451 to 475 of 513 Data Scientist Jobs in the UK

so that we're able to interact and collaborate in person. In Technology, we're asking that you attend the office a minimum of 1 day per week. Our Data Environment Our Data teams are excited about the value of data within the business, powers our product decisions to improve things for our customers and enhance effective … what their primary tech stack may be. Hear from the team in our latest blogs or our case studies with Women in Tech . We are looking for talented data professionals at all levels to join the team. We value people being engaged and caring about customers, caring about the code they write and the contribution they make to … part of a team that builds, evaluates and deploys machine learning models to improve and automate decision making Collaborate with technical and non-technical teams to understand problems, explore data, and develop effective fraud prevention tools and solutions Design and maintain robust feature engineering pipelines for modelling, working closely with analytics engineering teams Contribute to the development of end More ❯

building, want to work with pace at a mission-oriented startup, and will collaborate with us in shaping the culture of a rapidly growing team. The role As a Data Scientist at Modo Energy, you will join an established team that loves to use their knowledge and expertise to build novel, industry-leading models and analyses. We follow … our core principles to produce tools used by organizations across the energy transition to finance, build, benchmark, and operate battery energy storage systems. This role sits within our data science team, building trustworthy revenue projections across multiple geographies. For more info, here's our hiring video: Open here! Responsibilities: Sourcing, processing, analyzing, and interpreting large & complex datasets within our … R, C++, Java) and with the scientific computing stack (Numpy, Pandas, SciPy, ScikitLearn, etc.). Strong quantitative skills and a proven track record of solving complex technical problems using data analysis, machine learning, and optimization techniques. Hands-on experience with cloud environments (e.g., AWS) for deploying data science models. Proven experience with optimisation using linear programming with a More ❯

Senior Delivery Consultant - Data Scientist AI/ML, AWS Professional Services Job ID: AWS EMEA SARL (Spain Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions … in ML solutions design, architecture and development and deployment of large scale machine learning or deep learning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in prompt engineering, deploying and hosting Large Foundational Models - Strong communication skills in English and Spanish with the ability … success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. More ❯

Our Experian Software Solution's Analytics Services Team supports analytic and generative AI products for decisioning, analytics, and fraud and identity globally. As a Lead Data Scientist, you will use your coding expertise (Python, SAS), model risk management and Gen AI knowledge and experience, and analytic consulting skills to lead client and internal engagements for Experian's new … global product launch and early client success efforts. Responsibilities: Collaborate with Engineering and Data Science teams in the design and implementation of Machine Learning, Dashboarding, Ad Hoc Analysis and AI applications in a cloud-native big data platform. Partner with Leaders, Analytic Consultants, Engineers, Account Executives, Product Managers, and external partners to bring new innovative solutions to market … regulatory requirements. Stay informed about regulatory changes, technological advancements, and model risk management processes and controls to ensure the technology stack meets all compliance requirements. Research and integrate new data assets from different sources into Experian's ML and AI platform. Develop and assess analytic tools developed internally and externally. Gather feedback from internal and external clients to guide More ❯

For more information, contact Mieke Van Tonder at . This is an exciting opportunity for someone passionate about technology, data, and machine learning, eager to contribute to a collaborative environment. The Data Scientist will build and deploy machine learning models to support personalization, recommendations, anomaly detection, and data insights. The role involves working with modern ML … such as monitoring, continuous integration, and automated retraining. Utilize AI-assisted development tools like Cursor and Copilot to improve productivity. Collaborate with engineers, DevOps, and leadership to ensure robust data pipelines and translate business needs into technical solutions. Requirements At least 3 years of experience in applied machine learning and deploying production models. Proficiency in Python, SQL, and frameworks … scikit-learn. Experience with AWS services and Databricks; understanding of ML Ops is highly beneficial. Ability to adapt quickly to new tools and deliver scalable solutions independently. Familiarity with data pipelines involving Kafka, Debezium, S3, Lambda, and Delta Lake is a plus. Note: Some irrelevant content and personal opinions were removed for clarity and focus. This job posting is More ❯

Senior Data Scientist - Credit Risk Modelling £60-85,000 (dependent on experience) London THE COMPANY This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning More ❯

Senior Data Scientist - Credit Risk Modelling £60-85,000 (dependent on experience)London THE COMPANY This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning More ❯

