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About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy, recognised for delivering impactful technology solutions across UK government departments. Our work has positively influenced the lives of over 40 million UK citizens. With a strong commitment to user-centred design and agile delivery, we continue to build innovative digital services that truly make a difference. Overview: We are seeking a seasoned Data Lead to define and deliver a comprehensive data strategy for large-scale, citizen-facing services used by millions. This role involves assessing current data capabilities, defining a future vision, and architecting a roadmap to achieve it while building and leading the team required to deliver. Key Responsibilities: Data Strategy & Governance Lead the end-to-end data strategy across services Assess current ( as-is ) and future ( to-be ) states of data platforms and pipelines Develop a short- to medium-term strategic roadmap aligned with broader organisational and government data strategies Define and implement policies, standards, and governance frameworks for secure and scalable data services Technical Leadership & Architecture Select and evolve data engineering tools, frameworks, and methodologies Ensure alignment with enterprise architecture and technical strategies Lead delivery of complex data engineering initiatives across multiple systems Design solutions balancing functional and non-functional requirements Team Design & Delivery Define optimal team structure, including roles, skills, and capacity Build and lead multidisciplinary data teams (engineers, analysts, data scientists) Mentor and guide team members to ensure high-quality delivery Oversee implementation of data platforms, pipelines, and analytical models Standards, Compliance & Quality Ensure adherence to data governance, security, and compliance standards Embed data quality, lineage, and protection practices across systems Contribute to enterprise-wide data policies and regulatory compliance Required Experience & Skills: 10+ years of experience in data engineering, data science, or analytics Proven experience defining and executing data strategies in complex organisations Strong expertise in cloud-based data platforms (AWS preferred) Experience with modern ETL/ELT tools and data pipeline frameworks Solid understanding of data modelling, warehousing, and transformation best practices Experience across the data science/ML lifecycle from prototype to production Experience working in public sector or regulated environments, with knowledge of GDPR and related standards Strong communication and stakeholder management skills, including engaging senior stakeholders Proven leadership, mentoring, and team-building capabilities Tech Stack: Google Analytics Google BigQuery Looker Studio Google Tag Manager Desirable Experience: Experience in public sector or citizen services (eg, benefits systems) Exposure to government frameworks or large-scale transformation programmes Security clearance (BPSS, SC, or DV) or willingness to obtain Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.

Position Overview Proximie's engineering organization is the heartbeat of the company - designing and delivering products that drive measurable clinical and operational impact. Our platform empowers surgical teams around the world to improve patient outcomes, optimise operating room efficiency, and harness data for smarter, more connected surgery. As Proximie continues its global expansion, we are seeking a Senior Data Engineer to join our data engineering team. Our data has become more important than ever. We need to utilise it to make analytical decisions, store it securely, move it between different systems, all the while ensuring that we adhere to healthcare and data protection regulations. As a Senior Data Engineer you'll help shape the future of Proximie's Data & Insights platform, ensuring our systems are robust, secure, and scalable to power analytics, AI, and data products used by hospitals worldwide. Responsibilities Reporting to a Data Engineering Lead based in the UK, the Senior Data Engineer will be responsible for: Design, evolve and future proof scalable data architectures to meet performance, cost, and reliability goals. Build and orchestrate resilient batch and real time data pipelines. Data modelling & cataloguing including: Performance tuning in various technologies (e.g. Spark, Presto, Athena, Postgres) Build automated testing frameworks including implement anomaly detection and validation checks (e.g. with Great Expectations). Monitoring & Incident Response including: Enforce data access controls, encryption at rest/in transit, PII masking/anonymization, and collaborate on HIPAA/GDPR (or equivalent) compliance. Manage and version cloud infrastructure using IaC tooling (e.g. Terraform) Collaborate closely with Data Scientists, Analysts, Product, and Customer Success teams to design reliable, well documented datasets and APIs that enable analytics, insights, and ML capabilities. Drive development of customer facing data products - APIs, timelines, dashboards - and support machine learning data pipelines. Mentor junior engineers, champion best practices, document architectures/runbooks/data dictionaries, and standardise coding conventions and CI/CD. Requirements Bachelor's degree in Computer Science, Mathematics, or related field (or equivalent practical experience). Minimum of 5+ years as a Data Engineer with experience developing and supporting with data lakes, warehouses preferably on AWS. Extensive experience designing, deploying, and maintaining data infrastructure on AWS (or equivalent), including data lakes, warehouses, and real time pipelines. Experience across a variety of AWS products such as S3, Glue, EMR, Lambda, Aurora or equivalents. Professional software development experience with Python and SQL. Able to work as a team to deliver against requirements in a collaborative and agile way. Desirable Requirements Certification from a major cloud provider, ideally AWS Certified Solutions Architect. Data visualisation experience. Experience of testing, CI and monitoring data driven applications. Experience working with third party APIs. Experience with dbt, Snowflake or DataBricks. Experience with orchestration tools e.g., Airflow. Experience with messaging and event processing platforms. Building REST/GraphQL APIs. Benefits You will be encouraged to grow in your role, take ownership and gain responsibilities. Proximie's values are Ownership, Deliver Results, Build Trust and Go Beyond. Generous annual leave. Two "well being" days per year plus the day off for your birthday. "Summer Fridays" - early office closing on Fridays during summer months. Annual bonus programme - based on individual contribution. To support your professional growth, all permanent employees will have access to an annual stipend of £1,000 to assist with personal development activities. Flexible working hours - we trust our people to manage their time and to focus on wider results. A flat organisational structure where every opinion matters, ideas are cultivated, and innovation is encouraged. Proximie is a truly global company with teams across the UK, Europe, United States, and the Middle East where you will have opportunities to see the world. Proximie is an equal opportunity employer. We are committed to providing a work environment that supports, inspires, and respects all individuals. We do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under the law.

