201 to 225 of 239 Senior Data Scientist Jobs

Lead Data Scientist Up to £100,000 London (Remote/Hybrid) Company: This is a pre-seed startup on a mission to rethink how content gets made. The media landscape is more competitive than ever, and the old ways of creating and testing content just don’t cut it anymore. They’re using data and AI to … shape stories that actually land with under-served audiences. Responsibilities: Work closely with the founder to translate visionary ideas into practical, data-driven experiments and models. Analyse audience behaviour data and build AI-driven tools (like synthetic test groups) to predict content success. Collaborate with product, creative, and tech teams to embed data insights into content creation … and decision-making. Identify data gaps and design tracking or instrumentation strategies to improve analytics capabilities. Stay hands-on with modelling and analysis while providing realistic guidance to keep projects focused and achievable. Requirements: MSc or PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Strong coding skills in Python and SQL Strong communication skills, with More ❯

Be the Data-Driven Heart of Our Transformation At Pets at Home, were more than a retailer were a pet care powerhouse, spanning retail, veterinary, grooming and subscription services. As we transform our business through data, were looking for a Principal Data Scientist to lead the charge. This is your opportunity to work across every area … of our business, applying cutting-edge data science to real-world challenges from personalising pet care to optimising operations and shaping strategic decisions. The role offers hybrid working from our Support Office in Handforth, Cheshire. What youll be doing: Turning data into clear, actionable insights that help shape big decisions across the business Telling compelling stories with data that inspire action Working closely with teams across tech and the business to bring data science solutions to life Spotting opportunities to improve how we use data, especially in our loyalty programme Sharing your knowledge and mentoring others in the team Driving innovation through new tools, techniques and academic partnerships Making sure our models run smoothly and More ❯

Contract Role: Data Science Technical Lead Location: Remote (UK-based) - You must be based in the UK. Duration: 15 Months Clearance/Industry Experience: Defence sector exposure preferred Day Rate: Competitive (Inside IR35) Lithium3 are looking for a Data Science Technical Lead to take ownership of end-to-end technical delivery for high-impact data science use … based contract running for 15 months , offering the opportunity to lead innovation in statistical modelling, machine learning, and production optimisation. You would be the DS Tech Lead within the Data Product Team (Data Engineers, Data Architects etc) and will be supported by another Data Scientist. Tasks are a mixture of enhancing existing models and also taking … projects such as: Predictive modelling for production line faults Statistical process control in manufacturing environments What You’ll Be Doing: Leading the technical design, build, and deployment of robust data science solutions. Ensuring high standards of scalability, maintainability, and security across all projects. Collaborating with cross-functional teams including engineers, analysts, and business stakeholders. Mentoring data scientists and More ❯

LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical lead, or … implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists, fostering a collaborative and innovative work environment. Stay ahead of industry trends and emerging data technologies, bringing … fresh perspectives and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering More ❯

LEAD DATA SCIENTIST - Insurance HYBRID - London £80,000 - £100,000 We are working with a household name in the UK insurance space on the search for a Lead Data Scientist. They are looking for someone to help spearhead their Machine Learning Initiatives. In this role, you will have the opportunity to be either a technical lead, or … implementation of ML/AI models Develop and deploy Large Language Models (LLMs) and/or internal chatbot systems. Collaborate with cross-functional teams to identify opportunities for leveraging data-driven insights. Mentor and develop a team of data scientists, fostering a collaborative and innovative work environment. Stay ahead of industry trends and emerging data technologies, bringing … fresh perspectives and solutions to the organization. REQUIREMENTS: 4+ years in data science, with a strong preference for experience in the insurance or financial services sector. Experience working with LLMs and NLP frameworks such as Hugging Face or OpenAI is a strong advantage. Proven experience managing and mentoring a team of data professionals, with a commitment to fostering More ❯

Be the Data-Driven Heart of Our Transformation At Pets at Home, we're more than a retailer - we're a pet care powerhouse, spanning retail, veterinary, grooming and subscription services. As we transform our business through data, we're looking for a Principal Data Scientist to lead the charge. This is your opportunity to work … across every area of our business, applying cutting-edge data science to real-world challenges - from personalising pet care to optimising operations and shaping strategic decisions. The role offers hybrid working from our Support Office in Handforth, Cheshire. What you'll be doing: Turning data into clear, actionable insights that help shape big decisions across the business Telling … compelling stories with data that inspire action Working closely with teams across tech and the business to bring data science solutions to life Spotting opportunities to improve how we use data, especially in our loyalty programme Sharing your knowledge and mentoring others in the team Driving innovation through new tools, techniques and academic partnerships Making sure our More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

