Why This Role Stands Out
This hybrid Data Scientist role offers a fantastic opportunity to build impactful machine learning solutions that drive customer engagement and commercial success, with a highly competitive salary of GBP 100,000. You'll thrive here if you possess strong commercial data science experience and excellent stakeholder management skills, allowing you to directly influence business strategy. Apply now to leverage your expertise in a role with significant growth and visibility.
Quick Overview
Job Description
Data Scientist
London (2 days per week onsite) | Up to £65,000
Looking for a Data Scientist role where you can combine advanced analytics with meaningful client engagement? This is an opportunity to join a well-established data and analytics organisation, delivering predictive modelling solutions and helping organisations make better decisions through data. You'll work across a variety of projects, shaping analytical outcomes while collaborating with both technical and non-technical stakeholders.
The Company
They are a leading data and analytics business that combines consultancy expertise with proprietary data products. Working across sectors including utilities, financial services, telecommunications, and the not-for-profit space, they help organisations unlock value from their data through advanced analytics, modelling, and insight generation.
With a strong focus on innovation and practical application, they provide data-driven solutions that support customer engagement, marketing effectiveness, and business performance.
The Role
As a Data Scientist, you will be responsible for designing, building, and deploying predictive models that solve real-world business challenges.
Key responsibilities include:
- Building and refining predictive models, including propensity and scoring models
- Analysing large datasets to identify trends, opportunities, and actionable insights
- Working closely with clients to understand commercial challenges and project objectives
- Leading data discovery sessions with business stakeholders and subject matter experts
- Presenting analytical findings and recommendations to both technical and non-technical audiences
- Collaborating with Project Managers, Data Analysts, and industry specialists throughout project delivery
- Contributing to the development and optimisation of analytics products and solutions
- Supporting model monitoring, validation, and continuous improvement activities
Your Skills & Experience
- Strong commercial experience using Python and SQL
- Experience building predictive, propensity, classification, or scoring models
- Ability to analyse complex datasets and translate findings into business recommendations
- Experience presenting insights and recommendations to stakeholders or clients
- Strong communication skills with the confidence to engage directly with customers
- Understanding of machine learning techniques and model development lifecycle
- Experience working with Databricks would be highly advantageous
- Exposure to cloud-based analytics environments, particularly Azure, is beneficial
- Consultancy, agency, or client-facing analytics experience is desirable
What They Offer
- Salary up to £65,000
- Hybrid working with 2 days per week in the London office
- Exposure to a wide variety of industries and business challenges
- Opportunity to work with large-scale datasets and advanced analytics projects
- Strong collaboration across Data Science, Analytics, and Product teams
- Clear opportunities to develop both technical and client-facing skills
- A supportive environment that encourages continuous learning and professional growth
How to Apply
If you're a Data Scientist looking to work on impactful predictive modelling projects while developing your client-facing and technical expertise, apply today to find out more.
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