Manchester, United Kingdom Posted on 15/05/2026 We're seeking a seasoned Data Lead to own and deliver the data strategy for a government client that uses services employed by over 18 million citizens across three newly rebuilt benefits systems. Key Responsibilities Lead the end to end Data Strategy for Bereavement & Care services. Map the "as is" and "to be" state of our data platforms and pipelines. Develop a 3 month strategic roadmap aligned with the wider Government Data Define and embed organisational policies, standards and guidelines for secure, Technical Leadership & Architecture Select and evolve data engineering methods, tools and techniques. Ensure adherence to agreed technical strategies and architectures. Plan and drive delivery of complex data engineering programmes across multiple systems. Balance functional and non functional requirements when designing data solutions. Define the optimal data team structure (roles, skills, capacity) to deliver the Design and chair multi functional delivery teams, mentoring engineers, scientists and analysts. Partner with our delivery provider to onboard specialist roles per your recommendations. Oversee implementation of new data platforms, ETL pipelines, and analytical Monitor application of data standards, governance frameworks and security controls. Embed strong data quality, lineage and protection practices across all systems. Contribute to and enforce enterprise wide data engineering policies and compliance. Required Experience & Skills Data Leadership: 10 years across data engineering, data science or analytics; proven track record setting/executing data strategies in complex organisations. Technical Breadth: Cloud based data platforms AWS must (Azure, AWS or equivalent) Modern ETL/ELT tools and data pipeline frameworks Data modelling, warehousing and transformation best practices Data science/ML lifecycle from prototype to production Government/Public Sector: Experience to GDS equivalent standards; strong grasp of GDPR, FOI and public sector procurement. Communication & Stakeholder Management: Able to translate technical concepts for non tech executives; excellent mentoring and team building skills. Domain experience in benefits or civic services (e.g. public sector). Previous contracting under SIFA or similar public sector frameworks. Security clearance (BPSS, SC or DV) or willingness to obtain. Diversity & Inclusion At Scrumconnect Consulting, we believe that diversity drives innovation. We are committed to creating an inclusive environment where every individual is respected, valued, and supported. We welcome applications from candidates of all backgrounds and experiences, and we actively encourage applications from women, people with disabilities, underrepresented communities, and those seeking flexible working arrangements.

A leading data technology firm in Greater London is looking for a Data Analytics Engineer to design and implement scalable data models. You will collaborate closely with product managers and data scientists, continuously enhancing analytics and data quality. Key qualifications include proven data modeling experience, excellent SQL skills, and familiarity with cloud technologies like Snowflake. This role provides a great opportunity to drive meaningful insights and product evolution in a dynamic environment, making a significant impact on the company's analytics strategy.

