1142 Data Scientist jobs

The Chief Data & Analytics Office (CDAO) at JPMorgan Chase is responsible for accelerating the firm's data and analytics journey. This includes ensuring the quality, integrity, and security of the company's data, as well as leveraging this data to generate insights and drive decision-making. The CDAO is also responsible for developing and implementing solutions that support the firm's commercial goals by harnessing artificial intelligence and machine learning technologies to develop new products, improve productivity, and enhance risk management effectively and responsibly. As an AI Research Senior Associate in J.P. Morgan AI Research, you will work on novel techniques, tools, and frameworks to model and solve complex large-scale problems, collaborating with experts in various technical and business disciplines, contributing to high-impact business applications at the cutting edge of AI. Job responsibilities Work on multiple commerically-orientated research projects in collaboration with internal data scientists, applied engineering teams and business stakeholders Formulate problems, generate hypotheses, develop new algorithms and models, conduct experiments, synthesize results, gather data, build innovative solutions, and communicate research significance Contribute to high-impact business applications, open-source software, and patents Develop state-of-the art machine learning models to solve real-world problems at scale Required qualifications, capabilities, and skills PhD in Computer Science, Engineering, or related fields Programming skills in Python Proficient understanding of fundamental AI and ML techniques Practical experience with statistical data analysis and experimental design Curiosity, creativity, resourcefulness, and a collaborative spirit Effective verbal and written communication skills with technical and business audiences Demonstrated ability to work on multi-disciplinary teams with diverse backgrounds Interest in problems related to the financial services domain Preferred qualifications, capabilities, and skills Research publications in prominent AI/ML, Software Engineering venues (e.g., conferences, journals) Practical experience with ML platforms such as TensorFlow/Keras, PyTorch Comfort with rapid prototyping and disciplined software development processes Practical software engineering experience in collaborative project settings

Devitechs, located in the United Kingdom, is seeking a skilled data scientist to develop predictive models and analyze large datasets. The ideal candidate will excel in statistical methods and have a strong command of Python or R. Your responsibilities will include collaborating with teams to implement data-driven strategies and refining models for enhanced accuracy. A Bachelor's or Master's degree in a relevant field is essential along with excellent problem-solving abilities.

Analytics Engineer Cox Automotive Europe Data Solutions Hybrid - Manchester (2 days per week onsite) Permanent, Full-time About the Role Join Cox Automotive Europe's Data Solutions team , where data sits at the heart of everything we do-from powering our Decision Engine platform to delivering vehicle intelligence and commercial insights across the business. As an Analytics Engineer , you'll operate at the intersection of data engineering, analytics, and data science , helping turn complex data into robust, production-ready datasets and pipelines. You'll play a critical role in enabling faster decision-making, improving model performance, and driving innovation across multiple high-impact workstreams. What You'll Be Doing Build & Power Data Products Design and maintain scalable data pipelines supporting pricing, channel, and timing recommendation models Create reusable datasets and dbt models to accelerate analytics and product delivery Enable experimentation through A/B testing infrastructure and performance analysis Shape Vehicle Data Intelligence Develop enriched datasets across multiple European markets (e.g., France, Italy, Spain, Belgium) Integrate internal and third-party data sources (auction, RPI, and more) Support pricing, benchmarking, and valuation analytics capabilities Enable Data Science at Scale Collaborate with Data Scientists to productionise models and automate feature engineering Own the critical layer between raw data and model inputs Ensure data quality, lineage, and reproducibility across pipelines Drive Platform Excellence Work within a modern Databricks-based data platform Contribute to data governance, lineage, and documentation Partner with engineering and architecture teams on shared data initiatives What We're Looking For Essential Skills Strong SQL and Python experience Hands-on experience with modern data tooling (e.g., Databricks, dbt ) Proven ability to build and maintain data transformation pipelines Solid understanding of data modelling principles Ability to translate complex business problems into reliable data solutions Experience working in a commercial or product-driven data environment Strong communication skills-able to engage technical and non-technical stakeholders Nice to Have Experience with automotive, marketplace, or pricing data Exposure to machine learning workflows and feature engineering Familiarity with experimentation and A/B testing frameworks Knowledge of data governance, lineage, and cataloguing Experience with Agile tools (Jira, Rally, etc.) Why Join Us? Be part of a high-performing, 15-person Data Solutions team working across product, data science, and platform disciplines Work on high-visibility, strategic initiatives with real commercial impact Collaborate closely with senior stakeholders across product and data science Enjoy a culture of autonomy, curiosity, and technical excellence Your Impact This is a rare opportunity to shape the data foundations behind key strategic products . Your work will directly influence pricing decisions, product development, and the evolution of our data platform. Apply now to help us build the data capabilities driving the future of automotive intelligence.

Graduate Data EngineerJob detailsTeamEVIDENT INSIGHTS LTDFull-time Introduction Evident is an intelligence platform that benchmarks and tracks AI adoption across the financial services sector. Our mission is to accelerate the adoption of AI across the sector by creating the most complete, unbiased and transparent public benchmarks of AI capability.Since the launch of our flagship product in January 2023, the Evident AI Index has rapidly become the global standard benchmark for AI maturity in financial services. Why join us: We are index experts. Our Co-Founders Alexandra Mousavizadeh and Annabel Ayles have more than 30 years of experience building complex indices that drive positive change in the world We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools We've been backed by some of the world's leading tech investors, including the backers of Revolut and the tech commentator Scott Galloway We're working with some of the world's largest banks, helping them shape their AI strategies impacting millions of customersIf you are interested in advancing your career at a fast-growing, innovative and impact-driven company, you can read about Our Values and Our Commitment to Responsible AI. Our commitments to diversity and inclusion are set out at the end of this job description. The Role This role offers outstanding graduates and early-career candidates the opportunity to begin their career in data engineering within a fast-paced, entrepreneurial environment. You'll work primarily within our Data Engineering team, while also gaining exposure to Data Science and Data Analytics through cross-functional projects.You'll help build the infrastructure, pipelines and tooling that underpin Evident's research, benchmarks and client products. Over time, you'll develop hands-on experience working with large datasets, automation workflows and modern cloud tooling, while building a strong understanding of how data supports AI strategy at the world's largest financial institutions.You'll work closely with engineers, analysts and data scientists across the business, gaining exposure to the full lifecycle of data products - from collection and transformation through to analysis and delivery. Examples of the work you'll be across: Data Pipelines & Automation: You'll support the development and maintenance of data pipelines, automation workflows and ETL processes that power our products and internal operations. Web Scraping & Data Collection: You'll help collect structured and unstructured data from a variety of sources, including websites, APIs and internal datasets. Cloud Data Infrastructure: You'll gain experience working with modern cloud tooling and databases, helping maintain scalable and reliable data systems. Cross-Team Rotations: You'll have opportunities to work on projects with our Data Science and Data Analytics teams, gaining exposure to machine learning workflows, analytics projects and index production processes. Process Improvement & Internal Tooling: You'll contribute to internal tooling, documentation and process improvements that help the wider data team work more efficiently. Core Skills: 2026 STEM graduate or 0-2 years experience in data engineering, software engineering or a related technical role Experience programming in Python or another modern programming language Familiarity with SQL and working with datasets Strong problem-solving skills and attention to detail Eagerness to learn modern data engineering tooling and cloud technologies Comfortable working collaboratively in cross-functional teams Excellent written and verbal communication skills Proactive, with an eagerness to take ownership and learn quickly An interest in AI, data infrastructure and emerging technologies Please note: You must have indefinite Right to Work for the UK. Nice to have Experience with cloud platforms such as GCP, AWS or Azure Familiarity with GitHub or version control tools Experience with web scraping, APIs or automation projects Exposure to databases, ETL pipelines or orchestration tools Personal, academic or internship projects involving data engineering or software developmentIf you do not fulfil all requirements in the job description, we encourage you to submit your application nonetheless. Benefits Share options: we offer all employees share options over a 4 year vesting period Holidays: 28 days of holiday + public bank holidays Flexible working: 3-4 days per week in our Central London office, 1-2 days remote Learning & development budget: £1000/year Pension Private health insurance Our commitments to diversity and inclusion Evident is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating all forms of discrimination. Our aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best. During our recruitment process, you will not be discriminated against for any of the following reasons: race (including colour, nationality, ethnic and national origin), age, disability, gender reassignment, being married or in a civil partnership, being pregnant or on maternity leave, religion or belief, sex or sexual orientation. If you need us to make certain changes (known as reasonable adjustments) to make sure you are not disadvantaged during the recruitment process, you should contact us as soon as possible. We strive to create a working environment free of bullying, harassment, victimisation and discrimination, promote dignity and respect for all, and value and recognise individual differences and the contributions of all staff.

