and supportive work culture that values your input and fosters professional development.
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We think this is how you could land Data Scientist (Advanced Analytics) in London
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We think you need these skills to ace Data Scientist (Advanced Analytics) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
