experience in translating complex business requirements into actionable analytical models that deliver insights Extensive experience in data science techniques including statistical modelling, machine learning algorithms, and AI. Comfortable with model development, validation, deployment, and performance monitoring. Advanced programming skills in Python or R and experience with SQL. Experience with data visualisation programs such as Power BI or Tableau More ❯
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 … 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 … 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 More ❯
clients. The role has been determined outside IR35 and will run for a minimum of 6-months. Technical Skills Machine Learning & Deep Learning Supervised/unsupervised/reinforcement learning Model selection, training, validation, and evaluation Deep learning architectures (CNNs, RNNs, Transformers) Data Science Statistical analysis, feature engineering, A/B testing Experiment design and hypothesis testing MLOps & Engineering More ❯
As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Hexegic
As data engineer, you will contribute to the development of a robust, validated and easily accessible data foundation instrumental in facilitating new analytical workflows and applications. About us Hexegic are a leading technical consultancy providing agile multi-disciplinary teams to More ❯
superb opportunity for an Information Manager to join our Aviation business working on multiple projects across the UK. The successful candidate will be responsible for: Validating the Project Information Model to ensure deliverables follow the agreed processes, that the data is to the defined levels in the BEP and is accurate. Accept/reject information exchanges. Enforce the project … you BSC Hons in a construction related degree Industry experience with Information Management/BIM on a variety of projects Software skills in 3D/2D modelling and data model management Professional qualification in a relative field to role (desirable) Line/Team management experience (desirable) Professional body working group membership (desirable) If your past experience doesn't match More ❯