Lead Data Scientist Up to £90,000 London (Remote/Hybrid) Company: Join a global financial platform offering fast, secure, and affordable money transfers, multi-currency wallets, and essential banking services worldwide, all within one app. You’ll be responsible for designing, building, and optimising credit and risk scoring models that drive key financial decisions across global markets. … Responsibilities: Lead the development and maintenance of credit risk and affordability models using bureau, open banking, and alternative behavioural data. Own end-to-end model lifecycle: data sourcing, feature engineering, model development, validation, and monitoring. Design and execute champion/challenger tests and A/B experiments to continuously improve approval rates, loss rates, and customer experience Analyse credit … performance data to generate actionable insight and support strategic decisions Mentor and develop a small team of analysts/data scientists as the team scales Work closely with Data Engineering to deploy models into production pipelines. Collaborate with stakeholders to define modelling goals and interpret model outcomes in a business context. Requirements: MSc or PhD Degree in More ❯

seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Your role in the team Data, Discovery, and Decision Science (D3) is the research and analytics organization at Allstate. In D3, you'll be surrounded by 360+ tenacious and intellectually curious colleagues in an inclusive … our customers. We are partnering to incorporate analytics into every aspect of the enterprise. We are avid about learning new ways to get the most value from our massive data resources and leading-edge technology. We are committed to building an inclusive and diverse team where everyone has an equal opportunity to succeed. We strive to hire people from … different backgrounds so that we can better serve our diverse customer needs. This role is responsible for leading the use of data to make decisions. This includes: the development and execution of new machine learning predictive modeling algorithms, the coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating More ❯

We use deep convolutional neural networks to distinguish human faces from spoof attacks. Our customers are major players in the smartphone, automotive and other industries. As part of our Data Science Team, you will design, train, evaluate and deploy deep convolutional neural networks for spoof detection in face authentication systems. Furthermore, you will conduct research on cutting edge deep … learning architectures and training paradigms as well as develop new algorithms to advance the solution. You will strategize data acquisition campaigns and conduct exploratory data analysis to train models that meet product requirements. In addition, you will perform hyperparameter tuning, neural architecture search and quantization to optimize models for inference on embedded systems. Last but not least, you … Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state More ❯

We use deep convolutional neural networks to distinguish human faces from spoof attacks. Our customers are major players in the smartphone, automotive and other industries. As part of our Data Science Team, you will design, train, evaluate and deploy deep convolutional neural networks for spoof detection in face authentication systems. Furthermore, you will conduct research on cutting edge deep … learning architectures and training paradigms as well as develop new algorithms to advance the solution. You will strategize data acquisition campaigns and conduct exploratory data analysis to train models that meet product requirements. In addition, you will perform hyperparameter tuning, neural architecture search and quantization to optimize models for inference on embedded systems. Last but not least, you … Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state More ❯

We use deep convolutional neural networks to distinguish human faces from spoof attacks. Our customers are major players in the smartphone, automotive and other industries. As part of our Data Science Team, you will design, train, evaluate and deploy deep convolutional neural networks for spoof detection in face authentication systems. Furthermore, you will conduct research on cutting edge deep … learning architectures and training paradigms as well as develop new algorithms to advance the solution. You will strategize data acquisition campaigns and conduct exploratory data analysis to train models that meet product requirements. In addition, you will perform hyperparameter tuning, neural architecture search and quantization to optimize models for inference on embedded systems. Last but not least, you … Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state More ❯

We use deep convolutional neural networks to distinguish human faces from spoof attacks. Our customers are major players in the smartphone, automotive and other industries. As part of our Data Science Team, you will design, train, evaluate and deploy deep convolutional neural networks for spoof detection in face authentication systems. Furthermore, you will conduct research on cutting edge deep … learning architectures and training paradigms as well as develop new algorithms to advance the solution. You will strategize data acquisition campaigns and conduct exploratory data analysis to train models that meet product requirements. In addition, you will perform hyperparameter tuning, neural architecture search and quantization to optimize models for inference on embedded systems. Last but not least, you … Computer Science (Computer Vision/ML specialization) or a related technical field at least 4 years of experience working on machine learning problems in a team, with real world data strong Python programming skills and extensive hands-on experience with TensorFlow/Keras or PyTorch experience with deep learning for image classification, segmentation and object detection and respective state More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

