exposure in the fields of Biostatistics and Data Science. Our Biostatistics department contributes throughout drug development and supply, supporting scientists and clinicians in the areas of medicine discovery, design and … analysis of clinical trials, as well as non-clinical activities ensuring the quality and safety of products delivered to patients. We do this by providing statistical advice on the experimentaldesignof studies or clinical trial design (e.g. sample size, randomisation scheme etc.), performing statistical analysis and interpretation of results, providing quantitative support to translational … Innovation Hub (SDS-IH), a methodologically focused, solution-oriented functional group within GSK's Biostatistics department. Key Placement Learnings Work in close consultation with professional statisticians to advise on experimentaldesignof studies or clinical trial design (e.g. sample size, randomisation scheme). Collaborate with cross-functional teams to translate scientific or clinical problems into More ❯
or completed Masters and/or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimentaldesign, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. #INDUKBIO Job Types: Full-time More ❯
or completed Masters and/or PhD is preferred but not required * Fluency in English (native or bilingual level) * Detail-oriented * Proficient in biology and inductive/deductive reasoning, experimentaldesign, data interpretation, and systems-level thinking. Note: Payment is made via PayPal. We will never ask for any money from you. #INDUKBIO Job Types: Full-time More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimentaldesign, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯
london (city of london), south east england, united kingdom Hybrid / WFH Options
Intellect Group
it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimentaldesign, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯
it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimentaldesign, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯
london, south east england, united kingdom Hybrid / WFH Options
Intellect Group
it’s predicting customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real … world problems Carrying out full data science workflows: from data acquisition and cleaning to modelling, validation, and deployment Applying statistical and AI techniques to generate actionable insights Contributing to experimental research, model prototyping, and A/B testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable … unable to offer visa sponsorship for this role) Desirable (Not Essential): Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch) Exposure to cloud platforms (AWS, GCP, or Azure) Experience with experimentaldesign, research methods, or academic publishing Understanding of MLOps, version control (Git), or containerisation (e.g. Docker) Benefits: 💰 Competitive Salary & Bonus : £40,000 – £45,000 plus bonus 🏡 Hybrid More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Tenth Revolution Group
routes, reduce churn, and enhance customer satisfaction. Work across cloud platforms (Azure, AWS, GCP) to ingest, transform, and analyse large-scale datasets. Collaborate with cross-functional teams to designexperiments and deliver actionable insights. Contribute to AI-driven initiatives, such as chatbots or recommendation engines. Communicate findings clearly to stakeholders and influence strategic decisions. What We're Looking More ❯
rooted throughout our work, to elevate and bring to life our differences throughout the platform world Overview We are seeking a Technical Lead Data Scientist to lead the design and delivery of advanced analytics and machine learning solutions that power our data-driven products and decision-making processes. Whilst this role will be hands-on in nature and … initiatives with business and product strategy Architect and deliver end-to-end ML pipelines (from data acquisition to model deployment) in collaboration with data engineering and MLOps teams Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation Guide the technical direction for statistical modeling, NLP, computer vision, and LLM … in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs Strong statistical foundation, including A/B testing, causal inference, and experimentaldesign Proficiency in SQL and working with large-scale, cloud-based datasets Deep understanding of MLOps principles and integrating ML solutions into production environments Demonstrated ability to More ❯
London, South East, England, United Kingdom Hybrid / WFH Options
Harnham - Data & Analytics Recruitment
and data storytelling to identify opportunities, improve customer experiences, and drive measurable impact. Key Responsibilities: Analyse user behaviour to uncover insights, identify pain points, and influence product direction. Designexperiments and support a culture of testing, learning, and iteration. Define and align key business metrics, ensuring consistency and accuracy across teams. Build and maintain dashboards and tools to More ❯
functionally with product, engineering, and operations teams, driving initiatives that balance the supply of high-quality participants with the demands of researchers. You'll have significant autonomy to design, build, and deploy models, develop measurement frameworks, and influence decisions that directly impact our platform's capabilities and business strategy. What you'll be doing Develop and own the … drive the strategy for participant engagement and retention. Synthesize complex analyses of our platform's dynamics into actionable insights, presenting compelling data-driven narratives to influence strategic decisions. Design and analyze large-scale experiments to test hypotheses about participant behavior and marketplace mechanics. Partner with data engineers to enhance data pipelines and logging systems, creating a robust foundation … modeling and analyzing complex systems, such as two-sided marketplaces, economic platforms, or supply/demand dynamics. A strong background in building measurement systems and analytical frameworks, particularly using experimentaldesign and advanced causal inference methods. Experience with or interest in working with human behavioral data, annotation/labeling systems, or projects involving human feedback for AI More ❯
functionally with product, engineering, and operations teams, driving initiatives that balance the supply of high-quality participants with the demands of researchers. You'll have significant autonomy to design, build, and deploy models, develop measurement frameworks, and influence decisions that directly impact our platform's capabilities and business strategy. What you'll be doing Develop and own the … drive the strategy for participant engagement and retention. Synthesize complex analyses of our platform's dynamics into actionable insights, presenting compelling data-driven narratives to influence strategic decisions. Design and analyze large-scale experiments to test hypotheses about participant behavior and marketplace mechanics. Partner with data engineers to enhance data pipelines and logging systems, creating a robust foundation … modeling and analyzing complex systems, such as two-sided marketplaces, economic platforms, or supply/demand dynamics. A strong background in building measurement systems and analytical frameworks, particularly using experimentaldesign and advanced causal inference methods. Experience with or interest in working with human behavioral data, annotation/labeling systems, or projects involving human feedback for AI More ❯
dynamic dashboards. This role is perfect for someone who's hands-on, detail-oriented, and an independent data problem solver looking for a role with varied scope. Responsibilities Design, develop, and maintain reports and data outputs that enable presentation of key business metrics Write advanced SQL queries to analyze large datasets and identify patterns, trends, and anomalies Use … Python for more advanced analytics, automation, and data processing tasks Work with BigQuery to build scalable analytical workflows in a cloud-based environment Understand and design output for cross-functional teams to define KPIs, designexperiments, and uncover actionable insights Deliver clear, concise insights and recommendations to stakeholders using data visualizations and presentations Support data quality More ❯
