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 ❯
product development, applying complex statistical methods to a range of pharmaceutical market research data and utilizing rigorous testing methods. Statistical analysis/modelling of multiple data sources: research design (e.g. experiment/survey), data pre-processing with a data scientist mentality ("automate & re-use"). Small Language Models: be able to prepare and use data to build small … Segment complex (market research) data: normalize and ingest data into a range of platforms to aid the use of data by custom AI language models Work on the design and implementation of advanced statistical modeling and market research techniques , such as segmentation, demand assessment, choice-based modeling, statistical inference, and predictive modeling, contributing to the development of new … logistic regression) (essential) Choice/Allocation based models (essential) Decision/Regression based trees (essential) Key Driver analysis methods (essential) Multivariate analysis (essential) Machine learning/AI methods (essential) Experimentaldesign (desirable) Bayesian methods (desirable) Time series analytics (desirable) Text analytics (desirable) Data science best practices (e.g. version control, scripts & libraries, reproducibility) and structured data wrangling (desirable More ❯
MS with significant industry or research experience in the field • Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) • Ability to designexperiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals • Experience with big data and scalable model training and More ❯
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values … III , you will be a dedicated AI thought leader in Search Marketing, exploring emerging technologies, developing prototypes and building production-ready solutions that enhance marketing performance. You will design and deploy AI solutions, including autonomous and agent-based systems capable of executing marketing workflows and optimising spend. Working closely with Marketing, Engineering, Product and ML Science, you will … into production Execute A/B and multivariate tests, applying statistical methods such as t-tests, confidence intervals and distributions to ensure results are valid and repeatable, and improving experimentaldesign for marketing applications Apply generative AI, reinforcement learning and other ML techniques to improve operational efficiency and campaign outcomes through automation and scalability Implement monitoring, observability More ❯
reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data … generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications. Establish and disseminate technical … activities. Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes More ❯
reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data … generation and troubleshooting. Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders. Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications. Establish and disseminate technical … activities. Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS) Experience in protein chemistry (protein design, expression, purification) Demonstrated expertise in protein characterization (biochemical and/or functional) Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes 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 ❯
experience and solid understanding of machine learning and deep learning methodsExtensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas)Ability to designexperiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goalsExperience with big data and scalable model training and solid More ❯
of AI supported by new hardware and develop your skills in that area, we'd love to hear from you! Responsibilities and Duties Generate AI/ML ideas, designexperiments, implement them & evaluate results. Prepare, submit & present your work to AI conferences and workshops. Collaborate with researchers, silicon and software engineers at Graphcore to help define, build and 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 ❯
other members of the data and analytics community at Hiscox to deliver value through various analytics techniques, sharing advanced knowledge and driving the adoption of robust analytical capabilities. Design, implement and maintain robust technical frameworks for monitoring, evaluating and quantifying the commercial impact and efficiency of data science solutions, ensuring continuous value demonstration. Person Specification: To excel as … independent, high-quality research and exploratory data analysis, with the ability to develop and apply novel methodologies to solve ill-defined and challenging business problems. Proven ability to design, implement, and maintain robust technical frameworks for evaluating commercial impact. Proven ability to technically mentor data scientists, fostering best practices, elevating technical standards, and contributing to the overall technical … of Generative AI, Large Language Models (LLMs), and related areas such as Natural Language Processing (NLP) or Computer Vision, relevant to business solutions. Solid understanding of foundational statistics and experimental design. Familiarity with or experience on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and More ❯
and business teams - uncovering user behaviour, identifying opportunities, and driving strategy with actionable insights. You will: Leverage quantitative analysis and data storytelling to inform product decisions. Generate hypotheses, designexperiments, and champion a culture of continuous learning. Define and align key metrics across teams, ensuring data accuracy and consistency. Build and maintain self-serve data tools and dashboards More ❯
clients in conducting measurement-focused studies. 📋 Qualifications: Proficiency in data-driven analysis and reporting. Strong consultative skills and client management abilities. Effective persuasion skills and business acumen. 💼 Understanding ofexperimentaldesign and technical tools. Familiarity with measurement processes and analytical frameworks. Join our client in empowering businesses through data-driven insights! If you’re passionate about analytics More ❯