JOB BAND: D CONTRACT TYPE: Permanent, Full-time DEPARTMENT: BBC Group Strategy and Transformation LOCATION: Salford PROPOSED SALARY RANGE: £60,000 - £70,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. PURPOSE OF THE ROLE The Senior Data Engineer will help the BBC make practical use of AI tools and systems to solve business problems and help our internal teams work effectively and efficiently. The role is in the BBC's Generative AI Programme and will collaborate closely with project managers, data scientists, analysts, domain experts, and the BBC's technical teams. The Senior Data Engineer will help build and support reliable data pipelines and components that enable AI projects to move effectively from piloting to successful handover to the business for scaling. The role will work in ways that are responsible, evidence-led and aligned with the BBC's values. WHY JOIN THE TEAM The Generative AI Programme, part of the Strategy & Transformation team, helps the BBC realise value from rapidly evolving AI capabilities in a way that is practical, responsible and aligned to the BBC's public service mission. The team's activities include enabling adoption of AI tools across the organisation; fostering innovation; finding opportunities to use AI to work more efficiently as an organisation, and leading the BBC's engagement on the wider AI issues that shape our operating environment. YOUR KEY RESPONSIBILITIES AND IMPACT Help evaluate AI and automation capabilities, both existing and emerging, using data and evidence to inform decisions about the most appropriate solutions for BBC contexts. Design and develop data pipelines, technical components and supporting capabilities that enable the evaluation and adoption of agentic and AI automation tooling. Work with colleagues across the team to design AI, agentic and automation solutions that address clearly defined operational or domain-specific problems. Build secure, resilient and maintainable data engineering solutions that support experimentation as well as more scalable use where appropriate. Collaborate closely with domain experts, data scientists, analysts, researchers, designers and project management teams to translate requirements into valuable solutions. Contribute to good engineering practice across the team, supporting high standards in data quality, governance, documentation and continuous improvement. Ensure work is carried out in line with the BBC's organisational values, security requirements and responsible approach to AI adoption. YOUR SKILLS AND EXPERIENCE Experience of designing, delivering and operating data engineering solutions, including pipelines, integrations and piloting capabilities. Experience of working with multidisciplinary teams to understand business or user problems and translate them into valuable solutions. Ability to evaluate new tools or technologies critically, using evidence and sound judgement to assess their effectiveness and suitability. Good understanding of data governance, security and quality considerations, with the ability to apply these appropriately in innovative or experimental settings. Good engineering practices including security by design, proficiency in Python, experience with Cloud platforms (AWS preferred) and Infrastructure as Code (Terraform preferred), CI/CD pipelines, and demonstrable use of AI-assisted development tools to improve code quality and delivery pace. Experience working in broadcast, media, start-up or research environments. A strong academic background or research credentials in data engineering or a related discipline. Familiarity with API development frameworks (FastAPI or equivalent). Experience building with Generative AI and agentic frameworks (e.g. LangChain, LangGraph, PydanticAI) and managed AI services (e.g. Bedrock, Azure). Familiarity with enterprise automation toolsets (e.g. Microsoft Power Platform, Copilot Studio) and an understanding of how they complement bespoke AI solutions in large organisations. BENEFITS Fair pay and flexible benefits including a competitive salary package, a flexible 35-hour working week, 25 days annual leave with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care and gym. Excellent career and professional development. Support in your working life, including flexible working which you can discuss with us at any point during the application, selection or offer. A values-based organisation where the way we do things is important as what we do. DIVERSITY AND INCLUSION We have a working environment where we value and respect every individual's unique contribution, so all our employees feel that they can belong, thrive and achieve their full potential. We want to attract the broadest range of talented people to join us. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. DISABILITY CONFIDENT If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, contact us via email: .

