At Health Partners, we pride ourselves on being one of the UK's leading providers of occupational health and wellbeing solutions. We partner with organisations across diverse industries, helping them to support the physical and mental health of their employees.
Role Outline
We are looking for a highly skilled and motivated Data Scientist to join our growing team. The ideal candidate will have a strong background in developing data pipelines, utilising advanced machine learning frameworks, and employing large language models (LLMs) to optimise business processes. This role demands a mix of technical expertise, analytical acumen, and a passion for applying data science to real-world problems.
Responsibilities
- Data Pipeline Development: Design, develop, and maintain robust ETL (Extract, Transform, Load) processes to ensure efficient flow and integrity of data across various systems.
- Machine Learning Model Development: Implement, train, and fine‑tune machine learning models using frameworks such as scikit‑learn, TensorFlow, PyTorch, with a focus on large language models (LLMs) for process optimisation and efficiency improvements.
- Data Analysis & Interpretation: Analyse large, complex datasets containing structured and unstructured data to identify trends, patterns, and actionable insights that support business objectives.
- Collaboration: Collaborate with engineering, product, and business teams to understand data needs and translate them into scalable data solutions.
- Data Visualisation: Create and maintain dashboards and visualisations using tools like Tableau, Power BI, or Matplotlib to communicate insights effectively to both technical and non‑technical stakeholders.
- Tool and Platform Utilisation: Leverage cloud platforms like AWS, Google Cloud, or Azure, and tools like Databricks for big data processing and model deployment.
- Automation: Develop and implement scripts and algorithms to automate repetitive tasks and enhance data processing workflows.
- Continuous Improvement: Stay current with the latest industry trends, tools, and techniques in data science and machine learning, and apply them to ongoing projects.
- Data Governance: Ensure adherence to best practices in data quality, security, and governance, maintaining high standards across all data‑related activities.
- Documentation: Thoroughly document processes, methodologies, and code to facilitate knowledge sharing and ensure reproducibility.
Qualifications
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Proven experience in a data science role with a track record of developing data pipelines and implementing machine learning models.
- Strong experience with machine learning frameworks, including scikit‑learn, TensorFlow, and PyTorch.
- Extensive experience with cloud platforms, specifically Microsoft Azure, and tools like Azure Machine Learning, Azure Databricks, and Azure Kubernetes Service.
- Proficiency in Python.
- Experience with data processing frameworks such as Apache Spark or Hadoop.
- Strong knowledge of SQL and experience with relational and NoSQL databases.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) and their data services.
- Experience with data visualisation tools like Tableau, Power BI, or matplotlib.
- Understanding of MLOps practices for model deployment and monitoring.
- Familiarity with DevOps practices and version control systems like Git and CI/CD pipelines.
Hours & Location
This is a full‑time position, working 37.5 hours per week, 7.5 hours a day, Monday to Friday.
Location: Home‑based (UK only).
Remote Working Disclaimer
Please note we are only able to accept applications for those who reside in the UK for this remote vacancy. Working overseas is not permitted and all applicants must ensure they are able to legally work and reside in the UK during standard working hours. Any applications from individuals who are not able to meet these requirements will unfortunately not be considered.
Benefits
- Competitive annual salary dependent on qualifications and experience
- Contributory pension scheme up to 6%
- Life assurance
- Starting on 25 days annual leave plus bank holidays, increasing with length of service
- Have a day off for your Birthday (non‑contractual benefit)
- Discounted gym membership
- Health cashback plan
About Health Partners
Health Partners are committed to transforming the way health and wellbeing services are delivered in the UK. As one of the UK's leading providers of occupational health and wellbeing solutions, we work with organisations across a wide range of industries to support the physical and mental health of their employees. Our mission is simple: to empower people to lead healthier, happier, and more productive lives.
With a strong focus on innovation and excellence, Health Partners combines clinical expertise with a personal, compassionate approach. Our multidisciplinary team of healthcare professionals, including occupational health advisors, physicians, physiotherapists, and counsellors, delivers tailored, evidence‑based solutions designed to meet the unique needs of our clients and their workforce.
We pride ourselves on fostering long‑term partnerships built on trust, professionalism, and results. Whether it's through workplace health assessments, proactive wellbeing initiatives, or mental health support, Health Partners is dedicated to making a real difference.
At the heart of Health Partners is a culture of collaboration and continuous improvement. We believe in investing in our people and providing opportunities for growth, ensuring that our employees feel valued and inspired to deliver their best. By joining Health Partners, you'll become part of a dynamic team that's passionate about driving positive change in the workplace and beyond.
If you're ready to make a meaningful impact in the field of health and wellbeing, we'd love to hear from you. Together, we can build healthier futures.
Diversity & Inclusion Statement
Health Partners are a proud member of the Disability Confident employer scheme. We understand everyone has individual work and home life responsibilities and are happy to discuss flexible working arrangements for this role, should this be a requirement for you.
We aim to become one of the most inspiring companies to work for and to achieve this ambition, we need the best talent to come and work for us. We look for candidates with the right skills and values to join us and selection is based on a fair and equal process. We're proud to be committed to equal opportunities and welcome applications from all backgrounds.
Diversity and Inclusion forms an integral part of everything that we do, bringing together the best talent, helping people to realise their full potential by being yourself at work and delivering an outstanding service to everyone - regardless of difference.