Overview MUFG - Mitsubishi UFJ Financial Group - seeks a Data Analytics Audit Manager (AVP) for the EMEA Internal Audit Office in London. The role focuses on transforming audit practices through advanced data analytics, automation and artificial intelligence. MUFG values inclusion, diversity and flexible working arrangements to support professional growth and well being. What you'll do Provide end to end delivery of data analytics engagements aligned with methodology and quality assurance standards. Collaborate with business audit teams to understand processes, risks and controls and develop analytics testing strategies that support internal audit conclusions. Design, implement, and execute analytics plans independently to assess key controls, validate issues, and facilitate continuous monitoring across audits. Manage collection, transformation and analysis of large datasets while ensuring data quality, integrity, security and governance throughout the audit lifecycle. Document analytics work accurately and timely according to established methodology and quality assurance standards. Act as a relationship manager for a portfolio of audits by coordinating with audit teams and stakeholders to translate findings into actionable insights. Drive the integration of automation and artificial intelligence into audit processes, using techniques such as generative AI, machine learning, process mining and self serve analytics tools. Support migration efforts towards cloud platforms by promoting adoption of new technologies among auditors, including Data Analytics Champions. Set clear expectations for junior colleagues and provide guidance to uphold high standards and support team development. Mentor junior team members and contribute to strategic initiatives aimed at continuous improvement of the Data Analytics function. Engage in broader MUFG initiatives that promote equity, inclusion and belonging and participate in activities that foster trust and flexible hybrid work. What you bring Significant hands on experience leading complex analytics projects within Financial Services or Internal Audit environments, including analytics testing across the full audit lifecycle. Proficiency with Python or similar programming languages for advanced data analysis, plus experience with data visualization tools (e.g., Tableau or Power BI). Strong project management skills enabling the handling of multiple priorities while delivering high quality outputs aligned with KPIs and QA standards. Experience managing analysts or peers, owning projects, providing technical leadership and reviewing junior colleagues' work to enhance team capability. Solid understanding of risk/control environments with ability to assess risks and develop observations supporting audit conclusions. Excellent communication skills, able to explain complex data concepts to technical and non technical audiences and build trust with stakeholders. Degree in Data Science, Computer Science, Artificial Intelligence, Machine Learning, Mathematics or equivalent, or a degree in Accounting/Finance/Business Administration/Risk Management with demonstrable data analytics experience. Preferred: experience developing advanced analytics solutions/workflows (e.g., Alteryx, AI/ML/LLM tools) and knowledge of cloud platforms (AWS, Azure, GCP, Snowflake) and automation/low code platforms (Power Platform). Experience contributing to analytics frameworks and best practices, familiarity with delivery tools (JIRA, Confluence) and relevant certifications (e.g., Google Data Analytics, IBM Data Analyst, Microsoft Azure Data Scientist, AWS Analytics, Tableau/Power BI certifications). What sets MUFG apart MUFG is a leading financial institution renowned for integrity, excellence, inclusion and diversity. The EMEA Internal Audit Office focuses on innovation through AI and automation, while offering flexible working arrangements and ongoing training opportunities to support personal and professional growth. What's next If you are ready to make a lasting impact within a collaborative team at a respected financial institution, apply now. MUFG supports flexible working requests in line with organisational requirements and is committed to equality, diversity and inclusion in recruitment and employment.

Description Our Data Engineers enable public sector organisations to embrace a data-driven approach by providing data platforms and services that are high-quality, cost-efficient, and tailored to the clients' needs. They develop, operate, and maintain these services. They make sure they provide maximum value to data consumers, including analysts, scientists, and business stakeholders. Key Responsibilities At Made Tech we want to positively impact the future of the country by using technology to improve society, for everyone. We want to empower the public sector to deliver and continuously improve digital services that are user-centric, data-driven and freed from legacy technology. A key component of this is developing modern data systems and platforms that drive informed decision-making for our clients. As a Data Engineer, you'll play a hands on role as a contributor to client projects, focusing on both delivering engineering work as well as upskilling members of the client team. As a member of the data capability within Made Tech, you will also participate in our hiring process and continued development of the team, as well as representing us both internally to the organisation and publicly via presentations. You'll need to have a drive to deliver outcomes for users and have a desire to mentor teams. You will need to be comfortable sharing your knowledge and skills with others. Maybe you've written some blog posts about your discipline, or perhaps even delivered a talk or two that you'd like to share. Skills, Knowledge & Expertise We look for the following skills and experience. But if you don't have some of the skills and experience listed below, don't let that stop you from applying! Working directly with clients and users Strong hands on Python experience Designing and implementing efficient data transformation processes at scale, in either batch or streaming use cases Contributing to the cloud infrastructure underpinning data systems through a DevOps approach Basic understanding of the possible architectures involved in modern data system design (e.g. warehouses, lakes, and meshes) Agile practices such as Scrum, XP, and/or Kanban Showcasing and presentation skills Evidence of self-development - we value keen learners Empathy and people skills Working at a technology consultancy Pair programming Working with data scientists to productionise advanced data deliverables, such as machine learning models Infrastructure-as-Code (e.g. Terraform, Cloud Formation) Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector At this point, we hope you're feeling excited about Made Tech and the job opportunity. Even if you don't feel that you meet every single requirement, we still encourage you to apply. Get in touch with our talent team if you'd like an informal chat about the role and your suitability before applying. We are hiring for this role directly, so will not respond to any CVs sent via external recruitment agencies. An increasing number of our customers are specifying a minimum of SC (security check) clearance in order to work on their projects. As a result, we're looking for all successful candidates for this role to have eligibility. Eligibility for SC requires 5 years' continuous UK residency and 5 year' employment history (or back to full time education). Please note that if at any point during the interview process it is apparent that you may not be eligible for SC, we won't be able to progress your application and we will contact you to let you know why. Support in applying If you need this job description in another format, or other support in applying, please email . We believe we can use tech to make public services better. We also believe this can happen best when our own team represents the society that actually uses the services we work on. We're collectively continuing to grow a culture that is happy, healthy, safe and inspiring for people of all backgrounds and experiences, so we encourage people from underrepresented groups to apply for roles with us. When you apply, we'll put you in touch with a talent partner who can help with any needs or adjustments we may need to make to help with your application. This includes alternative formats for documents, the time allotted for interviews and any other needs. We also welcome any feedback on how we can improve the experience for future candidates. Job Benefits We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice and neurodiversity (as well as our client work and best practice). Like many organisations, we use Slack to foster a sense of community and connection. As well as special interest groups such as music, food and pets, we also have 10+ Slack channels dedicated to specific communities, allies, and identities as well as dedicated learning spaces called communities of practice (COPs). If you'd like to speak to someone from one of these groups about their experience as an employee, please do let a member of the Made Tech talent team know. Benefits We are always listening to our growing teams and evolving the benefits available to our people. As we scale, as do our benefits and we are scaling quickly. We've recently introduced a flexible benefit platform which includes a Smart Tech scheme, Cycle to work scheme, and an individual benefits allowance which you can invest in a Health care cash plan or Pension plan. We're also big on connection and have an optional social and wellbeing calendar of events for all employees to join should they choose to. 30 days Holiday we offer 30 days of paid annual leave Flexible Parental Leave we offer flexible parental leave options Remote Working we offer part time remote working for all our staff Paid counselling we offer paid counselling as well as financial and legal advice. About Made Tech Made Tech is on a mission to use technology to improve society - for everyone. We help organisations transform, deliver and manage world class digital products and services. Today, you can see our services (and people!) in action, such as the design and build of the Homes for Ukraine service, delivered in 2 weeks. We're helping local authorities make it easier and quicker for people to log housing repairs online. By digitalising access to NHS services we're making it more accessible, such as children needing mental health support. All this great experience is enabling us to support new areas, like energy. We're helping to drive better environmental outcomes by improving network performance through real time asset monitoring, which means less wasted energy. We were recently named as a finalist in the Raising the Bar for Workplace Transparency Award in the Shift People Awards. This is a recognition of our many great initiatives, such as our open-access employee handbook that we launched 5 years ago.

