Data Science/Analyst

Harnham - Data & Analytics Recruitment; City Of London; Hybrid; GBP 50.000 - 60.000; Vollzeit

Benefits dieser Stelle

Hybrid work

Salary £50k-£60k

Career growth

Zusammenfassung

Harnham - Data & Analytics Recruitment is seeking a Data Scientist in Berkshire on a hybrid basis, 3-4 days in the office. The role focuses on building trusted data foundations, improving data quality and delivering AI and predictive analytics to support decision-making.

You will work with senior stakeholders to develop scalable data models, perform data quality improvements and contribute to a cloud-based data platform, with strong career development in a growing analytics function.

Qualifikationen

• Strong SQL and data modelling experience.
• Experience with high-quality data and data reconciliation.
• Experience building forecasting or ML models.
• Exposure to Snowflake and Power BI is beneficial.
• Excellent stakeholder engagement and communication skills.
• STEM degree or quantitative background.

Aufgaben

• Clean, reconcile and standardise data from multiple sources.
• Develop scalable data models to support reporting, analytics and ML.
• Perform entity resolution and fuzzy matching to improve accuracy.
• Build dashboards and reporting solutions for business stakeholders.
• Support AI-driven document processing and automation.
• 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 governance.

Kenntnisse

SQL

Data Modeling

Data Quality

Forecasting / ML models

Stakeholder Engagement

Ausbildung

STEM degree

Tools

Snowflake

Power BI

Jobbeschreibung

Data ScientistBerkshire (Hybrid, 3-4 days per week) £50,000 - £60,000This 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