Data Science/Analyst

Harnham - Data and Analytics Recruitment; Greater London; Hybrid; GBP 50,000 - 60,000; Full time

Job summary

Harnham - Data and Analytics Recruitment is seeking a Data Scientist in Berkshire for a hybrid role, 3-4 days in the office, £50,000–£60,000 per year. The role focuses on building data foundations, improving quality, and delivering AI and predictive analytics to support operational and commercial decisions.

You will work in a small team, shaping data strategy, collaborating with stakeholders and contributing to a cloud-based platform while advancing analytics, ML and forecasting capabilities.

Qualifications

• Strong SQL and data modelling skills.
• Experience with data quality improvement and master data challenges.
• Experience building analytical, forecasting or ML models.
• Experience developing reporting dashboards in Power BI.
• Snowflake exposure is a plus.

Responsibilities

• Clean, reconcile and standardise data from multiple sources.
• Develop scalable data models for reporting, analytics and ML initiatives.
• Perform entity resolution and fuzzy matching to improve data accuracy.
• Build dashboards and reporting solutions for business stakeholders.
• Support AI-driven document processing and automation projects.
• Develop forecasting and predictive analytics to support planning.
• Work with complex datasets to identify trends, risks and opportunities.
• Contribute to a modern cloud-based data platform and data governance.

Skills

SQL

Data modelling

Data quality improvement

Forecasting models

Machine learning models

Stakeholder engagement

Communication skills

Education

STEM degree or quantitative background

Tools

Snowflake

Power BI

Job description

Data Scientist

Berkshire (Hybrid, 3-4 days per week) | £50,000 - £60,000

This is an exciting opportunity for a Data Scientist to join a growing organisation that is investing heavily in its data and analytics capabilities. You'll play a key role in building trusted data foundations, improving data quality, and delivering AI and predictive analytics solutions that support both operational and commercial decision-making.

The Company

This organisation is undergoing a significant data transformation, modernising its technology stack and centralising data within a cloud-based platform. With ambitious growth plans and substantial investment in analytics, they are looking to use data more effectively to drive performance, automate processes, and enable better business decisions.

Working in a small, collaborative team, you'll have the opportunity to influence the direction of the data function and work across a diverse range of projects spanning data engineering, analytics, machine learning and AI.

The Role

You will work closely with senior stakeholders to improve data quality, build robust analytical solutions, and help shape the organisation's data strategy.

Key responsibilities include:

• Cleaning, reconciling and standardising data from multiple source systems
• Developing scalable data models to support reporting, analytics and machine learning initiatives
• Performing entity resolution and fuzzy matching to improve data accuracy and consistency
• Building dashboards and reporting solutions for business stakeholders
• Supporting AI-driven document processing and automation projects
• Developing forecasting and predictive analytics solutions to support operational planning
• Working with complex datasets to identify trends, risks and opportunities
• Contributing to a modern cloud-based data platform and best-practice data governance processes

Your Skills & Experience

• Strong commercial experience with SQL and data modelling
• Experience working with complex, fragmented or low-quality datasets
• Knowledge of data quality improvement, reconciliation and master data challenges
• Experience building analytical, forecasting or machine learning models
• Exposure to Snowflake would be highly beneficial
• Experience developing reporting and dashboards in Power BI
• Strong stakeholder engagement and communication skills
• STEM degree or other highly quantitative academic background

What They Offer

• £50,000 - £60,000 salary
• Hybrid working arrangement with 3-4 days per week in the office
• Opportunity to work on AI, machine learning and predictive analytics projects
• Exposure to modern cloud technologies and data platforms
• Significant scope to shape the data function and influence technical direction
• Strong career development opportunities within a growing business