What's the opportunity? The Research, Analytics & Data Science (RAD) team at Intercom uses data and insights to drive evidence-based decision-making. We're a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our … strategy, and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data, and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R … help Intercom make sense of our users, our products, and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You 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 More ❯
We're taking Render global so that more companies, from high-street banks to other fintechs, can offer affordable credit to their customers. The data science team, currently 8 members, focuses on pricing, classification of open banking data and credit decisioning. All data scientists actively contribute to … Develop, implement and maintain advanced AI and machine learning models to improve credit decisioning, risk and affordability assessments. Analyse large datasets of Open Banking data to extract insights on customer financial behaviour and affordability. Take ownership and collaborate with cross-functional teams to transform data insights into pioneering … solutions, addressing complex technical challenges that set new industry standards and drive product strategy and growth. Design and implement scalable data analytics infrastructure to support Abound's rapid growth. Contribute to the development and refinement of the Render technology platform. Mentor junior data scientists and support their professional More ❯
your results to the rest of the company. You will also be required to develop and run key stages of our bioinformatics pipelines, streamline data workflows and maintain accurate, up-to-date records in our ELN platform. Success in this role will require strong teamwork and communication skills, as … take ownership of areas for improvement. Role profile Curate and organise experimental datasets, ensuring they are properly structured and uploaded into the company’s data repositories Generate graphs, data visualisations, and summary reports to facilitate the interpretation of both experimental and in silico data. Execute and optimise bioinformatics … scripts for in silico developability assessments, antibody sequence clustering and viral/Ig phylogenetics Prepare antibody sequences, data tables, and supporting documents for patent submissions, publications and business development Provide general bioinformatics and data management support, troubleshooting technical challenges related to data processing and analysis Collaborate closely More ❯
your results to the rest of the company. You will also be required to develop and run key stages of our bioinformatics pipelines, streamline data workflows and maintain accurate, up-to-date records in our ELN platform. Success in this role will require strong teamwork and communication skills, as … take ownership of areas for improvement. Role profile Curate and organise experimental datasets, ensuring they are properly structured and uploaded into the company’s data repositories Generate graphs, data visualisations, and summary reports to facilitate the interpretation of both experimental and in silico data. Execute and optimise bioinformatics … scripts for in silico developability assessments, antibody sequence clustering and viral/Ig phylogenetics Prepare antibody sequences, data tables, and supporting documents for patent submissions, publications and business development Provide general bioinformatics and data management support, troubleshooting technical challenges related to data processing and analysis Collaborate closely More ❯
a team that is going to revolutionise how counter terrorism police operate in the UK? Counter Terrorism Policing (CTP) is establishing a brand-new Data Science Unit, based in Manchester, which will play a key role in supporting the national effort to disrupt the terrorist threat and keep people … safe. The team are recruiting for a variety of roles, including the position of Data Scientist. Role This role represents an exciting opportunity for the successful candidate to get in on the ground floor and help shape a new department, which will deliver a range of pioneering services to … the counter terrorism policing network and key partners, including: Delivering advanced data analytics support to operational teams, corporate leaders and partner agencies. This will regularly involve working alongside intelligence analysts and digital experts nationally. Working with operational partners, industry, and academia to produce dedicated products intended to address some More ❯
We're taking Render global so that more companies, from high-street banks to other fintechs, can offer affordable credit to their customers. The data science team, currently 8 members, focuses on pricing, classification of open banking data and credit decisioning. All data scientists actively contribute to … Develop, implement and maintain advanced AI and machine learning models to improve credit decisioning, risk and affordability assessments. Analyse large datasets of Open Banking data to extract insights on customer financial behaviour and affordability. Collaborate with cross-functional teams to transform data insights into pioneering solutions, addressing complex … technical challenges that set new industry standards and drive product strategy and growth. Design and implement scalable data analytics infrastructure to support Abound's rapid growth. Contribute to the development and refinement of the Render technology platform. Stay abreast of industry trends in AI, machine learning, and fintech to More ❯
fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community … Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch Experience building production-grade machine More ❯
fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation. Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains. Advise data teams on various data science topics such as architecture, tooling, and best practices. Present at conferences such as Data+AI Summit. Provide technical mentorship to the larger ML SME … Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI. Extensive hands-on industry data science experience, leveraging typical machine learning and data science tools including pandas, scikit-learn, and TensorFlow/PyTorch. Experience building production-grade machine More ❯