慨正橡扯 is seeking a Data Science Specialist in Salford to lead data science initiatives and mentor a team of data scientists. This role involves developing custom data models and identifying high-impact opportunities across the organization. Candidates must have strong programming skills in Python and Scala, and experience with machine learning techniques. Benefits include a competitive salary, 10% on-target bonus, and extensive flexible benefits.

London Hybrid (2-3 Days in Office) Full-Time The Opportunity A growing and well-funded software organisation is seeking a Senior Data Engineer to help design, build and secure its modern data platform. The business delivers technology solutions that support public sector and regulated organisations in improving operational efficiency and compliance. Following significant investment and expansion, the company is focused on strengthening its data infrastructure and scaling advanced analytics capabilities. This is an opportunity to play a key role in shaping a scalable, secure and high-performing data environment, working closely with engineering, analytics and product teams. The Role You will design, implement and secure a modern cloud-based data platform (Databricks, pipelines and governance frameworks), ensuring that data is: Accurate Accessible Secure and compliant Cost-effective at scale This is a hands on engineering role with architectural input, suited to someone comfortable building platforms from the ground up in production environments handling large scale datasets. Key Responsibilities Architect and build end to end data pipelines, data lakes and warehouses on Databricks (Azure environment) Integrate ETL/ELT tools and cloud services to create scalable data workflows Establish standardised processes for: Data modelling Quality assurance Versioning Orchestration (e.g. dbt, Airflow, Unity Catalog) Security & Governance Implement security best practices including: Role based access control (RBAC) Data encryption and masking Compliance with GDPR and relevant standards Support governance frameworks ensuring integrity and compliance at scale Performance & Optimisation Optimise platform performance, cost efficiency and scalability Support real time and large scale data processing Automate monitoring, alerting and recovery processes Drive CI/CD adoption for data pipelines and infrastructure as code Work closely with data scientists, analysts and business stakeholders to define data requirements and SLAs Contribute to proof of concept reporting where required Translate business needs into robust technical solutions Experience & Technical Skills 5+ years' experience in data engineering At least 2 years operating in a senior or lead capacity Proven experience building data platforms from scratch in production environments Strong experience with Azure Databricks, Spark and Python Experience with MySQL, PostgreSQL and MSSQL Strong experience troubleshooting complex data issues and optimising queries Experience working in agile, fast paced tech or data driven environments Experience with dbt, Airflow or similar orchestration tools Experience building basic reports for proof of concept work Personal Attributes Security first mindset with strong ethical data handling principles Comfortable operating in ambiguity and owning end to end delivery Strong analytical and problem solving skills Collaborative team player with strong communication skills Eager to stay current with emerging data technologies Committed to continuous improvement What's on Offer Competitive market salary 25 days annual leave Additional "Moments in Time" days Life assurance (4x base salary) Additional leave linked to length of service Diversity & Inclusion The organisation is an equal opportunities employer and makes recruitment decisions based on skills, qualifications and experience. Applications are welcomed from all suitably qualified candidates. Please note that applicants must have the right to work in the UK. Send us an email or give us a call to discuss your recruitment needs

Responsibilities Design and develop machine learning solutions to address business challenges and improve decision making through intelligent automation. Analyze business requirements and identify suitable machine learning approaches for predictive analytics, classification, forecasting, and recommendation systems. Utilize AI and machine learning platforms, AutoML tools, and intelligent services to build scalable and efficient solutions. Collect, evaluate, and prepare datasets to ensure data quality, consistency, and suitability for machine learning applications. Collaborate with data scientists, software engineers, and business stakeholders to design and implement AI driven solutions. Evaluate model performance using key metrics, dashboards, and analytical tools to ensure accuracy, reliability, and effectiveness. Monitor deployed machine learning systems and recommend improvements, retraining strategies, and performance optimizations. Apply data preprocessing, feature selection, labeling, and augmentation techniques using modern machine learning tools and platforms. Support the deployment and integration of machine learning solutions across cloud based and enterprise environments. Develop intelligent workflows and automation processes that enhance productivity, operational efficiency, and business outcomes. Create and maintain comprehensive documentation of machine learning solutions, datasets, workflows, and deployment processes. Research and evaluate emerging machine learning technologies, tools, and industry best practices to support innovation initiatives. Ensure responsible and ethical use of artificial intelligence by promoting fairness, transparency, privacy, and bias mitigation practices. Translate complex machine learning concepts into clear business insights and recommendations for technical and non technical stakeholders. Collaborate with cross functional teams to continuously improve machine learning capabilities and deliver measurable business value.

Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI powered work orchestration platform. You'll be at the forefront of defining and implementing rigorous quality strategies for our enterprise grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You'll need proficiency in at least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high quality releases. Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams. Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post release quality validation. Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world class AI solutions. Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution. What you need 5+ years of hands on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed. A collaborative spirit that helps you Connect cross functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end to end quality of our products. Demonstrated ability to drive initiatives independently and thrive in a fast paced, evolving startup environment. Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options

Devitechs is seeking a skilled professional to implement and manage pipelines for deploying AI/ML models to production in the United Kingdom. The ideal candidate will optimize models for performance and work closely with data scientists and engineers to ensure seamless integration. Requirements include strong experience with Docker and Kubernetes, proficiency in Python, and familiarity with cloud platforms like AWS, Azure, or Google Cloud.

About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!

United Cerebral Palsy of Georgia is looking for a Data Scientist to shape data science pipelines and methodologies in Cambridge. This role involves building data platforms and establishing insightful processes from scientific data generated in a dynamic start-up environment. Applicants should have a Master's or PhD in a relevant field, with strong programming skills in Python and experience in data analysis. The role allows for hybrid working when projects permit.