Job Description About our Marketplace Enablement Org and User Dialogue Team Within Marketplace Enablement, we build the technology that helps candidates and recruiters find the right match. Our teams deliver data products, search and recommendations, and intelligent user dialogue capabilities using modern engineering practices, AI and cloud-native technology. Within this org, our User Dialogue team, are building the next generation of conversational and agentic AI experiences. This includes intelligent candidate engagement, personalised outreach, messaging journeys, and AI powered systems that support users through complex recruitment journeys. By joining this team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody. The Role We are recruiting for a Staff Software Engineer (AI) to help design, build and evolve production grade agentic AI systems. This is a strategic, hands on engineering leadership role focused on integrating Large Language Models into scalable, secure, reliable and observable architectures. This is an individual contributor leadership role with no direct line management responsibility. You will help move our agentic AI capabilities beyond experimentation and into dependable products that operate safely and effectively at scale across our global marketplace. Working closely with software engineers, machine learning engineers, data scientists, product managers, analysts and technical leaders, you will shape how we build, test, deploy, monitor and govern AI powered systems. Success in this role will depend as much on influence and communication as on technical depth. You will need to create alignment across teams, explain complex concepts clearly, and help others make confident, pragmatic decisions. Responsibilities Design, architect and deliver agentic, LLM powered systems in AWS, ensuring production readiness, scalability, reliability and security. Provide technical leadership to evolve AI solutions from experimentation into robust, observable and maintainable products. Collaborate cross functionally with product, engineering, ML and data teams to align technical decisions with user needs, business priorities and long term platform strategy. Define and drive engineering standards, reusable patterns, tools and best practices for building responsible, consistent and scalable AI systems. Lead large scale implementation and deployment, ensuring excellence across testing, monitoring, evaluation, guardrails and operational support, while clearly communicating architectural decisions and mentoring engineers to raise overall engineering quality. Qualifications Strong Staff level software engineering background with expertise in Python and at least one of Java, TypeScript or .NET, and a proven track record delivering production grade systems. Experience designing, building and operating distributed systems on AWS (or similar cloud platforms), including secure development, data protection, compliance and enterprise architecture principles. Hands on experience integrating LLMs into production, including use of APIs (e.g. OpenAI, Bedrock), prompt orchestration, tool usage and interaction patterns. Expertise in AI system design including state management, memory strategies, evaluation approaches, guardrails, observability and performance optimisation for LLM powered systems. Strong communication and influencing skills, with experience mentoring engineers and driving high standards across teams while engaging both technical and non technical stakeholders. Additional Information We're a community here that cares as much about your life outside work as how you feel when you're with us. Because your job shouldn't take over your life, it should enrich it. Here are some of the benefits we offer: 29 days holiday allowance + bank holidays Private medical and dental healthcare Matching pension contribution of 4 or 5% (after 3 years of service up to 10%) 24/7 Employee Assistance Programme Life Assurance Cover Cycle to work scheme Hybrid working model (3 days working from the office) Volunteering days and you can bring your dog to the office on Mondays and Fridays! Our commitment Equal opportunities are important to us. We believe that diversity and inclusion at The Stepstone Group are critical to our success as a global company, so we want to recruit, develop, and keep the best talent. We encourage applications from everyone, regardless of background, gender identity, sexual orientation, disability status, ethnicity, belief, age, family or parental status, and any other characteristic. As a global business we further our DEI and sustainability progress by working with national and international bodies and are proud to have been recognised for our work - both locally and internationally, including: Armed Forces Covenant: Silver Award, Employer Recognition Scheme EcoVadis: Bronze Award Fertility Friendly Employer, accredited by Fertility Matters at Work RIDI (Recruitment Industry Disability) Awards: Inclusive Technology Award 2024 Stonewall: Gold Award Stonewall: Top 100 Workplace Equality Index (85)

Hey! We're Plum, your smart saving and investing app on a mission to help grow money for life. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum's got your back. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI -that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey. The Role At Plum we're looking for engineers who are passionate about both technology and bringing the best product to our customers. To achieve this mission, we need technical leaders who can look beyond individual features to drive the technical strategy that accelerates our user growth and engagement. We are looking for a Staff Engineer for our First & Last Mile group, the team responsible for driving the core user lifecycle, including user Onboarding, Offboarding, Authentication, Engagement, and Subscriptions. We need a technical leader who understands how to bridge the gap between complex backend services, mobile client architecture, and business impact. You will not only have a strong technical background but also the ability to define technical roadmaps, elevate the engineering culture, and architect systems that enable rapid experimentation across our entire stack. What You Will Do Architect and design modular, scalable, and observable systems that support high-volume experimentation and user engagement flows spanning from the mobile client to backend services Drive the Cross-Platform Strategic Vision and roadmap, ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence across multiple teams. Provide guidance to and mentor Senior Engineers and other team members, fostering a culture of technical excellence and career growth. Identify root causes of systemic issues and architectural bottlenecks, determining short-term mitigations and long term strategic resolutions. Work and intervene on the whole life cycle of the software, from high level system design to deployment and post release monitoring. Partner closely with Product Managers and Data Scientists to design technical solutions that unlock new growth opportunities and optimise user funnels. What We Look For Proven track record of technical leadership, preferably in a mobile heavy or full stack capacity Experience designing and architecting systems at scale Deep experience with A/B testing frameworks, experimentation platforms, or data intensive growth loops. High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning. Positive and solution oriented mindset Strong planning and prioritisation skills, with the ability to translate high level business goals into actionable technical strategies across the stack. Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science. Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non technical executives. Experience in working within a cross functional team and collaborative environment; ability to facilitate technical decision making and resolve conflicts across teams. Self motivated and self managing, with excellent organisational skills and a focus on high leverage work. Comfortable working with both strongly and dynamically typed languages. We value your ability to architect Plum Perks Own part of the company through stock options Private health insurance Annual training budget Plum Premium Referral scheme: earn competitive rewards Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus Team breakfasts and team lunches. 25 days holiday + bank holidays 45 work from anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave 1 paid volunteering day annuallyAnnual team trip: to a surprise destination! A fun, inclusive company culture If this sounds like you, we'd love to hear from you! Thanks, Team Plum Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