Senior Data Scientist - Credit Risk Modelling £60-85,000 (dependent on experience) London THE COMPANY This successful and ambitious lending business are going from strength to strength. They are a dynamic and fast-paced lender and are seeking a driven and experienced individual to join their team in building out their predictive models using cutting-edge Machine Learning More ❯

create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As a Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional … that extract meaningful metrics of brain function and autoregulation, improve signal quality through advanced denoising and demixing techniques, and validate signal fidelity in real-world use. Responsibilities: Conduct exploratory data analysis on complex time-series datasets generated from clinical trials, internal studies, and external research databases Develop, prototype, and apply signal processing and machine learning models to interpret physiological … signals such as cerebral blood flow, cerebral autoregulation Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways Produce More ❯

over the world, Mozillians design, build and distribute open-source software that enables people to enjoy the internet on their terms. About this team and role: As a Staff Data Scientist supporting Global Operations, you will be a strategic partner in improving Mozilla's operational efficiency, effectiveness, and scale. You are a hands-on builder who brings a … across the organization. Drive root cause analysis and opportunity sizing to surface the highest-value areas for investment or process improvement. What you'll bring: BS or MS in Data Science, Statistics, Computer Science, or a related field 5+ years of experience in data science or analytics, with demonstrated work on operations-focused projects. Hands-on experience with … Safety (T&S), or Ad Ops; ability to understand metrics like handle time, task pacing, or SLA completion without needing deep onboarding. Strong proficiency in SQL, and experience building data pipelines and dashboards using tools like Looker. Proficiency in Python or R for modeling, prototyping, and automation. Experience with metric standardization, KPI frameworks, and experimentation in operational settings. Ability More ❯

create cutting-edge technologies that will improve how we diagnose and treat brain disorders, ultimately improving and saving the lives of patients across the world. The Role: As a Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, machine learning, and signal processing. Your focus will be on analysing multidimensional … signals to derive actionable insights that inform product development and clinical decision-making. You will also work closely with the Translational Optics team on designing and running in-vivo data acquisition experiments. Please note that this role requires 4 days per week in the office. Responsibilities: Conduct exploratory data analysis on complex time-series datasets generated from clinical … systems and methods Design and validate algorithms for denoising, signal demixing, classification, and interpretation of neuromonitoring data. Collaborate with domain experts to translate clinical and physiological requirements into robust data analysis workflows. Write high-quality, well-tested Python code that meets industry standards for medical-grade software and supports FDA regulatory pathways. Produce clear and insightful white papers, documentation More ❯

policy enables all full-time employees to work up to 2 days a week from home as work permits. POSITION SUMMARY Infleqtion is recruiting a passionate and detail-driven Data Scientist to join our team, focusing on time series modelling and control systems. You'll be developing predictive algorithms, identifying dynamic patterns and anomalies, and building models that … help automate decision-making in real-time systems involving quantum sensors. This is a high-impact role bridging data science, physics and engineering disciplines. JOB RESPONSIBILITIES The duties and responsibilities outlined below include essential functions of the role. Depending on business needs, this role may perform a combination of some or all of the following duties. Design and implement … teams to integrate predictive models into live quantum sensors. Evaluate performance of deployed models and develop tools/pipelines to continuously refine them. Analyse large-scale sensor and telemetry data from quantum sensor systems Effectively manage technical priorities, meet deadlines, and deliver on project objectives. Masters degree in a STEM field (maths, science, engineering etc.) or equivalent Strong programming More ❯

That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career. About the team Our Data Science team partners deeply with teams across Stripe to ensure that our users, our products, and our business have the models, data products, and insights needed to make … decisions and grow responsibly. We're looking for data scientists with a passion for analyzing data, building machine learning and statistical models, and running experiments to drive impact. Our work is broad and varied, influencing how our products work (e.g. understanding user needs, preventing fraud, or optimizing charge flows), how our business works (forecasting key outcomes, managing liquidity … how our go-to-market motions operate (designing growth experiments, optimizing marketing investments, refining sales processes, and estimating causal effects), and everything in between. We have a variety of Data Science roles and teams across Stripe and will seek to align you to the most relevant team based on your background. What you'll do We're looking for More ❯

Get started with your online application Not quite your dream role? Sign up to get notified when the right vacancy comes along. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform … teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes … a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a More ❯

Build the future of Conversational AI with ConnexAI As a Data Scientist on the Automatic Speech Recognition (ASR) team, you will be at the heart of building the voice models that power real-time AI systems used by millions globally daily. You’ll design, train, and refine cutting-edge ASR models that turn speech into actionable insights, helping … preferably) or NeMo toolkits. Experiment with new modelling approaches, neural architectures, and training techniques to improve ASR accuracy and latency. Work with large-scale speech datasets, preparing and preprocessing data for training, validation, and testing. Collaborate closely with speech data engineers to ensure high-quality datasets and annotations are used effectively in model training. Support deployment pipelines and … Analytics, ASR, AI Voice, and AI Quality. We value growth, both for our products and our people. As we scale, there will be clear opportunities to progress into senior data science, leadership, or principal roles. Our high retention rate reflects our inclusive, supportive, and empowering environment. More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