Data Scientist - Modelling & Intelligence - London London Hybrid (3 days in the office, 2 days from home) 6 month Fixed Term Contract Salary to 69,000 pro rata experience dependent Ref: J13096 What if modelling actually sat at the centre of business decisions, not just reporting? We're working with a leading independent property consultancy, building out a new analytics capability, where modelling is becoming central to how the business operates. This isn't a reporting role. It's focused on exploring data and solving real problems. Recent work has included: Clustering complex datasets Modelling trends to support commercial decisions Understanding patterns and behaviours across large datasets You'll work closely with stakeholders to shape problems, build models and turn analysis into something people can actually use. Python is key, with a strong focus on modelling and thinking rather than tooling. We're looking for someone who is comfortable working with messy data, enjoys problem solving and can communicate clearly with non technical stakeholders. What you'll bring Strong Python and SQL Advanced modelling capability Experience working with complex datasets Strong communication and stakeholder engagement Experience working with spatial and non spatial data desirable Exposure to Azure or Databricks beneficial Degree in a quantitative field, MSc or higher beneficial It's an opportunity to join a team that is still taking shape, with real influence over how data is used going forward. Get in touch to learn more. Please note that applicants must have the right to work in the UK. Sponsorship is not available for this opportunity.

Devitechs in the United Kingdom is seeking a skilled professional to design and implement knowledge graph models to structure data effectively. This role involves collaborating with data scientists and engineers to enhance AI capabilities through optimized data structures. The ideal candidate will have experience with graph databases such as Neo4j and a strong background in machine learning and data integration techniques. A Bachelor's or Master's degree in a relevant field is required.

Senior Data & Machine Learning Engineer (MS Fabric focus) - Warrington (hybrid) We're working with a well established business that's investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform. This is a senior, hands on role where you'll take ownership of a Fabric centric data estate, lead technical decisions, and work closely with BI teams, data scientists and senior stakeholders. What's in it for you? Hybrid working from their Warrington office Salary up to £65K + 10% bonus 20 days annual leave + BH - increases with service Pension, Enhanced sick pay, Buy and sell holidays, Life assurance, Health & wellbeing benefits Employee Assistance Programme, Cycle to Work, Long service awards Work with modern tech including Microsoft Fabric, Azure AI and ML tooling Key skills Strong experience with Microsoft Fabric (Data Factory, Lakehouse, OneLake, Pipelines, SQL Warehouse) Solid data engineering background using SQL, Python, PySpark, Delta Lake experience building and optimising end to end data pipelines CI/CD experience for analytics and data platforms (Azure DevOps or GitHub) Exposure to AI/ML platforms such as Azure AI, Azure ML or Azure OpenAI Strong knowledge of Power BI and/or Qlik at enterprise scale Confident communicator, comfortable working with senior stakeholders Previous experience mentoring data engineers Day to day Owning and developing the organisation's Microsoft Fabric data platform Designing and building scalable, reliable data pipelines and architectures Leading the move from legacy and hybrid platforms to a modern Fabric setup Supporting BI teams with semantic models, datasets and performance optimisation Enabling ML and MLOps workflows, from feature engineering to deployment Working closely with data scientists, analysts, IT and the wider business Embedding data quality, governance and best practice standards Providing technical leadership and coaching to other engineers If this sounds like your next move, apply now or email. Please note this role cannot offer sponsorship and isn't suitable for those on graduate or short term visas. Company: Forward Role Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom

Graduate Data AnalystJob detailsTeamEVIDENT INSIGHTS LTDFull-time Introduction Evident is an intelligence platform that benchmarks and tracks AI adoption across the financial services sector.Our mission is to accelerate the adoption of AI across the sector by creating the most complete, unbiased and transparent public benchmarks of AI capability.Since the launch of our flagship product in January 2023, the Evident AI Index has rapidly become the global standard benchmark for AI maturity in financial services. Why join us: We are index experts. Our Co-Founders Alexandra Mousavizadeh and Annabel Ayles have more than 30 years of experience building complex indices that drive positive change in the world We are building a cutting edge research team that uses the latest techniques in machine learning to build faster and better data collection and analysis tools We've been backed by some of the world's leading tech investors, including the backers of Revolut and the tech commentator Scott Galloway We're working with some of the world's largest banks, helping them shape their AI strategies impacting millions of customersIf you are interested in advancing your career at a fast-growing, innovative and impact-driven company, you can read about Our Values and Our Commitment to Responsible AI. Our commitments to diversity and inclusion are set out at the end of this job description. The Role This role offers outstanding graduates and early-career candidates the opportunity to begin their career in data analytics within a fast-paced, entrepreneurial environment. You'll work primarily within our Data Analytics team, while also gaining exposure to Data Engineering and Data Science through cross-functional projects.You'll help produce and analyse the datasets that underpin Evident's benchmarks, research and client products. Over time, you'll build strong analytical and technical skills, while developing a deep understanding of how AI adoption is measured across the world's largest financial institutions.You'll work closely with analysts, data scientists and engineers across the business, helping translate complex datasets into actionable insights for both internal stakeholders and external clients. Examples of the work you'll be across: Index Production & Analysis: You'll support the production of the Evident AI Index and related datasets, helping ensure data quality and consistency across our research products. Dashboarding & Insights: You'll help create dashboards, analysis and visualisations that support business decision-making and client insights. Data Quality & Validation: You'll perform quality assurance checks on datasets and help improve internal data processes and documentation. Cross-Team Rotations: You'll have opportunities to work on projects with our Data Engineering and Data Science teams, gaining exposure to automation workflows, machine learning projects and data infrastructure. Stakeholder Collaboration: You'll work with teams across the business to understand data needs and help deliver analytical outputs that support research and commercial objectives. Core Skills: 2026 STEM graduate or 0-2 years experience in analytics, research or a data-related role Experience working with data using tools such as SQL, Python, Excel or Google Sheets Strong quantitative and analytical problem-solving skills Excellent attention to detail, particularly around data quality Comfortable communicating insights to both technical and non-technical audiences Proactive, with an eagerness to take ownership and learn quickly Excellent written and verbal communication skills Comfortable working collaboratively in cross-functional teams An interest in AI, data and emerging technologies Please note: You must have indefinite Right to Work for the UK. Nice to have Experience with data visualisation or BI tools such as Tableau, Looker Studio or Power BI Exposure to SQL, Python or cloud data platforms such as BigQuery Experience working on research, analytics or consulting projects An interest in financial services sectors such as banking or insurance Personal, academic or internship projects involving data analysis or visualisationIf you do not fulfil all requirements in the job description, we encourage you to submit your application nonetheless. Benefits Share options: we offer all employees share options over a 4 year vesting period Holidays: 28 days of holiday + public bank holidays Flexible working: 3-4 days per week in our Central London office, 1-2 days remote Learning & development budget: £1000/year Pension Private health insurance Our commitments to diversity and inclusion Evident is committed to encouraging equality, diversity and inclusion among our workforce, and eliminating all forms of discrimination. Our aim is for our workforce to be truly representative of all sections of society and our customers, and for each employee to feel respected and able to give their best. During our recruitment process, you will not be discriminated against for any of the following reasons: race (including colour, nationality, ethnic and national origin), age, disability, gender reassignment, being married or in a civil partnership, being pregnant or on maternity leave, religion or belief, sex or sexual orientation. If you need us to make certain changes (known as reasonable adjustments) to make sure you are not disadvantaged during the recruitment process, you should contact us as soon as possible. We strive to create a working environment free of bullying, harassment, victimisation and discrimination, promote dignity and respect for all, and value and recognise individual differences and the contributions of all staff.

