Data Scientist for Building Analytics & AI (Hybrid)

Hoare Lea; Slough; Hybrid; GBP 50,000 - 75,000; Full time

Benefits offered by this job

Private medical cover

EV salary sacrifice scheme

Stock options

25 days annual leave

Hybrid working

9-day fortnight

Job summary

Hoare Lea is seeking a Data Analyst/Scientist or Senior Data Analyst/Scientist in Bristol or London to join a central data hub supporting engineering projects across the company.

You will apply data, analytics, and machine learning to generate insights, inform decision-making, and improve engineering services, with opportunities to build dashboards, models, and client-ready insights/tools.

Qualifications

• Experience applying data and analysis to real-world business, engineering or operational problems.
• Strong analytical problem-solving skills, with the ability to take an initially ambiguous question and determine an appropriate analytical approach.
• Ability to work on projects independently and own deliverables.
• Strong proficiency in Python for data manipulation, analysis, visualisation and data science (e.g., Pandas, NumPy, Scikit-learn).
• Proficiency in data querying languages (e.g., SQL). Solid understanding of software engineering best practices (version control, unit testing, code review, etc.).
• Strong experience with data visualisation frameworks (e.g., PowerBI, Streamlit).
• Experience applying machine learning and AI, including generative AI, to real-world problems where it provides clear benefit.
• Familiarity with statistical concepts and their application in data analysis.
• Solid communication skills, capable of effectively engaging with and presenting findings to both technical and non-technical audiences.
• Understanding of data governance, privacy, responsible AI and other relevant standards.

Responsibilities

• Understand stakeholder needs and translate sometimes ambiguous questions into well-defined analytical problems.
• Develop and implement data-driven solutions to solve real-world business problems across the company.
• Use SQL, Python and other analytical tools to investigate datasets, identify trends and relationships, test hypotheses and generate actionable insights.
• Apply appropriate statistical techniques, forecasting methods, ML and AI approaches where they add value to the problem being solved.
• Collaborate with the product and software engineering teams to turn analytical work into reusable tools, workflows and data-driven products where appropriate.
• Develop reproducible and maintainable analytical code, following best practices, including version control, testing, and peer reviews.
• Contribute to the development of analytical and data science capability across the business by sharing approaches, reusable methods and good practice

Skills

Data analysis

Analytical problem solving

Independent work

Python

SQL

Data visualization

ML/AI experience

Statistics concepts

Communication skills

Data governance & privacy

Tools

PowerBI

Streamlit

TensorFlow

PyTorch

Job description

Hoare Lea is seeking a Data Analyst/Scientist or Senior Data Analyst/Scientist in Bristol or London to join a central data hub supporting engineering projects across the company.

You will apply data, analytics, and machine learning to generate insights, inform decision-making, and improve engineering services, with opportunities to build dashboards, models, and client-ready insights/tools.