Data Scientist

Data Scientist

Nationwide

Our multi-disciplinary software, product, and data team serves as a central hub of innovation and expertise, supporting projects across the company. We pride ourselves on fostering a collaborative environment where creativity and technical excellence lead the way to groundbreaking products and services.

We are currently searching for a Data Scientist to be located in one of our 14 UK offices.

About us

Hoare Lea is an award-winning engineering consultancy with a creative team of engineers, designers and technical specialists. We provide innovative solutions to complex engineering and design challenges for buildings.

Irrespective of the scale or complexity of a project, we provide a full range of MEP, environmental and sustainability services, bringing buildings to life and ensuring that they perform in operation as well as they look.

Hoare Lea has joined Tetra Tech’s High-Performance Buildings Group, a global alliance of MEP firms.

Why work for us?

You’ll collaborate with the industry’s best, working with a wide range of built-environment specialists.

You’ll be part of progressive and exciting projects, able to experience innovative schemes across all sectors.

You’ll advance your career, your way, thanks to our structured Career Paths framework.

The role

We are seeking a dynamic and skilled Mid-Level Data Scientist to join our Digital team. As an early entrant in this rapidly expanding area of our business, you will play a crucial role in leveraging data science and machine learning techniques to improve our engineering services and drive innovation across the company.

You will have the opportunity to engage in a variety of high-impact projects, working on challenging problems for some of the UK’s most notable organisations, including the NHS and Oxford University. Our team has recently worked on creating clustering models for sustainability benchmarks, building energy forecasting models, and developing building performance dashboards. Additionally, we have trained convolutional and graph neural networks for physical simulations and applied large language models (LLMs) to internal knowledge bases.

What we are looking for

• Develop and implement data-driven solutions to solve real-world business problems across the company.
• Conduct data exploration, visualisation and preprocessing using common data science libraries.
• Apply machine learning models and algorithms to derive insights and inform decision-making.
• Collaborate with the product and software engineering teams to integrate data science solutions into our engineering services.
• Ensure the reliability and scalability of data science solutions by adhering to software engineering best practices, including version control, unit testing, and code reviews.

Essential skills:

• 2+ years of experience applying data science and machine learning techniques to real-world business problems.
• Strong proficiency in Python programming and experience with main data science libraries (e.g., Pandas, NumPy, Scikit-learn).
• Solid understanding of software engineering best practices (version control, unit testing, code review, etc.).
• Experience with data visualisation frameworks (e.g., PowerBI, Streamlit).
• Proficient in data querying languages (e.g., SQL).
• Familiarity with statistical concepts and their application in data analysis.
• Solid communication skills, capable of effectively engaging with both technical and non-technical audiences.

Desirable skills:

• Knowledge of the engineering industry and its challenges.
• Experience with one of the major machine learning frameworks (TensorFlow or PyTorch).
• Experience working in a cloud computing environment.
• Familiarity with containerisation and deployment technologies (e.g., Docker, CI/CD pipelines).

Our benefits

To reward your hard work and commitment we offer both core and flexible benefits, a competitive salary and industry-leading training and development to support you throughout your career.

Core benefits

Private medical scheme

Life Assurance

Income protection

Electric Car salary sacrifice scheme

25 days annual leave, increasing to 30 with length of service

Contributory pension scheme

Employee Assistance Programme

Enhanced Paternity, Maternity & Shared Parental Leave

Season Ticket Loans

Professional membership subscription

Flexitime

Flexible benefits

• 9-day fortnight – the firm offers all employees the option to work a 9-day fortnight
• Hybrid Working – activity-based approach
• Employee stock purchase plan – a voluntary program which allows eligible employees to purchase Tetra Tech common stock at a 15% discount
• Holiday buy & sell up to 5 days
• Study Assistance
• Cycle to work scheme
• Employee Referral Scheme
• Sabbatical Leave
• Other flexible benefits include gym and retail discounts, travel & dental insurance and GAYE (Give as you Earn)
• Flexible working - We’re happy to discuss flexible working. There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage

How to apply

To apply simply complete a CV profile and submit your application, or for further information please contact [email protected]

Diversity, equity and inclusion

We are committed to being a place where underrepresented individuals and communities are not just included, but where marginalised knowledge and experience is valued, amplified, and harnessed. So, we strongly encourage applications from candidates of all backgrounds, including women, people of the Global Majority, LGBTQ+ individuals, disabled people, neurodivergent people, and those from all other underrepresented or marginalised groups. To learn more about our approach to diversity, equity and inclusion, see our DEI strategy.

Adjustments and accommodations

If there are adjustments or accommodations that we can put in place to ensure you can participate and give your best at any stage of the recruitment process (whether relating to disability, neurodivergence, or anything else) please let us know.

Flexible working

We are committed to enabling a healthy work-life balance for all employees. So, we welcome applications from candidates seeking flexible working arrangements to suit their particular needs and lifestyle, including part-time, term-time-only, and remote working.

Data privacy

We have updated our terms and conditions for candidates, click here to find out more.