Integratedcooling is seeking a Scientific Software Engineer to design and develop applications for scientific data interrogation at OBT. You will work closely with bioinformaticians and data scientists, primarily on-site at the Oxford Science Park. The ideal candidate has a strong background in software engineering, particularly with C#, .NET, JavaScript, and React. This hands-on role includes collaborating on innovative tools enabling scientists to gain insights from complex data.

Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI powered work orchestration platform. You'll be at the forefront of defining and implementing rigorous quality strategies for our enterprise grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You'll need proficiency in at least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high quality releases. Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams. Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post release quality validation. Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world class AI solutions. Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution. What you need 5+ years of hands on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed. A collaborative spirit that helps you Connect cross functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end to end quality of our products. Demonstrated ability to drive initiatives independently and thrive in a fast paced, evolving startup environment. Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options

Oxford Data Plan Ltd is seeking a Data Scientist to join their research team in Greater London, focusing on designing and operating data pipelines relevant to equity markets. The position involves statistical analysis, data engineering, and communicating findings clearly. Applicants should have strong Python skills, experience with data manipulation using pandas, and an analytical mindset. A degree in a quantitative field is preferred, and the role offers opportunities for learning and development in a dynamic team.

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master's or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Please apply (quoting ref: CV27639) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Relay is fundamentally reshaping how goods move in an online era. Backed by Europe's largest-ever logistics Series A ($35M), led by deep-tech investors Plural (whose portfolio spans fusion energy and space exploration), Relay is scaling faster than 99.98% of venture-backed startups. We're assembling the most talent-dense team the logistics industry has ever seen Relay's Mission is to free commerce from friction. Today, high delivery costs act as a hidden tax on e-commerce, quietly shaping what can be sold online and limiting who can participate. We envision a world where more goods move more freely between more people, making the online shopping experience seamless and accessible to everyone. THE TEAM 110 people, more than half in engineering, product and data 45+ advanced degrees across computer science, mathematics and operations research Thousands of data points captured, calculated, analysed and predicted for every single parcel we handle An intellectually vibrant culture of first principles thinking, tight feedback loops and relentless experimentation The Opportunity Relay's Hybrid Sort Centres are where parcels enter the network, get sorted into routes, and flow out to delivery. Sortation is operationally complex: warehouse operatives, intake scanners, supervisors, and robots all working together to process thousands of parcels daily. First Mile is how those parcels arrive - collections from retailers, with all the variability that brings. Together, these domains sit at the start of the network and set the pace for everything downstream. As a Data Analyst in the Sortation & First Mile squad, you will own the analytics for both domains. The work is broad: cost investigations, workforce planning, capacity analysis, performance tracking, and operational reporting. Your analysis won't sit in a dashboard waiting to be discovered - it will shape how shifts are scheduled, how volumes are managed, and where the operation focuses its improvement efforts. Relay operates a centralised data team of around 30 data engineers, analysts, and data scientists, with analysts embedded into squads across the business. You will sit in the Sortation & First Mile squad, but report into the centralised data team. You'll work closely with operations, commercial, and finance to turn data into decisions that affect how the network runs every day. What You'll Do Investigate cost per parcel: where are we spending too much, where are savings available, and what's driving the variance Track operative performance across roles: throughput, accuracy, shift utilisation, and the balance between direct and agency labour Monitor robot efficiency and capacity: what volumes can they sustain, where are the bottlenecks, how do they compare to manual processing Build models to predict shift requirements and automate workforce planning, prioritising top-performing operatives Analyse injection volumes and manifest accuracy: how much are we actually sorting vs. what's forecast, and where are the gaps Define KPIs and build dashboards that make sortation and first mile performance transparent to operations and leadership Work with commercial teams to set volume limits and injection timing that balance growth with operational stability Who Will Thrive in This Role? You want to understand how an operation actually works, not just analyse it from a distance You're excited by cost problems - finding where money is leaking and building the case for how to fix it You can navigate messy operational data and turn it into metrics people trust You're comfortable working with operations teams and embedding your analysis into their daily workflows You're fluent in SQL and experienced with BI tools, with strong problem solving instincts You have at least 3 years experience, ideally with some exposure to logistics You care about impact, not just insight - you measure success by whether the operation runs better You communicate clearly with non-technical stakeholders and can explain what the data shows and where the limitations are Fast and Focused Hiring Process Talent Acquisition Interview - 30mins Online Hiring Manager Interview - 45mins SQL Live Coding - 60mins Case Study - 60mins Relay Operating Principles & Impact- 60mins Decision and offer within 48 hours. Our process mirrors our pace of work. Compensation, Benefits & Workplace Generous equity, richer than 99% of European startups, with annual top-ups to share Relay's success. Private health & dental coverage, so comprehensive you'd need to be a partner at a Magic Circle law firm to match it. 25 days of holidays Enhanced parental leave. Hardware of your choice. Extensive perks (gym subsidies, cycle-to-work, Friday office lunch, covered Uber home and dinner for late nights, and more). Located in Shoreditch, our office set-up enables the kind of in person interactions that drive impact. We work 4 days on site, with 1 day remote. Who Thrives at Relay? Aim with Precision: You define problems clearly and measure your impact meticulously. Play to Win: You chase bold bets, tackle the hard stuff, and view constraints as fuel, not friction. 1% Better Every Day: You believe that small, consistent improvements lead to exponential growth. You move quickly, deliver results, and learn from every experience. All In, All the Time: You show up and step up. You take ownership from start to finish and do what it takes to deliver when it counts. People-Powered Greatness: You invest in your teammates. You give and receive feedback with care and candour. You build trust through high standards and shared success. Grow the Whole Pie: You seek out win win solutions for merchants, couriers, and our customers, because when they thrive, so do we. If these resonate, and you combine strong technical fundamentals with entrepreneurial drive, let's connect. Relay is an equal opportunity employer committed to diversity, inclusion, and fostering a workplace where everyone thrives.

Join a dynamic team as an AI/ML Developer, where you'll design and deploy cutting-edge AI solutions on cloud platforms. This role involves processing large datasets, collaborating with data scientists, and developing robust AI/ML pipelines. You'll stay at the forefront of AI advancements while contributing to the company's AI strategy. If you're passionate about AI and eager to make an impact in a collaborative environment, this is the perfect opportunity for you.

