3 of 3 Temporary Data Science Jobs in London

Data Engineer - London

Hiring Organisation
Reed
Location
City of London, London, England, United Kingdom
Employment Type
Temporary
Salary
Salary negotiable
Data Engineer Contract Duration: 4 months Location: Farringdon, London Job Type: Contract, Hybrid (3 days a week onsite) We are seeking a Data Engineer to our client's ambitious technology transformation. This role is crucial in implementing the end-to-end delivery of data strategies, working closely … with Data Analytics and Data Science teams to ensure best practices and standards are met. Day-to-day of the role: Source, map, and extract data from various business and cloud-based source systems. Design, develop, test, optimise, scale, and deploy stable, cost-effective data ...

Senior MMM Consultant

Hiring Organisation
Hays Specialist Recruitment Limited
Location
London, South East, England, United Kingdom
Employment Type
Temporary
Salary
£300 - £350 per day
/Marketing Effectiveness consultant to join their growing London team. Operating across major international markets, the organisation partners with major brands to deliver data-driven marketing effectiveness, customer analytics, and AI-powered decisioning. With strong values, a collaborative culture, and a reputation for innovation, this is an excellent opportunity … lead the delivery of end-to-end marketing effectiveness programmes for global clients across various sectors. Key responsibilities: Own full MMM project cycles - from data strategy and modelling to insights, activation, and client recommendations. Apply econometrics, regression, Bayesian methods, and machine learning to large, complex datasets. Produce dashboards, decisioning ...

Lead ML Engineer (SageMaker)

Hiring Organisation
Teksystems
Location
London, United Kingdom
Employment Type
Temporary
will work across the entire ML lifecycle, from feature engineering to deployment automation, ensuring the optimisation and explainability of inference processes. Collaborating closely with data scientists and product teams, your role will focus on enhancing MLOps practices, ensuring high standards of security, performance, and compliance. Responsibilities Build and maintain … scalable feature pipelines within data lakehouse architectures. Develop fallback feature flows and implement robust data quality checks. Develop ranking, scoring, and entity-similarity models for the matching platform. Use modern ML model frameworks such as PyTorch, TensorFlow, or XGBoost. Apply SHAP or similar techniques to generate interpretable model ...