Data Scientist responsible for data valorization and AI solutions at OLVEA. Join our team in driving digital transformation by developing impactful data - driven solutions.
About the role
- Senior Data Scientist contributing to the UK’s largest health research programme. Shaping innovative data products and collaborating with cross-functional teams to improve health outcomes.
Responsibilities
- Support stakeholders and research customers in framing analytical questions, structuring complex problems and defining their data requirements
- Bring a data-as-a-product mindset, with a focus on impact and outcomes for end users, ensuring that our research customers get maximum value out of our data products
- Enable us to deliver prototypes of new data products and features at pace, making sure that they are high quality, trustworthy and understandable, and meet data privacy requirements
- Channel customer feedback into the product roadmap and ensure that the right opportunities are flagged to the business development team
- Contributing to the design and development of high-quality data products that meet stakeholder and research customers’ needs (for example, dashboards and visualisations)
- Providing the data and information required to support conversations with stakeholders, for example regarding prototypes or beta releases
- Defining the data requirements for relevant data products and insights
- Using agile methods to iterate on data products and visualisations by writing tested and auditable code
- Contributing to the development of data pipelines, bringing a focus to the needs of end users and acting as a subject matter expert who influences your team
- Working with relevant internal experts to ensure that data products meet ethical, data privacy and regulatory requirements
Requirements
- Track record of applying data science methods across diverse problem domains within health and life sciences, such as clinical analytics, population health, or pharmaceutical research
- Experience in working a range of large-scale health datasets, for example electronic health records
- Strong foundation in data analysis and statistical methods relevant for population health management, ideally including risk stratification and population segmentation methods
- Familiar with common medical and health data coding systems and formats such as ICD-10, SNOMED-CT, Read
- Proficient in Python or R, SQL and version control
- Skilled in data visualisation and communicating insights clearly to non-technical audiences. Experience using BI tools (PowerBI, Looker, Omni) is desirable
- Ability to work in cross-functional teams, and a receptiveness to learning from feedback from others
- Strong consultancy skills, with the ability to engage stakeholders to understand their needs, clarify objectives, and shape analytical approaches
- Resilient and adaptable, bringing motivation to problem solve within an ambiguous or changing environment.
- Awareness of how public health systems operate at a national and local level
Benefits
- Competitive base salary from £70,000
- Generous Pension Scheme – We invest in your future with employer contributions of up to 12%
- 30 Days Holiday pro rata + Bank Holidays – Enjoy a generous holiday allowance with the flexibility to take bank holidays when it suits you
- Enhanced Parental Leave – Supporting you during life’s biggest moments
- Cycle to Work Scheme – Save 25-39% on a new bike and accessories through salary sacrifice
- Home & Tech Savings – Get up to 8% off on IKEA and Currys products, spreading the cost over 12 months through salary sacrifice
- £1,000 Employee Referral Bonus – Know someone amazing? Get rewarded for bringing them on board!
- Wellbeing Support – Access to Mental Health First Aiders, plus 24/7 online GP services and an Employee Assistance Programme for you and your family
- A Great Place to Work – We have a lovely Central London office in Holborn, and offer flexible and remote working arrangements
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