Software Engineer - Developer Productivity Location: London, United Kingdom About The Role A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role Are you passionate about engineering quality, efficiency, and increasing the impact of engineers around you? Software Engineers at Palantir build software at scale to transform how organizations globally use data. As a Software Engineer on Developer Productivity, you'll identify, develop, and drive investments to improve the velocity and quality of our engineering, as well as bolster the happiness and productivity of other developers. The role spans a spectrum of areas, such as build and software supply-chain systems, platform runtime environments, telemetry relating concurrency, memory/performance optimizations, and monitoring/alerting. Your primary users will be other developers at Palantir. They will be empowered with the software you develop to build capabilities used by research scientists, aerospace engineers, intelligence analysts, and economic forecasters in countries around the world. There will be opportunities to contribute to open source software, including projects maintained by others that we leverage. You'll work autonomously within a community that will support and challenge you as you grow to become a strong technical contributor and engineering leader. The team is hiring for Frontend and Backend engineers. Core Responsibilities We're hiring engineers who are passionate about solving real-world problems and empowering developers to do their work optimally. If you're motivated to develop reliable, performant, scalable systems and tools, here are some examples of the types of work you'd get to do: Define and build standard practices for how services are operated and observed throughout their deployment Build libraries and tooling for defining service APIs and the RPC interactions between microservices; like the conjure ecosystem Unify frontend build and CI infrastructure across all of Palantir Help developers understand and adhere to development practices by building great tools and development processes Push Palantir to the cutting edge of software supply chain security Technologies We Use A variety of languages, including Java, Go, and TypeScript Open-source databases like Cassandra, Lucene, Elasticsearch Open-source libraries/frameworks like GraphQL, Undertow, Jackson, and Log4j Industry-standard build tooling, including Gradle, Webpack, CircleCI, and GitHub What We Value Expertise and depth of understanding of a technology or problem space. Embracing, centralizing, and abstracting complexity away from our users in order to expose simple, powerful APIs for consumers that solve otherwise incredibly complex technical problems. Ability to understand how technical decisions impact individuals who will use what you're building and drive to super-power those people Empathy for developer and operator workflows and productivity Awareness of recent industry practices and open source advancements What We Require 2+ years of software engineering experience, preferably in fields such as Computer Science, Mathematics, Software Engineering, Physics Strong coding skills with demonstrated proficiency in programming languages, such as Java, C++, Python, JavaScript/TypeScript, or similar languages Great problem solving skills with ability to dive into and navigate existing complex systems Familiarity with data structures, storage systems, cloud infrastructure, and other technical tools Strong written and verbal communication skills

Equifax is where you can power your possible. If you want to achieve your true potential, chart new paths, develop new skills, collaborate with bright minds, and make a meaningful impact, we want to hear from you. What You'll Do: Conduct in-depth analysis of data available to Equifax and its partners. Collaborate with product managers to conduct market research and validate product needs. Develop and test AI models and algorithms, utilizing platforms like Vertex AI and BQML. Contribute to the creation of business cases for proposed AI solutions. Evaluate the feasibility and potential impact of AI projects. Provide technical guidance and support to junior analysts. Be proficient in Python, stay up-to-date on the latest advancements in AI and machine learning. Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science fundamentals to independently prepare datasets, conduct analytics, and develop deployable solutions Collect, analyze and interpret large data assets to define and build multiple innovative solution components leveraging business and technical expertise. Support the analytical strategy by understanding critical technical capabilities and suggesting opportunities. Lead the development or projects with multiple deliverables, leveraging business and technical expertise. Work on high-complexity tasks in problems often within multiple business or analytical domains, collaborating with other teams to develop predictive models, risk assessments, fraud detection, recommendation engines, etc. encouraging enhanced solutions Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Communicate results to external stakeholders and mid level leadership, able to communicate business impact of work Evaluate the technical work of peer and junior data scientists, guiding them on deliverable quality and accuracy What experience you need Bachelor's degree (2:1 or above) in a numerical subject (Computer Science, Mathematics, Statistics, Physics, Engineering). Solid experience in data analysis, machine learning, and AI development. Hands-on experience with cloud-based AI platforms and tools. Proficiency in programming languages such as Python and SQL. Strong analytical and problem-solving skills. Ability to work independently and as part of a team. Good communication and presentation and visualisation skills. Strong experience in a related analytical role Proven track record of designing and developing predictive models in real-world applications Experience with model performance evaluation and predictive model optimization for accuracy and efficiency Cloud certification strongly preferred Additional role-based certifications may be required depending upon region/BU requirements What could set you apart Experience with specific AI techniques, such as neural networks or natural language processing. Knowledge of the financial services industry. Contributions to open-source AI projects. Experience with data visualization tools. Passion for data science, data mining, machine learning and experience with big data architectures and methods A Master's degree in a quantitative field (Statistics, Mathematics, Economics)We offer a wide range of company supported benefits including contributory pension, life cover, income protection, healthcare, enhanced maternity and sick pay, 26 days holiday and a day off for your birthday, with the ability to buy and sell and free credit checks. We also offer flexible benefits ranging from cycle to work, discounted travel options, gym membership, dining and leisure discounts, financial & savings plans, mobile discounts plus much more!We also support personal development and have a range of learning options including our global online learning platform and allow you to bring your whole self to work supported by our Inclusion and Diversity, Wellbeing and Employee Engagement forums. Primary Location: GBR-LondonGBR-Leeds-6-Wellington, GBR-Nottingham Function: Function - Data and Analytics Schedule: Full timeAt Equifax, we believe knowledge drives progress. As a global data, analytics and technology company, we play an essential role in the global economy by helping employers, employees, financial institutions and government agencies make critical decisions with greater confidence. We work to help create seamless and positive experiences during life's pivotal moments: applying for jobs or a mortgage, financing an education or buying a car. Our impact is real and to accomplish our goals we focus on nurturing our people for career advancement and their learning and development, supporting our next generation of leaders, maintaining an inclusive and diverse work environment, and regularly engaging and recognizing our employees. Regardless of location or role, the individual and collective work of our employees makes a difference and we are looking for talented team players to join us as we help people live their financial best.Equifax is an Equal Opportunity employer, and qualified applicants will receive consideration for employment without regard to race, color, religion, ancestry, age, sex/gender, sexual orientation, gender identity or expression, service in the Armed Forces, protected veteran status, national origin, physical or mental disability, genetic information, citizenship status or any other status protected by law. For US Applicants If you'd like more information on your EEO rights under the law, please view our , and . If you need a reasonable accommodation to assist with your job search or applicant for employment, please contact us by sending an email to . In your email, please include a description of the specific accommodation you are requesting and a description of the position for which you are applying. Equifax participates in and (English and Spanish).