Software Engineer Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 130+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management. We have a vacancy for a Software Engineer to join our UK Software team based in Oxford. In this role, you will be part of the team responsible for building, maintaining and evolving our renewable energy platform. This platform enables our trading and operations teams to manage and optimise one of the largest fleet of battery energy storage sites in the UK. You will be joining a number of talented, multi-disciplined software engineers who want to build resilient, scalable software to help enable the net-zero transition. Your responsibilities will include: Maintain existing code and own brand new applications. We have written and deployed dozens of different microservice APIs and UIs covering asset dispatch and monitoring, trade management and exposure, reporting and settlements, market interfaces for manual and automated trading, data consumers required for forecasting and optimization. Operations and markets keep changing and so do we. Interface with traders, data scientists, ops analysts and other software engineers to understand the needs and requirements from our software. Navigate the different market and third party tooling to help architect robust and scalable solutions. Write clean and tested code. Check deployments on our Kubernetes cluster are successful and work as expected. Write clear documentation, including troubleshooting runbooks, to enable on call support. Participate positively in peer reviews for and from colleagues to ensure the quality of all our software applications. All software engineers are expected to take an equal share of the tech on call rota. This forms the first point of call for software support issues. Utilising runbooks, support Trading and Operations in live troubleshooting, using the escalation procedure as required. Preferred skills and experience: 2+ years of Python experience Proficiency with API frameworks (FastAPI, Django, etc.) Experience with modelling databases with Python (ideally SQLAlchemy) Experience developing UIs with modern frameworks (e.g. Vue) Desire to be part of a fast paced team, working with live, operational assets Writing code that is clean and tested Positive, open, and honest approach to technical and interpersonal challenges Can communicate complex issues and solutions to technical and non technical stakeholders Nice to have skills and experience: Experience in energy/power trading Experience with Vue Experience with AWS Experience with Docker Experience with Github Actions Experience with Kubernetes Experience with real time (streaming) data management, transformation and orchestration tools and approaches Experience working with microservice architectures, with a focus on zero downtime deployments and scalability Ultimately we are looking for someone who is a great fit for our company so we encourage you to apply even if you may not meet every requirement in this posting. We value diversity and our environment is supportive, challenging and focused on the consistent delivery of high quality, meaningful work. In return, we'll give you a competitive salary, flexible working arrangements and a lot of personal development opportunities. We operate a hybrid working model with at least 2 days in our offices in Oxford. When you apply for a job with us, we process some of your personal information. You can find out more about how we process your information on our company website:

Are you passionate about ensuring the highest quality for cutting-edge generative AI applications? As a software quality engineer at WRITER, you'll play a critical role in shaping the reliability, performance, and trustworthiness of our AI powered work orchestration platform. You'll be at the forefront of defining and implementing rigorous quality strategies for our enterprise grade LLMs and AI agents, directly impacting how hundreds of global companies unlock transformational value through AI. This is a unique chance to dive deep into the unique challenges of AI quality assurance and make a tangible difference in a rapidly evolving field. This is a hybrid role based out of our London, San Francisco, Seattle, and New York City hubs. You will report directly to the director of engineering. What you'll do Define and implement comprehensive quality assurance strategies and test plans for our AI agents and LLM powered applications, ensuring exceptional product reliability and performance. Designing and developing automation frameworks: creating robust, scalable, and maintainable automated test frameworks from scratch or enhancing existing ones. You'll need proficiency in at least one language like Typsecript, Python. Collaborate closely with product managers, machine learning engineers, and data scientists to understand complex AI features and model behaviors, translating them into effective test cases and validation criteria. Drive the continuous improvement of our testing processes and infrastructure, integrating automated checks within our CI/CD pipelines to ensure rapid, high quality releases. Identify, document, and track software defects and inconsistencies, performing root cause analysis to provide actionable feedback to development teams. Monitor production systems and AI model performance, proactively identifying potential issues and contributing to post release quality validation. Champion quality best practices across engineering teams, fostering a culture of ownership and continuous improvement in delivering world class AI solutions. Designing, managing, and maintaining test data strategies and mock services to ensure stable, isolated, and repeatable test execution. Experience designing, developing, or integrating agentic AI systems, AI skills, and the Model Context Protocol (MCP). Manage the full defect lifecycle by analyzing customer feedback and debugging logs to identify, prioritize, and track software bugs, collaborating closely with development teams to ensure timely resolution. What you need 5+ years of hands on experience in software quality assurance or engineering, with a strong focus on testing complex distributed systems or AI/ML applications. Proficiency in programming languages like Python or Typescript for test automation, and experience with modern testing frameworks such as Playwright. Solid understanding of AI/ML concepts, including model evaluation metrics, data pipelines, and the unique challenges of testing generative AI outputs. Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes) in a CI/CD environment is a big plus. Exceptional analytical skills to dissect complex problems and a keen eye for detail, ensuring no bug goes unnoticed. A collaborative spirit that helps you Connect cross functional teams to common quality goals, Challenge existing assumptions to build better systems, and Own the end to end quality of our products. Demonstrated ability to drive initiatives independently and thrive in a fast paced, evolving startup environment. Benefits & perks (UK full time employees) Generous PTO, plus company holidays Comprehensive medical and dental insurance Paid parental leave for all parents (16 weeks) Fertility and family planning support Early detection cancer testing through Galleri Competitive pension scheme and company contribution Annual work life stipends for: Wellness stipend for gym, massage/chiropractor, personal training, etc. Learning and development stipend Company wide off sites and team off sites Competitive compensation and company stock options

慨正橡扯 in Greater London is looking for a fraud data scientist to be part of its International Consumer Bank team. The role focuses on developing and implementing fraud detection strategies and conducting analytics to protect customers and the bank's financial interests. Qualified candidates should possess a Master's degree in a numeric field and have knowledge of fraud processes. Team management experience is also needed, focusing on enhancing operational efficiency within a collaborative squad environment.

Junior AI in Greater London is seeking a dedicated data scientist to build the analytics foundation and understand user behavior deeply. You'll drive engagement analysis, customer health modeling, and sales funnel mapping while having significant visibility and impact. The ideal candidate possesses a strong data analytics skillset, proficiency in SQL and Python, and experience with product analytics tools. The role offers competitive pay along with a gym membership and team offsites.

We are looking for an intellectually curious Data Scientist to join our research team on a full-time, permanent basis. You will own the design and operation of data pipelines that collect, clean, model, and evaluate alternative data sources with relevance to equity markets. The work sits at the intersection of statistical analysis, financial research, and data engineering. Expect equal parts building robust pipelines, applying rigorous quantitative methods, and communicating findings clearly to stakeholders across the business. What You'll Do Design, build, and maintain web scrapers to collect structured and unstructured data from public sources. Clean, normalise, and validate incoming datasets; flag anomalies and document methodology. Evaluate data quality and relevance by assessing coverage, timeliness, and signal potential against equity market use cases. Conduct desk research on companies, sectors, and market themes to provide context for quantitative findings. Produce clear, concise written and visual outputs that communicate data findings and statistical conclusions to both technical and non-technical audiences. Partner with strategic managers and senior researchers to iterate on data strategies, prioritise new sources, and translate quantitative findings into actionable insights. What We're Looking For Must Have Proficiency in Python, particularly writing clean, well-structured scripts independently. Hands on experience with pandas for data manipulation, transformation, and analysis; this is a core part of day to day work. Strong analytical mindset: you ask good questions of data and don't take outputs at face value. Attention to detail and a methodical approach to quality checking your own work. Statistical proficiency: comfortable with hypothesis testing, regression, distributions, and interpreting model outputs with appropriate rigour. Proven ability to present data findings to non technical audiences: translating complex analysis into clear narratives and actionable recommendations for business stakeholders. Clear written and verbal communication, with the confidence to present findings independently. Nice to Have Prior exposure to equity markets, whether through professional experience, personal investing, or independent research. Exposure to AWS cloud services, particularly S3 for data storage or Athena for querying large datasets. Familiarity with SQL or basic database querying. Exposure to financial data providers (Bloomberg, Refinitiv, etc.) or alternative data concepts. Experience with version control (Git) and working in a collaborative codebase. About You You are a practising data scientist with demonstrable experience applying statistical methods and building data pipelines in a professional setting. A degree in data science, statistics, mathematics, economics, or a related quantitative field is preferred, but we are open to all backgrounds provided you have the skills and the drive to keep learning. If you have a genuine curiosity about markets and a talent for turning messy data into actionable insights, we want to hear from you.

