Hybrid Data Analyst & Scientist: AI, ML & Dashboards

Method Resourcing Ltd; West of England; Hybrid; GBP 55.000 - 75.000; Vollzeit

Zusammenfassung

Method Resourcing Ltd partners with a leading engineering consultancy to hire a Data Analyst/Scientist to join their expanding team. This role covers the full analytics lifecycle, from defining stakeholder questions to exploring data, selecting methods, and presenting actionable insights.

You’ll apply Python, SQL and data visualisation tools to build models and dashboards, collaborate with engineers and product teams, and share reproducible approaches across the business.

Qualifikationen

• Strong analytical thinking and ability to turn questions into analytical problems.
• Advanced Python skills for data manipulation, analysis, and data science tasks.
• Proficient in SQL with good software engineering practices (version control, testing, etc.).
• Experience with data visualization tools (Power BI, Streamlit).
• Experience applying ML/AI techniques to practical problems.

Aufgaben

• Partner with engineers and stakeholders to translate questions into analytical problems.
• Design and deliver data-driven solutions addressing business challenges.
• Use SQL, Python and analytical tools to explore data and produce actionable insights.
• Apply statistical, forecasting, ML and AI techniques where value is added.
• Collaborate with product and software teams to convert analyses into reusable tools and data products.
• Write reproducible, maintainable code with version control and testing.

Kenntnisse

Analytical thinking

Python

SQL

Data visualisation

Communication

Tools

Power BI

Streamlit

Pandas

NumPy

Scikit-learn

Jobbeschreibung

Method Resourcing Ltd partners with a leading engineering consultancy to hire a Data Analyst/Scientist to join their expanding team. This role covers the full analytics lifecycle, from defining stakeholder questions to exploring data, selecting methods, and presenting actionable insights.

You’ll apply Python, SQL and data visualisation tools to build models and dashboards, collaborate with engineers and product teams, and share reproducible approaches across the business.