• We are seeking Data Scientists to support the implementation of Health Assessment Outcomes and AI Personalisation Projects. These initiatives are part of a multi-year programme aimed at delivering measurable impact through advanced clinical statistical techniques and innovative AI solutions.
• The successful candidates will evaluate and quantify the impact of Health Assessments on customer health and wellbeing, while deepening the understanding of customer profiles, health determinants, and personalised healthcare solutions.
• We are looking for individuals with applied experience in data science within a healthcare or clinical setting, who can also act as subject matter experts by collaborating closely with clinicians, operational teams, and business managers.

• Ensure the accuracy, relevance, and robustness of clinical outcomes data through rigorous validation methodologies.
• Identify, define, and track supplementary metrics to enhance outcomes analysis.
• Collaborate with stakeholders to agree on analytical assumptions and clearly articulate limitations.
• Lead the development of research protocols, outlining objectives, scope, and methodological frameworks.
• Conduct in-depth analysis using appropriate statistical and computational techniques.
• Contribute to a comprehensive white paper in collaboration with academic partners.
• Evaluate and tailor clinical risk models to align with datasets and clinical objectives.
• Map input variables to model requirements, ensuring semantic and structural consistency.
• Conduct validation and performance testing, including clinical utility assessments.
• Collaborate with clinical experts to review model assumptions and implications for patient care.
• Prepare documentation for clinical governance bodies to ensure compliance with ethical and regulatory standards.
• Integrate validated clinical risk models into AI personalisation algorithms.
• Design and execute pilot studies using real-world patient cohorts.
• Collaborate with clinical leadership to review pilot outcomes and refine approaches.
• Define clinical rules and inclusion/exclusion criteria to guide model application.
• Enhance AI-driven personalisation by integrating updated clinical risk insights.

• Applied experience in Data Science within a healthcare or clinical setting.
• Expertise in medical statistics, epidemiology, and population health.
• Proficiency in study design, statistical modelling (e.g., survival analysis, regression techniques), and longitudinal data analysis.

• Proficiency in R and Power BI.
• Understanding of clinical genomics analysis, including interpretation of genomic variants.
• Clinical or life sciences background.
• Understanding of machine learning infrastructure and architecture.
• Inquisitive mindset with a drive to explore healthcare data and uncover insights.

• Experience translating analytical findings into actionable insights for clinical decision-making and programme evaluation.
• Hands-on experience with Python and SQL in cloud environments such as Snowflake, Azure, or GCP.
• Excellent communication skills, capable of presenting complex concepts to non-technical stakeholders.
• Experience delivering end-to-end AI and GenAI projects, including business case development and deployment.
• Experience working in agile environments, preferably using Azure DevOps tools.
• Experience in health economics and economic evaluation methods.

• Collaborative working environment – we stand shoulder to shoulder with our clients and our peers through good times and challenges 
• We empower all passionate technology loving professionals by allowing them to expand their skills and take part in inspiring projects 
• Expleo Academy - enables you to acquire and develop the right skills by delivering a suite of accredited training courses 
• Competitive company benefits
• Always working as one team, our people are not afraid to think big and challenge the status quo

• As a Disability Confident Committed Employer we have committed to:
• Ensure our recruitment process is inclusive and accessible
• Communicating and promoting vacancies
• Offering an interview to disabled people who meet the minimum criteria for the job
• Anticipating and providing reasonable adjustments as required
• Supporting any existing employee who acquires a disability or long term health condition, enabling them to stay in work at least one activity that will make a difference for disabled people

“We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation or age”. 

We treat everyone fairly and equitably across the organisation, including providing any additional support and adjustments needed for everyone to thrive

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