Overview Bruker is enabling scientists and engineers to make breakthrough post-genomic discoveries and develop new applications that improve the quality of human life. Bruker's high performance scientific instruments and high value analytical and diagnostic solutions enable scientists to explore life and materials at molecular, cellular, and microscopic levels. In close cooperation with our customers, Bruker is enabling innovation, improved productivity, and customer success in post-genomic life science molecular and cell biology research, in applied and biopharma applications, in microscopy and nanoanalysis, as well as in industrial and cleantech research, and next-gen semiconductor metrology in support of AI. Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics. For more information, please visit. We are seeking an Applications Scientist to support our X ray activities, primarily in HRXRD, XRD, XRR and XRT, in Durham UK. Bruker's Semiconductor X-ray group is the leader in advanced X-ray and other metrology for the silicon and compound semiconductor industries. We offer a comprehensive portfolio of X-ray tools, based on technologies including XRD (X ray diffraction) and HRXRD (High Resolution X Ray Diffraction), XRT (X ray topography), XRR (X ray reflectometry), XRF (X ray fluorescence), and XCD (X ray Critical Dimensions). Responsibilities Provides specialist technical support particularly through demonstrations of product capabilities (hardware and software) but also via sales presentations, customer training and support and qualification of company X-ray products. Assists customers with assessing potential applications of company products to meet process metrology needs via the demo process, presentations and discussions. Works with our customers from before the sale, through demonstration measurements, delivery and installation to specialist user support for applications. Ensures that the product application/solution is functioning according to specifications including source inspection of the tools prior to shipment and following installation. Applications development based on customer requirements to demonstrate feasibility of the application, often requiring rapid demos. Develops and disseminates Best Known Methods. Supports the core technology, engineering and production teams in qualification of new technologies, algorithms, methodologies, software and hardware features. Supports Product Managers in preparing detailed product specifications for the development and implementation of customer applications/solutions. Feeds back customer requirements and interests for hardware and software development. Provides follow-up support to company sales staff and customer service personnel by disseminating technical information on specific applications. Qualifications EDUCATIONAL/EXPERIENCE REQUIREMENTS: Degree in physics, chemistry, material science or engineering (B.Sc. minimum, Masters or higher degree preferred). Fluent in English with experience in technical communication (writing, presenting, discussing, listening). Good knowledge of basic crystallography/crystal structure, interference of waves; knowledge of thermodynamics, kinetics, diffusion, etc.; experience/understanding of deposited electronic layers is an advantage. Experience of metrology and characterisation techniques (preferably hands on work and results analysis). Experience in X ray materials characterisation techniques is an advantage. Experience with problem analysis and troubleshooting techniques. Experience of working in the semiconductor industry and in a fab is an advantage. Experience in reconciling results of similar measurements by different techniques preferred. Good knowledge of statistics and data analysis. Able to understand the problems that our customers are trying to solve, understand the customer's current and future metrology requirements, and recommend new metrology opportunities to Bruker KNOWLEDGE, SKILLS, AND ABILITIES: Positive "can do" attitude, a highly motivated self starter. Critical thinking, problem solving, creative approaches to troubleshooting. Quick learner and keen to learn. Resourceful, proactive, able to take initiative, meticulous attention to detail. Ability to be creative under pressure with tight deadlines. Good organisational skills; able to manage priorities and multiple tasks. Demonstrated oral and written communication skills. Clear communication and description of problems and solutions, with both customers and colleagues (local and overseas). Strong team player as part of a multi disciplinary team focused on achieving shared goals, able to work independently when required. Strong orientation towards meeting customer expectations. Strong customer facing skills, in the creation and delivery of presentations of data and marketing materials and in obtaining customer feedback. Strong interpersonal skills, particularly inter cultural awareness. Ability to interface with internal and external customers and support groups within Bruker. Goal oriented with good track record of achieving targets on time. Good IT literacy; familiarity with file transfer, word processing, spreadsheets, etc. Willing and able to travel both domestically and internationally, sometimes at short notice. Expect up to approx. 20% travel over a year.