United Cerebral Palsy of Georgia is seeking a Data Scientist for a 6-month fixed-term contract in London. This hybrid role involves working 3 days in the office and 2 days from home, focused on advanced modelling and analytics. The successful candidate will utilize their Python and SQL skills to explore complex datasets and provide actionable insights. Ideal applicants will hold a degree in a quantitative field and possess strong communication skills to engage with stakeholders effectively. Salary up to £69,000 pro rata.

About Charlotte Tilbury Beauty Founded by British makeup artist and beauty entrepreneur Charlotte Tilbury MBE in 2013, Charlotte Tilbury Beauty has revolutionised the face of the global beauty industry by de-coding makeup applications for everyone, everywhere, with an easy-to-use, easy-to-choose, easy-to-gift range. Today, Charlotte Tilbury Beauty continues to break records across countries, channels, and categories and to scale at pace. Over the last 10 years, Charlotte Tilbury Beauty has experienced exceptional growth and is one of the most talked about brands in the beauty industry and beyond. It has become a global sensation across 50 markets (and growing), with over 2,300 employees globally who are part of the Dream Team making the magic happen. Today, Charlotte Tilbury Beauty is a truly global business, delivering market-leading growth, innovative retail and product launches fuelled by industry-leading tech - all with an internal culture of embracing challenges, disruptive thinking, winning together, and sharing the magic. The energy behind the brand is infectious, and as we grow, we are always looking for extraordinary talent who want to be part of this our success and help drive our limitless ambitions. About the role Data is at the heart of our strategy to engage and delight our customers, and we are determined to harness its power to go as far as we can to deliver a euphoric, personalised experience that they'll love. Our Data Analytics team is central to these efforts and works closely with our brilliant team of Data Engineers, Data Scientists, Software Engineers and Products teams (among others) to deliver robust insights and reporting to the entire company. Everyone in the data team plays a key role in creating the foundations for robust data and empowering individuals across the business to make insightful, data-led decisions. We primarily use Snowplow, GA4 and Google Tag Manager (for our Web data), BigQuery (for our data warehousing) and Looker (for our BI and Data Visualisation). As a Senior Digital Implementation Analyst (App & Web) you will Own and maintain digital tracking implementation across app and web, primarily in Snowplow and GTM Partner closely with Product and Engineering teams to ensure new features, customer journeys, and experiments are measured clearly and consistently. Maintain and quality-assure GTM configurations, including relevant third-party tags. Gather measurement and reporting requirements from stakeholders and translate them into clear tracking, QA, and reporting-ready implementation requirements. Work with analysts, engineers, and data partners to ensure events are tracked, validated, and modelled appropriately for reporting and analysis. Support teams in understanding and using web and app reports effectively. Build strong stakeholder relationships through requirements gathering, implementation guidance, knowledge sharing, and measurement support. Maintain clear tracking documentation, event definitions, and implementation knowledge to support scalable reporting and consistent ways of working. Use modern tools, including AI-assisted workflows where appropriate, to improve efficiency, documentation quality, QA, and problem-solving. Who you will work with Data Team and many other departments About you Advanced experience in digital tracking implementation across app and web, including Google Tag Manager, data layer design, event QA, and ideally hands-on Snowplow experience. Experience with server-side tagging, or a strong understanding of server-side implementation approaches, is desirable. Experience working with BI and reporting platforms such as Looker, including translating measurement needs into clear and usable reporting outputs. Be comfortable working with event-level data in BigQuery and partnering with Data Engineers to shape reporting-ready data models. Be flexible, collaborative, and comfortable working in small teams on fast-moving and time-bound priorities. SQL experience is highly desirable, especially for validation, investigation, and working with event-level data. Be curious, proactive, and motivated to keep learning in a fast-changing measurement and analytics environment. Enjoy sharing ideas, collaborating with peers, and helping others understand data and measurement clearly. Be able to work independently, use initiative, and solve complex implementation or measurement problems with limited direction. Be able to prioritise effectively and stay organised in a fast-paced environment with competing stakeholder needs. Why join us? Be a part of this values driven, high growth, magical journey with an ultimate vision to empower everyone, everywhere to be the best version of themselves. We're a hybrid model with flexibility, allowing you to work how best suits you. 25 days holiday (plus bank holidays) with an additional day to celebrate your birthday. Inclusive parental leave policy that supports all parents and carers throughout their parenting and caring journey. Financial security and planning with our pension and life assurance for all. Wellness and social benefits including Medicash, Employee Assist Programs and regular social connects with colleagues. Bring your fury friend to work with you on our allocated dog friendly days and spaces and not to forget our generous product discount and gifting!

Take a lead role in shaping data science pipelines, platforms and methodologies Cambridge; £DoE + Benefits This life science stealth start-up is expanding, and having put together their core science team, are now looking to hire their first Data Scientist to join them. As you may expect in a start-up, projects and roles are quite fluid and dynamic, and as a Data Scientist, you would be tasked to build their data platform and establish processes to generate insight from the scientific data that is generated. Examples of project work will include algorithm development for time series events, maintaining data analysis pipelines, and implementing best-in-practice data analysis techniques. Requirements Master's or ideally PhD in mathematics, science or similar. Demonstrable experience in data analysis in a science environment (ideally biotech or applied life sciences). Strong application experience in data science methodologies including signal processing, classical algorithms, and machine learning. Ability to make sense of data within project context and company goals, so that insight can aid further research and projects. Good Python programming skills with the ability to write maintainable code to a good standard including use of relevant libraries and associated tools. This should include awareness to write appropriate tests. Excellent communication skills with the ability to talk to non-technical and non-scientific stakeholders. Any exposure to training ML models (neural networks) would be desirable. This role would predominately be based at offices in Cambridge (although some flexibility for hybrid working would be possible when projects allow). Please note no company sponsorship is available, and interested applicants must have full rights to work in the UK without any restrictions. Please apply (quoting ref: CV27639) only if you are eligible to live and work in the UK. By submitting your details you certify that the information you provide is accurate.

Traveltechessentialist seeks a Data Scientist III to deliver advanced analytics and support commercial objectives. You'll design reporting tools, perform statistical analyses, and contribute to decision science tooling. This senior role demands independent problem-solving and the application of data science techniques. The ideal candidate will have a strong foundation in statistics, experience with SQL, and proficiency in Python or R. Join us to impact the future of travel with data-driven insights.

