Data Scientist or Senior Data Scientist

It's an exciting time to join our Digital team. Working alongside a range of specialist engineers and consultants, you will be joining a collaborative, knowledgeable, highly engaged team, and offer a supportive, flexible, and high-performing work culture. In a time where building and energy resilience is ever more important, we are driving forward innovation to make an impact with data and technology.

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 data science-led for managing estates in hospitals, building energy forecasting models, and harnessing data on building performance to create better designed buildings of the future.

In this key and varied role, you can expect to:

• Work with engineers, consultants, product teams and other stakeholders to understand their 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.

About You

To be successful in this role you’ll need:

Essential Skills

• 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.

Desirable Skills

• Knowledge of the engineering industry and its challenges.
• Experience with one of the major machine learning frameworks (TensorFlow or PyTorch).
• Knowledge of mathematical optimisation methods, such as linear, integer or constraint optimisation, and associated tools (e.g. OR-Tools).
• Experience with MS Fabric or equivalent data warehousing solution.
• Experience working in a cloud computing environment.
• Familiarity with containerisation and deployment technologies (e.g., Docker, CI/CD pipelines).

For candidates joining at Senior level, we would additionally expect you to lead more complex or ambiguous analytical projects, shape analytical approaches and overarching priorities, work independently with senior stakeholders, review and support the work of others, and help raise analytical standards across the team.

How To Apply

To apply simply complete a CV profile and submit your application, or for further information please contact aureliacherradi@hoarelea.com

If shortlisted, one of our recruitment team will be in touch to arrange an introductory call (about 30 minutes) to discuss the role and your experience in more detail. From there, successful candidates will be invited to attend a panel interview, either via Microsoft Teams or in person at one of our offices. We aim to provide feedback at each stage of the process.

Adjustments and accommodations

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

Data privacy

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

Recruitment agencies

We have a Preferred Supplier List of trusted partners who assist us when required. We do not acknowledge speculative CVs or unsolicited candidate introductions from agencies not on the list.