Pricing Data Scientist

Sellick Partnership; West Midlands; Hybrid; GBP 63,000 - 77,000; Full time

Benefits offered by this job

Hybrid working up to 80% remote

Job summary

Sellick Partnership is recruiting a Pricing Data Scientist in the West Midlands with a focus on developing pricing models and analytics to drive business decisions. You will influence pricing strategy across personal and commercial lines and work on a major transformation programme.

The role requires expertise in pricing, data modelling and data science, with strong SQL/Python/R skills, and a collaborative leadership style to coach colleagues and deliver high-quality results.

Qualifications

• Proven experience in pricing, data science and/or statistical modelling within a corporate environment.
• Experience within financial services or the insurance sector would be advantageous.
• Strong technical expertise in data analysis, statistical modelling and the development of analytical solutions.
• Experience using programming and analytical tools such as SQL, Python or R.
• Demonstrable experience designing, developing and evaluating models, translating outputs into actionable business insights.
• Understanding of model performance monitoring, data quality and analytical governance.
• Strong stakeholder engagement and communication skills, with the ability to influence decision-making at different levels.
• Experience leading complex analytical projects and delivering high-quality results within a business environment.
• A collaborative leadership style, with experience or a strong interest in coaching, mentoring and developing colleagues.
• A proactive and innovative approach to problem-solving, research and continuous improvement.
• An inquisitive and creative mindset, with the ability to adapt to changing business requirements and complex challenges.
• The ability to balance technical delivery with stakeholder management and the development of team capability.

Responsibilities

• Lead the development and enhancement of pricing models and analytical approaches to support business objectives.
• Undertake behavioural modelling, research, development and innovation activities across the full pricing lifecycle.
• Design, build and continually improve models using advanced statistical techniques and data science methodologies.
• Support the development and implementation of new pricing models and rating strategies across personal and commercial product lines.
• Monitor model performance, ensuring analytical outputs remain accurate, effective and suitable for business decision-making.
• Maintain robust quality control processes and data integrity standards, ensuring compliance with relevant requirements.
• Benchmark pricing capabilities and identify opportunities to improve existing methods, processes and technical expertise.
• Work closely with stakeholders to translate complex analytical findings into clear business insights and recommendations.
• Influence business decisions through effective communication of pricing insights, modelling outcomes and recommendations.
• Support the development of team capability through coaching, mentoring and knowledge sharing.
• Contribute to strategies, development plans and learning initiatives to strengthen technical expertise across the wider function.
• Champion continuous improvement, innovation and the effective application of data science to deliver business value.

Skills

Pricing

Data science

Statistical modelling

SQL

Python

R

Stakeholder engagement

Leadership

Tools

SQL

Python

R

Job description

Pricing Data Scientist

Salary: up to £70,000

Location: West Midlands- hybrid working

Contract: Permanent

Overview of the Pricing Data Scientist role

We are currently working with a well-established organisation within the financial services sector that is looking for an experienced Pricing Data Scientist to join its Pricing Development team. This is an exciting opportunity for a data science and modelling professional to play a leading role in developing pricing models, influencing business decisions and supporting a significant business-wide transformation programme.

The successful candidate will work across the full pricing lifecycle, helping to enhance pricing capabilities, develop innovative analytical solutions and deliver insight-driven outcomes. This role offers the opportunity to contribute to a high-profile strategic initiative while supporting the development of colleagues and driving continuous improvement across the pricing function.

Key responsibilities of the Pricing Data Scientist will include

• Lead the development and enhancement of pricing models and analytical approaches to support business objectives.
• Undertake behavioural modelling, research, development and innovation activities across the full pricing lifecycle.
• Design, build and continually improve models using advanced statistical techniques and data science methodologies.
• Support the development and implementation of new pricing models and rating strategies across personal and commercial product lines.
• Monitor model performance, ensuring analytical outputs remain accurate, effective and suitable for business decision-making.
• Maintain robust quality control processes and data integrity standards, ensuring compliance with relevant requirements.
• Benchmark pricing capabilities and identify opportunities to improve existing methods, processes and technical expertise.
• Work closely with stakeholders to translate complex analytical findings into clear business insights and recommendations.
• Influence business decisions through effective communication of pricing insights, modelling outcomes and recommendations.
• Support the development of team capability through coaching, mentoring and knowledge sharing.
• Contribute to strategies, development plans and learning initiatives to strengthen technical expertise across the wider function.
• Champion continuous improvement, innovation and the effective application of data science to deliver business value.

Required experience/qualifications of the Pricing Data Scientist position will include

• Proven experience in pricing, data science and/or statistical modelling within a corporate environment.
• Experience within financial services or the insurance sector would be advantageous.
• Strong technical expertise in data analysis, statistical modelling and the development of analytical solutions.
• Experience using programming and analytical tools such as SQL, Python or R.
• Demonstrable experience designing, developing and evaluating models, translating outputs into actionable business insights.
• Understanding of model performance monitoring, data quality and analytical governance.
• Strong stakeholder engagement and communication skills, with the ability to influence decision-making at different levels.
• Experience leading complex analytical projects and delivering high-quality results within a business environment.
• A collaborative leadership style, with experience or a strong interest in coaching, mentoring and developing colleagues.
• A proactive and innovative approach to problem-solving, research and continuous improvement.
• An inquisitive and creative mindset, with the ability to adapt to changing business requirements and complex challenges.
• The ability to balance technical delivery with stakeholder management and the development of team capability.

Benefits and working arrangements available alongside the Pricing Data Scientist position include

• Hybrid working arrangements, with up to 80% of working time spent remotely.
• The opportunity to work on a significant business transformation programme.
• Exposure to a broad range of pricing activities across personal and commercial insurance products.
• Opportunities to develop technical expertise across the full pricing lifecycle.
• The opportunity to influence strategic business decisions through advanced modelling and analytics.
• Opportunities to coach and mentor colleagues and contribute to the development of the wider pricing function.
• An inclusive working environment that values diversity, collaboration and continuous learning.
• Support for reasonable adjustments throughout the recruitment process.

Synonyms: Pricing Analyst, Pricing Modelling Specialist, Data Scientist, Statistical Modeller, Pricing Consultant, Senior Data Scientist, Actuarial Data Scientist, Predictive Modelling Specialist.

This is an excellent opportunity for an experienced data science or modelling professional to join an established financial services organisation, contribute to a significant transformation programme and help shape the future of its pricing capabilities.