Data Scientist - Partner Flow Hybrid in London, United Kingdom We're looking for a Data Scientist to join the Partner Flow team You'll own experimentation and analytics for iwoca's partner channel - fintechs and platforms that embed iwoca lending in their own products. The analytical approach is still being built, and the scope to shape it is wide. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team Partner Flow owns the customer journey from the moment someone starts an application on a partner platform through to a completed credit assessment. By making the application process as smooth as possible and collecting the data needed for a credit decision efficiently, the team maximises the number of partner-referred customers that receive an offer. The team works across the full application stack - from the APIs partners use to integrate iwoca, through to the experience customers see when they apply. The team is small and cross-functional, combining data science, engineering, design, and product. Active projects include: Pre-qualification - testing how showing customers an offer before they apply affects conversion and long term value Credit card strategy - iwoca recently launched a credit card alongside its flexi-loan; the team is working out which product, or combination, to offer which customers Funnel optimisation - identifying and reducing the biggest points of friction across the partner journey The role You'll design experiments, model customer behaviour and analyse large data sets across the partner funnel, and turn findings into product and strategy decisions. The analytical approach is still being shaped - you'll influence how it develops, not just what it produces. The work has direct commercial consequences - on partner platforms, iwoca competes for attention alongside other lenders, and what this team builds and tests affects which customers convert and on what terms. You'll work closely with commercial, strategy, and product colleagues across the business. Experimentation and causal inference. You'll design and analyse experiments where careful randomisation and interpretation are critical. You'll need to know where standard A/B testing breaks down and what to reach for instead. The problems are consequential: measuring how pre-qualification affects Customer Lifetime Value (CLTV), and understanding how different products interact when offered to the same customer base. Funnel and competitive strategy. You'll analyse the full partner-referred customer journey - from application through to credit assessment - identifying where conversion breaks down and why. On partner platforms, iwoca is positioned alongside competitors, so you'll also figure out what makes customers choose iwoca over the alternatives, and how to shift those dynamics in our favour. Commercial translation. You'll be directly involved when decisions get made - not handing off analysis to be interpreted by someone else. You'll work with commercial and strategy colleagues and coordinate with adjacent teams to make sure the tests and policies you run fit together with their ongoing work. AI and ways of working. You'll use AI to accelerate and automate your analytical work. The team treats this as a lever for increasing its rate of learning. You'll be expected to have a view on where it helps and where it doesn't. The requirements Essential: Statistical foundations. Strong grounding in probability and statistics, with an understanding of Bayesian reasoning and experience applying hierarchical modelling or decision-making under uncertainty. Causal inference. Experience separating signal from noise in observational and experimental data.Business translation. Ability to understand commercial context and translate data into actionable insights that guide decisions - not just produce analysis, but land it with people who act on it. Data tooling. Proficiency with data manipulation and modelling tools. Analytical ownership. Comfortable owning ambiguous problems end-to-end - from framing through modelling to influencing decisions. AI fluency. Experience with and a passion for using AI to accelerate and automate analysis and model building. Communication. You write and speak clearly, adapting technical detail to different audiences. Bonus: Modelling depth. Experience building or adapting statistical or ML models, with an interest in understanding what's happening underneath Stochastic methods. Familiarity with stochastic modelling concepts as they apply to inference, time series, or uncertainty. Funnel and marketplace experience. Experience with conversion funnel analysis or marketplace dynamics where you're competing for attention alongside competitors. Python. You work primarily in Python. If your background is R or another language, that's fine - but Python is what the team uses day to day. Market curiosity. You want to understand how the partner lending market actually works - what makes a partner choose iwoca over a competitor, and what makes a customer convert. The salary We expect to pay from £70,000 - £100,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links iwoca benefits & policies Interview welcome pack

bet365 Group in Stoke-on-Trent is looking for a Data Scientist to develop probabilistic models that power real-time betting markets. You'll work within the Quantitative Analysis department, utilising extensive datasets and statistical techniques to improve sports betting pricing and decision-making. A Bachelor's degree in a relevant field and strong Python/R skills are essential. The position offers opportunities for growth in a hybrid working environment promoting technical innovation.

Data Scientist - Bristol (Hybrid 3 days office) Full-time Permanent Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move. We're partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results-and now the team is scaling it to the next level. This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You'll be the key link between customers, product, and engineering identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform. The Role You'll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform. You'll also work directly with Product and Engineering to turn prototypes into production ready features, while engaging with customers to validate ideas and refine direction. This is a highly visible role reporting into a Co Founder, and will play a central part in shaping both the product roadmap and customer experience. What you'll be doing Designing, prototyping, and testing data driven product features Translating business and customer needs into data science problems Building clear, engaging data outputs that demonstrate value Working with Product & Engineering to scale solutions across a SaaS platform Presenting insights and prototypes to both technical and non technical audiences Gathering and analysing customer feedback to influence product direction Supporting Customer Success and Marketing with customer value storytelling Helping prioritise product development based on data and customer insight Occasionally supporting client facing delivery and professional services work What we're looking for Strong Python skills for data science (pandas, seaborn, plotly) Experience turning data into clear, engaging business insights Confidence working across product, engineering, and customer teams Ability to translate business needs into structured technical requirements Strong communication skills, including presenting to non technical stakeholders A proactive mindset-you don't wait to be told what to do Excellent organisation and attention to detail Nice to have Experience building production level code Background in marketing analytics or campaign data Product management exposure Experience with geospatial data A/B testing knowledge Docker or containerisation experience Linux / Bash familiarity Experience delivering training or customer enablement sessions Why this role? This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what's possible in data driven marketing. If you want a role where your work directly shapes a product-and where data science sits at the heart of commercial value-this is one to explore. Please apply by sending your CV to (url removed)

PLP Group is seeking a Graduate Data Scientist to join our team in Central London. This role is ideal for recent STEM graduates or those with up to two years of experience. You will work within our Data Science team, developing analytical and machine learning solutions. The position offers flexible working arrangements, including 3-4 days in the office and remote work options. Benefits include share options, a learning and development budget, and private health insurance.

Data Scientist - Bristol (Hybrid 3 days office) Full-time Permanent Are you a data scientist who thrives on turning complex data into real commercial impact? Do you enjoy building scalable, repeatable solutions rather than one-off analysis? Are you excited by the opportunity to shape a product from the ground up? If so, this could be your next move. We're partnering with a fast-growing B2B SaaS business that blends behavioural science with cutting-edge data to help major consumer brands better understand and influence human behaviour. The product is already delivering strong results-and now the team is scaling it to the next level. This is a rare opportunity to step into a role where data science, product, and customer insight all meet. You'll be the key link between customers, product, and engineering identifying valuable insights, shaping features, and helping embed them directly into a scalable SaaS platform. The Role You'll work closely with Customer Success to uncover what clients actually need from their data, translate that into structured data science problems, and then design and prototype features that can be rolled out across the platform. You'll also work directly with Product and Engineering to turn prototypes into production ready features, while engaging with customers to validate ideas and refine direction. This is a highly visible role reporting into a Co Founder, and will play a central part in shaping both the product roadmap and customer experience. What you'll be doing Designing, prototyping, and testing data driven product features Translating business and customer needs into data science problems Building clear, engaging data outputs that demonstrate value Working with Product & Engineering to scale solutions across a SaaS platform Presenting insights and prototypes to both technical and non technical audiences Gathering and analysing customer feedback to influence product direction Supporting Customer Success and Marketing with customer value storytelling Helping prioritise product development based on data and customer insight Occasionally supporting client facing delivery and professional services work What we're looking for Strong Python skills for data science (pandas, seaborn, plotly) Experience turning data into clear, engaging business insights Confidence working across product, engineering, and customer teams Ability to translate business needs into structured technical requirements Strong communication skills, including presenting to non technical stakeholders A proactive mindset-you don't wait to be told what to do Excellent organisation and attention to detail Nice to have Experience building production level code Background in marketing analytics or campaign data Product management exposure Experience with geospatial data A/B testing knowledge Docker or containerisation experience Linux / Bash familiarity Experience delivering training or customer enablement sessions Why this role? This is a chance to join a small but ambitious team building something genuinely novel in behavioural science and marketing analytics. The product already has strong traction, and the next stage is about scaling impact, deepening capability, and pushing the boundaries of what's possible in data driven marketing. If you want a role where your work directly shapes a product-and where data science sits at the heart of commercial value-this is one to explore. Please apply by sending your CV to (url removed)

Bloomberg L.P. is seeking a Data Scientist in London to build and maintain analytical models and pipelines. Candidates should have over 5 years of experience in quantitative analysis and machine learning, along with strong Python skills and expertise in statistics. The role involves handling datasets to extract economic insights and collaborating on high-priority research. Bloomberg values diversity and is a disability-inclusive employer.