Data Scientist

Harnham - Data and Analytics Recruitment; Windsor; On-site; GBP 36,000 - 60,000; Full time

Job summary

Harnham - Data and Analytics Recruitment is seeking a Data Scientist to join their Berkshire data function. The role involves owning end-to-end analytics, developing ML models, and delivering AI-enabled insights that influence business decisions.

The candidate will work with Snowflake or similar cloud platforms, design scalable data pipelines, and create Power BI dashboards to communicate value to stakeholders. This is an on-site opportunity with room to shape data strategy.

Qualifications

• Strong commercial experience in Data Science, Advanced Analytics, or Data Engineering.
• Hands-on experience developing and deploying machine learning models.
• Experience working with modern cloud data platforms, ideally Snowflake or similar technologies.
• Strong understanding of data modelling and data warehousing principles.
• Experience building dashboards and reporting solutions using Power BI.
• Familiarity with software development lifecycle methodologies and CI/CD practices.
• Strong stakeholder management and communication skills.
• A proactive and solutions-focused approach to problem solving.

Responsibilities

• Develop, test, and deploy machine learning models to solve business challenges.
• Build and optimise data models to support analytics, reporting, and AI initiatives.
• Design and maintain scalable data pipelines, ensuring data quality and reliability.
• Deliver insightful Power BI dashboards and reporting solutions.
• Work closely with stakeholders to translate business requirements into data-driven solutions.
• Support the development of AI-powered applications and process automation initiatives.
• Contribute to best practices across data engineering, governance, testing, and deployment.
• Present findings and recommendations to both technical and non-technical audiences.

Skills

Data Science

Advanced Analytics

Data Engineering

Machine Learning

Power BI

Snowflake

Data Modelling

CI/CD

Stakeholder Management

Communication

Tools

Snowflake

Job description

Data Scientist

Berkshire | Up to £60,000

This is an excellent opportunity for a Data Scientist to join a growing data and analytics function where you'll have the chance to work across machine learning, AI, forecasting, and business-critical analytics projects. You'll take ownership of end-to-end solutions, influence key decision-making, and help shape the future of data within the organisation.

The Company

They are a well-established business investing heavily in data, analytics, and digital transformation. With an expanding data function and ambitious growth plans, they are focused on leveraging advanced analytics and AI to improve operational performance and drive strategic outcomes. The environment is collaborative, fast-paced, and offers genuine opportunities to make an impact.

The Role

• Develop, test, and deploy machine learning models to solve business challenges.
• Build and optimise data models to support analytics, reporting, and AI initiatives.
• Design and maintain scalable data pipelines, ensuring data quality and reliability.
• Deliver insightful Power BI dashboards and reporting solutions.
• Work closely with stakeholders to translate business requirements into data-driven solutions.
• Support the development of AI-powered applications and process automation initiatives.
• Contribute to best practices across data engineering, governance, testing, and deployment.
• Present findings and recommendations to both technical and non-technical audiences.

Your Skills & Experience

• Strong commercial experience in Data Science, Advanced Analytics, or Data Engineering.
• Hands-on experience developing and deploying machine learning models.
• Experience working with modern cloud data platforms, ideally Snowflake or similar technologies.
• Strong understanding of data modelling and data warehousing principles.
• Experience building dashboards and reporting solutions using Power BI.
• Familiarity with software development lifecycle methodologies and CI/CD practices.
• Strong stakeholder management and communication skills.
• A proactive and solutions-focused approach to problem solving.