Data Scientist

Harnham; City Of London; Hybrid; GBP 59,000 - 72,000; Full time

Job summary

Harnham, based in London, is seeking a Data Scientist to join a leading data and analytics consultancy. Hybrid role with two days per week in London, you will develop predictive models and work directly with stakeholders on commercial data projects.

You will apply Data Science techniques to solve real business challenges, own projects end-to-end, and communicate insights to both technical and non-technical audiences while leveraging modern cloud platforms.

Qualifications

• Strong commercial Data Science experience in predictive modelling.
• Advanced Python and SQL skills.
• Experience building classification, regression and clustering models.
• Strong understanding of model performance, validation and optimisation.
• Confident communicating insights to technical and non-technical stakeholders.
• Experience with modern cloud and data platforms (Databricks/AWS/Azure/Snowflake).
• Exposure to customer analytics, credit risk, collections, telecommunications or utilities is advantageous.

Responsibilities

• Build machine learning models across use cases (propensity to pay, churn, LTV, segmentation).
• Develop classification, regression and clustering models from the ground up.
• Work with clients and stakeholders to define analytical approaches.
• Lead data discovery sessions and gather requirements from SMEs.
• Present insights and model outputs to technical and non-technical audiences.
• Monitor, refine and retrain models for performance.
• Collaborate with analysts, project managers and industry specialists.
• Contribute to reports, dashboards and client presentations.

Skills

Predictive modelling

Python

SQL

Model evaluation

Stakeholder communication

Cloud platforms

Customer analytics

Independent ownership

Tools

Databricks

AWS

Azure

Snowflake

Job description

Data Scientist

London (2 days per week)

Up to £65,000

This is an opportunity to join a leading data and analytics consultancy working on a wide variety of predictive modelling projects across utilities, telecommunications, financial services and customer insight. You'll have the chance to take ownership of projects, work directly with stakeholders and apply Data Science techniques to solve real commercial challenges.

The Company

They are a well-established data and analytics consultancy that combines proprietary data assets with advanced analytical expertise to help organisations make better decisions. Their work focuses on customer intelligence, predictive modelling and analytics solutions that deliver measurable business outcomes.

Working across multiple industries, they partner with clients to solve challenges around customer acquisition, retention, collections, marketing effectiveness and operational performance. Their teams combine industry expertise, analytics and modern data platforms to deliver impactful solutions.

The Role

As a Data Scientist, you will develop predictive models and analytical solutions that support client decision-making and customer strategy.

Responsibilities include:

• Building machine learning models across use cases including propensity to pay, customer acquisition, churn prediction, lifetime value and segmentation
• Developing classification, regression and clustering models using customer and transactional data
• Working closely with clients and stakeholders to understand business problems and define analytical approaches
• Leading data discovery sessions and gathering requirements from subject matter experts
• Presenting insights, recommendations and model outputs to both technical and non-technical audiences
• Monitoring, refining and retraining models to ensure ongoing performance
• Collaborating with analysts, project managers and industry specialists to deliver client projects
• Contributing to reports, dashboards and client presentations

Your Skills & Experience

• Strong commercial Data Science experience within predictive modelling
• Advanced Python and SQL skills
• Experience building classification, regression and clustering models from the ground up
• Strong understanding of model performance, validation and optimisation
• Confident communicating insights to technical and non-technical stakeholders
• Experience with modern cloud and data platforms such as Databricks, AWS, Azure or Snowflake
• Exposure to customer analytics, credit risk, collections, telecommunications or utilities is advantageous
• Comfortable taking ownership of projects and working independently

What They Offer

• Salary up to £65,000
• Hybrid working with two days per week in London
• Exposure to a broad range of Data Science and machine learning projects
• Direct client engagement and stakeholder exposure
• Access to modern cloud and analytics technologies
• Strong opportunities for technical and professional development
• Collaborative and supportive working environment