Data Scientist/Data Analyst

Harnham; Windsor; Hybrid; GBP 54,000 - 66,000; Full time

Benefits offered by this job

Hybrid working model

Exposure to cutting-edge AI/ML

Career progression opportunities

Job summary

Harnham in Windsor is seeking a Data Scientist to join a growing analytics function. The role blends data science, ML, and BI to deliver business value from data assets.

You will work on forecasting, model development, and AI initiatives, collaborating with senior stakeholders to implement scalable data solutions within a hybrid working model. The position offers strong growth in a data-driven environment.

Qualifications

• Strong commercial experience in data science, analytics, or related disciplines.
• Experience developing ML models and deploying analytical solutions into production.
• Strong knowledge of Python and statistical modelling techniques.
• Experience with Snowflake or similar cloud data warehouses.
• Understanding of data modelling including dimensional/star schemas.
• Experience with Power BI and data visualization best practices.
• Familiarity with CI/CD, version control, testing, and SDLC practices.
• Strong SQL and data manipulation skills.
• Knowledge of forecasting techniques and predictive analytics.
• Excellent communication with technical and non-technical stakeholders.

Responsibilities

• Design and deliver machine learning, forecasting, and data science solutions that drive measurable business outcomes.
• Develop and deploy ML models for classification, forecasting, identity resolution, and automation.
• Design scalable data models within a Snowflake data warehouse environment.
• Build analytical solutions and data products supporting reporting, applications, and AI initiatives.
• Create and maintain Power BI data models, dashboards, and reporting.
• Support production-ready data science solutions through Azure DevOps CI/CD processes.
• Monitor model performance, validate outputs, and ensure data quality and governance.
• Collaborate with stakeholders to translate requirements into technical solutions.
• Contribute to AI and automation initiatives, including LLM integration and AI-driven workflows.

Skills

Data science

Machine learning

Python

SQL

Forecasting

Data modelling

Stakeholder communication

Data governance

Statistics

Tools

Snowflake

Azure DevOps

Power BI

Job description

Data Scientist

Windsor (Hybrid, 3-4 days in office) | Up to £60,000

This is an exciting opportunity for a Data Scientist to join a growing organisation investing heavily in data, analytics, machine learning, and AI. You'll work on projects that have tangible business impact, helping to build advanced analytical solutions, automate processes, and shape the organisation's data science capability from an early stage.

The Company

They are a well-established organisation undergoing a significant data and digital transformation. With a strong focus on leveraging data to improve operational efficiency and support strategic decision-making, they are building modern analytics and AI capabilities across the business. The environment is collaborative, hands-on, and offers the opportunity to influence how data science is applied across multiple functions.

The Role

You will work closely with senior stakeholders to design and deliver machine learning, forecasting, and data science solutions that drive measurable business outcomes.

Key responsibilities include:

• Developing and deploying machine learning models for classification, forecasting, identity resolution, and business process automation.
• Designing and implementing scalable data models within a Snowflake data warehouse environment.
• Building analytical solutions and data products that support reporting, applications, and AI initiatives.
• Creating and maintaining Power BI data models, dashboards, and reporting solutions.
• Supporting the development of production-ready data science solutions through Azure DevOps CI/CD processes.
• Monitoring model performance, testing outputs, and ensuring high standards of data quality and governance.
• Collaborating with business stakeholders to understand requirements and translate them into technical solutions.
• Contributing to AI and automation initiatives, including the integration of large language models and AI-driven workflows.
• Supporting data governance, security, and compliance requirements across analytical projects.

Your Skills & Experience

• Strong commercial experience in data science, advanced analytics, or related disciplines.
• Experience developing machine learning models and deploying analytical solutions into production environments.
• Strong knowledge of Python and statistical modelling techniques.
• Experience working with Snowflake or similar cloud-based data warehouse technologies.
• Understanding of data modelling principles, including dimensional and star schema modelling.
• Experience with Power BI and data visualisation best practices.
• Familiarity with CI/CD processes, version control, testing, and software development lifecycle practices.
• Strong SQL and data manipulation skills.
• Knowledge of forecasting techniques and predictive analytics.
• Excellent communication skills with the ability to engage with technical and non-technical stakeholders.
• A proactive approach to problem-solving and delivering business value through data.

What They Offer

• Competitive salary and benefits package.
• Hybrid working model with a mix of office and remote working.
• Exposure to cutting-edge AI, machine learning, and analytics projects.
• The opportunity to work closely with senior leadership and influence data strategy.
• Clear opportunities for professional development and career progression.
• A collaborative environment where innovation and continuous improvement are encouraged.