Data Scientist — Engineering Analytics & AI for Buildings

Hoare Lea; West of England, Greater London; Hybrid; GBP 60,000 - 95,000; Full time

Job summary

Hoare Lea is seeking a Data Analyst/Scientist or Senior Data Analyst/Scientist in Bristol or London to translate data into actionable insights for engineering services. You will work across the full lifecycle from stakeholder needs to delivering data-driven solutions with SQL, Python and ML techniques.

The role offers a flexible, hybrid working pattern, engaging with NHS, Oxford University and other high-profile clients, and opportunities to lead complex analytics projects for a

Qualifications

• Experience applying data and analysis to real-world business, engineering or operational problems.
• Strong analytical problem-solving skills with the ability to define analytical approaches from ambiguous questions.
• Ability to work on projects independently and own deliverables.
• Proficiency in Python for data manipulation, analysis, visualization and data science (Pandas, NumPy, Scikit-learn).
• Proficiency in SQL and understanding of software engineering best practices (version control, unit testing, code review).
• Strong experience with data visualization frameworks (PowerBI, Streamlit).
• Experience applying ML/AI, including generative AI, to real-world problems.
• Knowledge of statistical concepts and their application in data analysis.
• Clear communication to both technical and non-technical audiences.
• Understanding of data governance, privacy, responsible AI standards.
• Knowledge of the engineering industry and its challenges.
• Experience with TensorFlow or PyTorch.
• Knowledge of optimization methods (linear, integer, constraint) and tools (OR-Tools).
• Experience with MS Fabric or equivalent data warehousing solution.
• Experience in a cloud computing environment.
• Familiarity with containerisation and deployment technologies (Docker, CI/CD pipelines).

Responsibilities

• Understand stakeholder needs and translate ambiguous questions into well-defined analytical problems.
• Develop and implement data-driven solutions to solve business problems across the company.
• Use SQL, Python and other analytical tools to investigate datasets, identify trends, test hypotheses, and generate insights.
• Apply statistical techniques, forecasting methods, ML and AI approaches where valuable.
• Collaborate with product and software teams to turn analytics into reusable tools and data-driven products.
• Develop reproducible analytical code with version control, testing and peer reviews.
• Share approaches and best practices to raise analytical standards across the business.

Skills

Python

SQL

Statistics

ML/AI

Data visualization

Communication

Problem-solving

Independent work

Engineering familiarity

Generative AI

Cloud computing

Big data concepts

Tools

Docker

CI/CD

PowerBI

Streamlit

TensorFlow

PyTorch

MS Fabric / data warehousing

Job description

Hoare Lea is seeking a Data Analyst/Scientist or Senior Data Analyst/Scientist in Bristol or London to translate data into actionable insights for engineering services. You will work across the full lifecycle from stakeholder needs to delivering data-driven solutions with SQL, Python and ML techniques.

The role offers a flexible, hybrid working pattern, engaging with NHS, Oxford University and other high-profile clients, and opportunities to lead complex analytics projects for a