Hey! We're Plum, your smart saving and investing app on a mission to help grow money for life. Whether you're stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum's got your back. Since 2016, over 2 million people in 10 European markets have set aside more than £2 billion with our clever automation and AI -that's the magic of Plum! As recognition for our work, we've received awards from the likes of Deloitte, Finder, and more. That's all down to our passionate team of 200+ Plumsters, who work around Europe to help us achieve our mission. And now we're looking for more brilliant people to join us on our journey. The Role At Plum we're looking for engineers who are passionate about both technology and bringing the best product to our customers. To achieve this mission, we need technical leaders who can look beyond individual features to drive the technical strategy that accelerates our user growth and engagement. We are looking for a Staff Engineer for our First & Last Mile group, the team responsible for driving the core user lifecycle, including user Onboarding, Offboarding, Authentication, Engagement, and Subscriptions. We need a technical leader who understands how to bridge the gap between complex backend services, mobile client architecture, and business impact. You will not only have a strong technical background but also the ability to define technical roadmaps, elevate the engineering culture, and architect systems that enable rapid experimentation across our entire stack. What You Will Do Architect and design modular, scalable, and observable systems that support high-volume experimentation and user engagement flows spanning from the mobile client to backend services Drive the Cross-Platform Strategic Vision and roadmap, ensuring our architecture supports high-volume experimentation, rapid iteration and future business needs Promote Continuous Improvement by driving architectural standards, engineering best practices, and operational excellence across multiple teams. Provide guidance to and mentor Senior Engineers and other team members, fostering a culture of technical excellence and career growth. Identify root causes of systemic issues and architectural bottlenecks, determining short-term mitigations and long term strategic resolutions. Work and intervene on the whole life cycle of the software, from high level system design to deployment and post release monitoring. Partner closely with Product Managers and Data Scientists to design technical solutions that unlock new growth opportunities and optimise user funnels. What We Look For Proven track record of technical leadership, preferably in a mobile heavy or full stack capacity Experience designing and architecting systems at scale Deep experience with A/B testing frameworks, experimentation platforms, or data intensive growth loops. High level of pragmatism; you understand when to build for scale and when to optimise for speed of learning. Positive and solution oriented mindset Strong planning and prioritisation skills, with the ability to translate high level business goals into actionable technical strategies across the stack. Ability to share product insight with stakeholders, challenge product decisions with data, and act as a bridge between Engineering, Product, and Data Science. Demonstrated capacity to clearly and concisely communicate about complex technical, architectural, and/or organisational challenges to both technical and non technical executives. Experience in working within a cross functional team and collaborative environment; ability to facilitate technical decision making and resolve conflicts across teams. Self motivated and self managing, with excellent organisational skills and a focus on high leverage work. Comfortable working with both strongly and dynamically typed languages. We value your ability to architect Plum Perks Own part of the company through stock options Private health insurance Annual training budget Plum Premium Referral scheme: earn competitive rewards Flexible approach to remote working: we encourage at least 2 days a week in one of our beautiful offices in London, Athens or Cyprus Team breakfasts and team lunches. 25 days holiday + bank holidays 45 work from anywhere days: giving you the flexibility to work your way. 2 weeks sabbatical after 4 years to take the break you deserve. Enhanced parental leave 1 paid volunteering day annuallyAnnual team trip: to a surprise destination! A fun, inclusive company culture If this sounds like you, we'd love to hear from you! Thanks, Team Plum Plum is an Equal Opportunity Employer. Plum does not discriminate on the basis of race, religion, sex, gender identity, sexual orientation, non disqualifying physical or mental disability, national origin or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit and business need.