Principal Data Scientist Up to £150,000 London (Hybrid, 2-3 days onsite per week) Company: This private equity and investment start-up are focused on streamlining and improving performance by reimagining value creation capabilities. They are utilising cutting-edge AI to generate performance insights on each aspect of the investment lifecycle. Responsibilities: Build machine learning predictive models … a fast-paced, collaborative environment. How to Apply: Please register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Machine Learning, Data Science, start-up, Investment, Equity More ❯

The Capital IQ Solutions Data Science team supports the S&P Capital IQ Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in … and synthetic evaluation methods and metrics. Deploy NLP models while ensuring low latency, reliability, and scalability. Explore new methods for prompt engineering, model fine-tuning, optimization, document embeddings, and data chunking. Collaborate closely with product teams, business stakeholders, and engineers to ensure seamless integration of NLP models into production systems. Troubleshoot complex issues related to machine learning model development … and data pipelines, developing innovative solutions as needed. Actively research and identify the latest relevant methods and technologies in the field. What We're Looking For: Basic Required Qualifications: A degree in Computer Science, Mathematics, Statistics, Engineering or a related field. A solid understanding of Machine Learning and Deep Learning methods, along with their mathematical foundations. At least More ❯

pricing models, we build the driving intelligence that feeds them. Our mission is to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of … driving quality, context, and risk. About the Role As a Lead Data Scientist, you'll drive the technical direction of our behavioural modelling work. You'll lead the development of telematics features from idea to production, including exploratory analysis, signal design, risk evaluation, and scalable deployment. This is a hands-on leadership role where you'll design solutions … mentor other scientists, influence architecture across systems, and guide decision-making in uncertain or complex contexts. We're looking for an applied scientist - someone who thrives on getting things into production, values strong engineering, and has opinions on building reliable, scalable systems. What you will be doing Drive the development of telematics features from mobile sensor data, including More ❯

technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make … and more impact in their work. We'll provide the investment, support, and resources to advance your career. You'll provide the talent, ambition, and drive. As a Principal Data Scientist within our Network Pricing team, you will play a key role in analyzing and optimizing pricing strategies across our provider networks. By leveraging data insights and … will have the opportunity to split their monthly work hours between our Dublin office and telecommuting from a home-based office in a hybrid work model. Primary Responsibilities: Provide data-driven insights, critically analyze challenges and test hypotheses to inform key business decisions Engage with stakeholders at various levels to gather requirements, incorporate feedback, manage expectations, and ensure alignment More ❯

london Are you ready to transform the insurance industry? Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we've won over 1.5 million customers in Home, Motor and Pet insurance … have been ranked the UK's No.1-rated home insurer by Review Centre since 2013. We're at the start of an exciting transformation. With bold investment in pricing, data, and technology, we're building a new Retail Price Optimisation team to redefine how we make pricing decisions. By combining advanced analytics, machine learning, rich data, and modern … Optimisation team: We're seeking bright, ambitious individuals eager to make a meaningful impact and accelerate their growth. You'll be supported by experienced leaders in retail pricing and data science who are deeply committed to your development and success. As a lean, hands-on team, we offer a unique opportunity to take on responsibility early, drive real change More ❯

Explore & Innovate: Dive into exploratory data analysis (EDA) and uncover the secrets hidden in customer data. Spearhead strategic research of new cutting-edge machine learning models. Build & Optimize: Design solutions that align with the company's core mission by fine-tuning machine learning and GenAI models. Integrate & Deliver: Develop robust AI modules and ML pipelines that supercharge our backend More ❯

minute availability, it's never too late to make any day extraordinary.Viator. One app, 300,000+ travel experiences you'll remember. What You will do: Lead the development of Data Science within Product, producing statistical models that directly impact the insights and recommendations that drive the product and customer experience. Use your knowledge and experience to help scale the … impact of the Product Analytics team through data science. Creating automation, self service model capability, improve experimentation velocity, and drive efficiency. Architect and implement sophisticated statistical models (predictive, classification, clustering, etc.) to enhance product features like personalization and recommendations. Exploration of new tooling, product and approaches including Agentic AI and AI Agents, to identify opportunity areas, explore through POC … to then drive to adoption. Partner with Product Managers, Designers, and Engineers to identify high-impact opportunities where data science can solve customer problems and improve the product. Champion experimentation by designing and analyzing complex AB tests, causal inference models, and uplift modeling to inform product decisions. Guide and mentor other product analysts in best practices for experimentation, modeling More ❯