Data Scientist

Harnham; Leicester; Hybrid; GBP 70,000 - 110,000; Full time

Benefits offered by this job

Private medical insurance

Matched pension contributions

Life assurance

Income protection

Hybrid and flexible working

Generous annual leave

Learning and development opportunities

Job summary

Harnham in the United Kingdom is seeking a Senior Data Scientist to develop advanced machine learning solutions for pricing, risk assessment, and business performance. You will build predictive models and data assets, collaborating with data engineers, analysts and other technical specialists to drive impact at scale.

The role emphasises delivering end-to-end ML lifecycle, deploying models, monitoring performance, and driving commercial value within a data-driven environment.

Qualifications

• Strong experience delivering ML projects end-to-end.
• Translate business challenges into analytical solutions.
• Excellent stakeholder communication and collaboration.

Responsibilities

• Build and deploy predictive machine learning models across pricing and risk use cases.
• Develop analytical tools to improve risk portfolio management and decision-making.
• Create innovative features and data assets to enhance model performance.
• Identify and evaluate new data sources that drive commercial value.
• Lead models through the full lifecycle from exploration to deployment and monitoring.
• Partner with stakeholders to define business problems and deliver effective solutions.

Skills

Python

SQL

Stakeholder management

Cross-functional collaboration

Communication skills

Analytical thinking

Tools

Azure Machine Learning

Git

Azure cloud technologies

Job description

Looking to apply advanced machine learning in a highly commercial environment? This is an opportunity to join a data-driven organisation where analytics sits at the heart of strategic decision-making. You'll work on innovative pricing and risk modelling challenges, helping shape how data and machine learning drive business performance.

The Company

They are a well-established consumer-focused organisation with a strong investment in data, analytics, and technology. Their data science function plays a critical role in driving commercial outcomes through advanced modelling and predictive analytics. With a collaborative culture and modern cloud-based technology stack, they offer an environment where innovation and experimentation are encouraged. You will work alongside talented data scientists, analysts, and engineers to deliver impactful solutions at scale.

The Role

As a Senior Data Scientist, you will develop advanced machine learning solutions that support pricing, risk assessment, and business performance.

Responsibilities include:

• Building and deploying predictive machine learning models across a range of commercial use cases
• Developing analytical tools to improve risk portfolio management and decision-making
• Creating innovative features and data assets to enhance model performance
• Identifying and evaluating new data sources that can drive commercial value
• Taking models through the full lifecycle from exploration and development to deployment, monitoring, and optimisation
• Partnering with stakeholders to define business problems and deliver effective solutions
• Working closely with Data Engineers, Data Scientists, Analysts, and other technical specialists
• Contributing to the adoption of emerging machine learning techniques and best practices

Your Skills & Experience

• Strong commercial experience delivering machine learning projects from discovery through to deployment and ongoing model management
• Expertise in Python and SQL
• Experience working with Azure Machine Learning and wider Azure cloud technologies
• Knowledge of version control tools such as Git
• Ability to translate complex business challenges into analytical solutions
• Strong stakeholder management and communication skills
• Experience working in cross-functional data and analytics environments
• Passion for innovation and applying new machine learning approaches to real-world challenges

What They Offer

• Private medical insurance
• Matched pension contributions
• Life assurance and income protection
• Hybrid and flexible working arrangements
• Generous annual leave allowance
• Health, wellbeing, and financial support benefits
• Ongoing learning, development, and career progression opportunities within a growing data science function