A leading tech firm in Greater London is seeking a specialist to architect automated evaluation pipelines for high-quality answers. The ideal candidate must possess a PhD or MS in a technical field and have at least 4 years of experience in data science or machine learning. You should be proficient in Python and SQL and comfortable with AWS and Databricks. This role will require you to design evaluation sets to improve overall answer quality and contribute to product changes based on evaluation metrics.

BBC Group and Public Services is seeking a Senior Data Scientist to help integrate AI tools to optimize business processes. You will evaluate emerging technologies and design solutions aligned with the BBC's values. The ideal candidate will have robust experience in data science, particularly with generative AI frameworks and a strong analytical background. This role is full-time and permanent, located in Salford, offering a salary range of £60,000 - £70,000 based on experience.

Lead Data Scientist (Model Developer) / Deep Learning Practitioner Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high impact customer insights. What you'll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritise initiatives. You will bridge the gap between ambitious R&D and tangible in market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross functionally on projects that support key business initiatives and drive sustainable growth. What we're looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices. Hands on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you'll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What's in it for you Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation. We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers). Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season ticket loans, cycle to work scheme and enhanced parental leave. Open plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head office has a fully serviced gym, subsidised restaurant, mindfulness and music rooms. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact . All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to .

Job Description As a Product Data Scientist, you'll work as part of a cross-functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You'll help define how we measure the success of our products, collaborate with engineers on how we collect data, design and help build reports/dashboards, and run analyses to find product improvement opportunities. You'll be a co owner of a product, driving it to success in partnership with other cross functional team members. Data Analytics at is a highly visible function that critically impacts the company's success. It underpins our business plans and forms the basis for how we set our company objectives. As a leader in this group, you'll have a wider support network of Analytics Engineers, Product Data Scientists, and Data Product Managers. How you'll make an impact: You'll be responsible for driving analytics of a product pillar. You'll lead a team that defines, measures, and presents metrics, delivering actionable insights. Contribute product roadmaps through data based recommendations and continuously define high impact areas for improvement. Work closely with Data Analytics Engineers and Software Engineers to make sure we collect and model the right data to produce relevant business insights. Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues. Build experiments and analysis frameworks to quantify the ROI of product development. Lead by example your team and the broader data community to apply best practices in analytics from data collection to analysis. What we're looking for: Strong communicator, able to explain complex technical topics to non technical team members. Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and data informed solutions. Excellent data interrogation skills with SQL.

AWTG Ltd. is looking for a Senior Data Scientist in Greater London to lead the development of advanced analytical and machine learning solutions. The ideal candidate will have strong experience in delivering data science solutions, particularly in Python and R, and will guide teams on data preparation and model selection. Responsibilities include designing, validating, and deploying data science models while ensuring ethical and useful outputs for clients. The role also requires strong communication skills and a good understanding of data engineering, privacy, and AI governance.

Job Description As a Senior Product Data Scientist, you'll work as part of a cross functional team alongside product managers, designers, and software and analytics engineers, using data and your expertise to influence and drive the strategy of our products. You'll help define how we measure the success of our products, collaborate with engineers on data collection, design and build reports and dashboards, and run analyses to find product improvement opportunities. You'll be a co owner of a product, driving it to success in partnership with other cross functional team members. Data analytics at is a highly visible function that critically impacts the company's success. It underpins our business plans and forms the basis for how we set our company objectives. As a leader in this group, you'll have a wider support network of analytics engineers, product data scientists, and data product managers. How you'll make an impact You'll be responsible for driving analytics of a product pillar, leading a team that defines, measures, and presents metrics and delivers actionable insights. Contribute to product roadmaps through data based recommendations and continuously define high impact areas for improvement. Work closely with data analytics engineers and software engineers to ensure we collect and model the right data to produce relevant business insights. Foster data culture across products and technology by actively sharing insights and ideas and building positive relationships with colleagues. Build experiments and analysis frameworks to quantify the ROI of product development. Lead by example your team and the broader data community to apply best practices in analytics from data collection to analysis. What We're Looking For Strong communicator, able to explain complex technical topics to non technical team members. Experience conducting experiments, building measurement frameworks, and validating the results with relevant quantitative methods. Strong analytical mind and demonstrable experience in converting ambiguous problems into structured and data informed solutions. Excellent data interrogation skills with SQL. Knowledge of applied statistics (e.g., hypothesis testing, regression).