Manchester, Lancashire, United Kingdom Hybrid / WFH Options
UiPath
together, we're scaling that impact even further. Your mission To partner with customers across various sectors, leveraging the latest advancements in machine learning, data science, and AI to solve real-world commercial challenges. You'll play a key role in transforming how customers operate by applying cutting-edge … at UiPath Work directly with our customers, deploying, customizing and building AI products to transform their businesses Act as a core member of the data science team, shaping products and driving business growth through data-driven solutions. Engage with a wide range of stakeholders, from academic experts to … teams, handling diverse situations with independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights clearly and effectively to More ❯
About the Role: Grade Level (for internal use): 10 The Team: 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 … value for multiple stakeholders while conducting cutting-edge applied research in LLMs, Gen AI, and related areas. Responsibilities and Impact: Develop models, algorithms and data pipelines that leverage wealth of S&P Global data (structured and unstructured) to provide actionable insights to clients. Lead data science product … relevant techniques. Identify opportunities for innovation across the Market Intelligence division. Provide subject matter expertise to internal stakeholders, advice and guide on model and data suitability. What We're Looking For: 3+ years of professional experience in Advanced Analytics/Data Science/Machine Learning/Quant, including More ❯
We are looking for a junior or medior data science engineer to complement our data science team working with many of our industrial customers from various sectors, including (petro-) chemical, paper and pulp, automotive, metallurgy, telecom and food-and beverage. You will use various ML/AI/… data science libraries and work on a variety of applications. You will get to use various state of the art technologies including Elastic, Kafka, Kubernetes and Luigi. Finally, you will have the opportunity to look behind the scenes of many domains and data. What are your responsibilities? You will … for AI-based anomaly detection and predictive modelling. Apply and sometimes (co-)invent and implement AI/ML algorithms for processing various types of data (timeseries, tabular, etc.). Develop computer models and perform predictive and prescriptive analytics for various applications. Build Proof of Concepts in notebooks, integrate these More ❯
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep … heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas … learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and More ❯
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep … heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas … learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. You will apply these techniques and More ❯
dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. Joining our … learning and statistical techniques to business problems. You'll contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You'll have the opportunity to present results to a variety of internal stakeholders. What we expect from you Master … based ensembles, and the ability to implement them through libraries. Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source More ❯
work will translate into an impactful product in the hands of the consumer. In this customer focused and technically savvy role, you will deliver data science solutions for Next Generation Sequencing with a focus on DNA methylation. You will work in a multi-disciplinary team and will have the … prediction tool development. The Responsibilities: Build and optimize deep learning models for biological age determination and disease stratification based on large datasets of epigenetic data; Build ML/AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work with the data team to … into the prediction models to improve accuracy; Work with the engineering team to incorporate your models into valuable products; Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions); Manage multiple projects simultaneously and complete projects in a timely More ❯
work will translate into an impactful product in the hands of the consumer. In this customer focused and technically savvy role, you will deliver data science solutions for Next Generation Sequencing with a focus on DNA methylation. You will work in a multi-disciplinary team and will have the … prediction tool development. The Responsibilities: Build and optimize deep learning models for biological age determination and disease stratification based on large datasets of epigenetic data; Build ML/AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work with the data team to … into the prediction models to improve accuracy; Work with the engineering team to incorporate your models into valuable products; Work on the AWS infrastructure (data storage, analysis pipelines, compute nodes and AWS specific user/role/resource permissions); Manage multiple projects simultaneously and complete projects in a timely More ❯
of the future. If you're ready to do the most ambitious work of your career, join us. About the team The Global Revenue Data Science team provides Airwallex's Leadership with the data, tooling, and insights needed to amplify Airwallex's rapid growth. We partner across the … entire business, giving us an overarching view and opinion on what Airwallex should prioritize. Our expertise spans the full data stack, and we use it to tackle complex data problems that will shape the future of global fintech. The team is growing quickly, and currently based in the … US, China, and Singapore. What you'll do Responsibilities: Be the go-to data partner for the CEO and Regional Business Leads. Partner with Finance, Data Engineering, and Product to align metric definitions/dimensions and data sources across the business. Use causal inference methods to understand More ❯
Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. · Proficient in … Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and feature engineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. · Adept with software development methodologies, code … e.g., JIRA). · Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. · Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. · Excellent communication skills in English, with fluency in UNIX command line and familiarity with agile development More ❯
Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation to model building, evaluation, and visualization. · Proficient in … Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and feature engineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. · Adept with software development methodologies, code … e.g., JIRA). · Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. · Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. · Excellent communication skills in English, with fluency in UNIX command line and familiarity with agile development More ❯
Customer Data Scientists 📍 Manchester (Hybrid – 2 days in office) 💼 Full-Time | Permanent 💰 Up to £90,000 + benefits Join one of the world’s largest independent media and entertainment groups , home to iconic brands across audio, publishing, and digital. They’re now hiring Customer Data Scientists to help … customer behaviour, loyalty, and segmentation Analyse user journeys across digital and audio platforms to improve engagement Support optimisation of ad inventory and revenue through data-driven pricing models Work on growth areas like competitions and targeting, identifying who to engage—and why Partner closely with teams across product, marketing … or customer analytics Hands-on with A/B testing , experimentation, and uplift modelling Excellent problem-solving skills and the ability to turn complex data into clear insight Experience in media, gambling, or digital B2C industries is a plus Comfortable working cross-functionally and explaining your work to diverse More ❯
This is an exceptional job opportunity to work for a leading client in the heart of the City as a Jnr Data Scientist. You will be part of a global analytics team using a number of big data technologies to produce complex behavioural models, customer uptake product analysis … and new product innovation. Provide data-driven analysis via statistical, quantitative, machine learning, programmatic, and heuristic methods. Relate statistical and other analytical results to real-world problems and explain the results to non-technical clients and colleagues. Heavy use of SQL programming and statistical packages is required. Analyse, understand … existing and develop new analytics-related products and services. My clients are especially interested in hearing from gifted scientists who not only have exceptional data analysis and problem-solving abilities but also have what it takes to discern the hidden patterns and signals within the markets. Company: OPUS (Rec. More ❯
They have restructured to better leverage consumer insights and predictive analytics, driving personalized experiences at scale. To support this transformation, they are expanding their Data Science function to extract actionable insights from customer data and optimize experiences for business growth. Responsibilities Data Analysis: Use Dataiku and other … tools to clean, explore, and analyze customer data to uncover insights. Model Development: Build predictive models and machine learning algorithms to forecast customer behavior and personalize marketing strategies. CRM & Intelligence: Collaborate across teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements … years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able to present technical findings to non-technical stakeholders. Experience working with customer data or analytics to provide More ❯
london, south east england, United Kingdom Hybrid / WFH Options
Freshminds
They have restructured to better leverage consumer insights and predictive analytics, driving personalized experiences at scale. To support this transformation, they are expanding their Data Science function to extract actionable insights from customer data and optimize experiences for business growth. Responsibilities Data Analysis: Use Dataiku and other … tools to clean, explore, and analyze customer data to uncover insights. Model Development: Build predictive models and machine learning algorithms to forecast customer behavior and personalize marketing strategies. CRM & Intelligence: Collaborate across teams to enhance CRM strategies and generate actionable customer profiles to improve engagement and loyalty. Requirements … years of experience in data analysis, statistical modeling, and machine learning. Proficiency with Python, and preferably Dataiku or similar platforms; with strong skills in R, or SQL. Excellent communication skills, able to present technical findings to non-technical stakeholders. Experience working with customer data or analytics to provide More ❯
work will translate into an impactful product in the hands of the consumer. In this customer focused and technically savvy role, you will deliver data science solutions for Next Generation Sequencing with a focus on DNA methylation. You will work in a multi-disciplinary team and will have the … AI algorithms for diagnostics and prediction tool development. Responsibilities: Build and optimize ML models for biological age determination and disease stratification based on epigenetic data; Work with AI models to predict skin phenotypes from epigenetics and comprehensive metadata/clinical endpoints; Work on the AWS infrastructure (data storage … CI/CD and automated deployment; Experience in cloud computing (e.g. AWS/Azure/GCP); Familiarity in tools used in modern Illumina NGS data analysis; Experience in analysis of epigenetics data such as DNA methylation and variant analysis (GWAS) is also advantageous; Experience working in agile environments More ❯