Scientist – Loss Modelling (Physical Risk from Weather and Climate) London – Hybrid Up to £80,000 About the Role Our client is building global-scale models to assess the physical risks of climate change and is looking for a Scientist with expertise in applied statistics and physical loss modelling. This role is ideal for someone experienced in natural catastrophe … Key Responsibilities Develop loss models to quantify climate-related risks, with a focus on estimating asset vulnerabilities. Calibrate and validate models using a wide range of qualitative and quantitative data sources. Contribute to building a robust and adaptable loss modelling framework. Document methodologies and communicate scientific insights to stakeholders, clients, and at industry events and conferences. What We’re … Looking For Experience building and calibrating statistical/mathematical loss models, ideally across multiple perils. Proficiency with geospatial data (climate and Earth observation) and economic damage datasets. Strong programming skills in Python, R, or a similar language. Excellent communication skills, able to explain complex concepts to non-technical audiences. A self-starter who thrives in a fast-paced R More ❯

Description 9 Months Fixed Term Contract The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying key data points that indicate potential misuse of the Scheme. These are some of the primary issues that this role will help resolve. The role sits within the Data Science and Analytics team and will be primarily focused on using data to identify potential misuse of the Motability Scheme. The postholder will collaborate with key stakeholders within the business … to understand and agree requirements for data can be used to help the business make decisions on tackling this key issue. On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning More ❯

Description 9 Months Fixed Term Contract The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying key data points that indicate potential misuse of the Scheme. These are some of the primary issues that this role will help resolve. The role sits within the Data Science and Analytics team and will be primarily focused on using data to identify potential misuse of the Motability Scheme. The postholder will collaborate with key stakeholders within the business … to understand and agree requirements for data can be used to help the business make decisions on tackling this key issue. On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also work on turning More ❯

About The Role 9 Months Fixed Term Contract The Data Science role is responsible for using Data Science and modelling techniques to address critical questions for both the business and our customers. This includes understanding the challenges our customers face with regards to electric vehicle (EV) adoption, understanding how rising costs will impact customers' affordability thresholds and identifying … key data points that indicate potential misuse of the Scheme. These are some of the primary issues that this role will help resolve. The role sits within the Data Science and Analytics team and will be primarily focused on using data to identify potential misuse of the Motability Scheme. The postholder will collaborate with key stakeholders within … the business to understand and agree requirements for data can be used to help the business make decisions on tackling this key issue. On a day-to-day basis, the postholder will be tasked with using their technical skills to help the team deliver key pieces of analyses relating to understanding and predicting customer behaviour. They will also work More ❯

acumen as well as narrative-building are integral to the success of this role. Responsibilities Build, sustain and scale econometric models (MMM) for Disney Streaming Services with support from data engineering and data product teams Quantify Return on Ad Spend, determine optimal spend range across the portfolio, identify proposed efficiency caps by channel, set budget amounts and inform … design and execute experiments to move recommendations forward based on company goals (e.g., subscriber growth, LTV, etc ) Support long-term MMM (et.al.) automation, productionalization and scale with support from data engineering and product Build out front-end reporting and dashboarding in partnership with data product analysts and data engineers to communicate performance metrics across services, markets, channels … and subscriber types Basic Qualifications Bachelors degree in Data Science, Computer Science, Engineering, Mathematics, Econometrics, Statistics or related field 5+ years of experience in a marketing science/analytics role with understanding of measurement and optimization best practices Coursework or direct experience in applied econometric modeling, ideally in support of measure marketing efficiency and optimize spend, flighting and mix More ❯

and is now utilized by some of the most innovative companies worldwide. It is an area I find fascinating. While some aspects of NLP may seem straightforward to a Data Scientist, they can be quite complex and impressive to others trying to understand the capabilities of modern computers. I do not claim to be an NLP expert myself More ❯

You'll bring the expertise. We'll provide the platform to succeed. Ready? It's time to do your thing. Who you'll be working with: Liberty IT's Data Science group partners directly with business stakeholders and global data science teams to create solutions for large business problems. You will collaborate closely with experienced data scientists … focusing on advanced challenges such as entity resolution at scale and graph modelling with Neo4J to produce graphical representations of potential fraud rings. Our Data Scientists research and apply advanced techniques in Machine Learning, Natural Language Processing, Deep Learning, and Computer Vision to understand how we can utilise data across all components of insurance, for example in managing … risk, and build solutions that enable Liberty Mutual to achieve this. You will have opportunities to learn from and contribute alongside expert data scientists, and to coach and mentor emerging talent. Experience and skills we need: A third level qualification in Mathematics, Computer Science, Statistics or another quantitative field. A minimum of two years' postgraduate relevant Data Science More ❯