Applied science jobs in United Kingdom

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: • Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience ., • Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems ., • Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions, • Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky, • Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches., • Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring:, • Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP, • Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t, • Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable, • Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential, • Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business, • Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential), • Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential), • Database experience, preferably SQL (essential), • Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning, • Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. As a Machine Learning Engineer you will be responsible for the improvements and maintenance of our ML Framework, supporting a team of Data Scientists to deploy a variety of Machine Learning and AI models into production. The role works closely in collaboration with Data Scientists and Engineers to follow best practises and Governance. You will need to utilise the GCP Vertex AI suite to enable automated re-training and scoring, making sure our business partners have a robust system to access scores for targeting. What you'll do • Collaborate with our Data Scientists to enable them to also work within the Framework and prepare their models for production using various components., • Act as a bridge between Data Science and Data Engineering teams, ensuring seamless integration of models into production systems, • Self-starter who can work independently to deliver improvements to the framework., • Forward looking, always seeking for new ways to improve and develop on existing processes., • Work closely with ML Engineers from other teams to share learnings and accelerate development of new featuresWhat you'll bring, • Advanced working knowledge of Vertex AI and the wider GCP ecosystem., • Great communication skills to aid the Principal Data Scientist to develop long term roadmaps and be comfortable presenting to Data leaders when needed., • Strong working knowledge of modern ML frameworks (e.g., XGBoost, Scikit-learn, TensorFlow) and experience applying them to real-world problems., • Proficiency in writing clean, maintainable, and efficient code in Python and SQL., • Solid understanding of software engineering principles, including version control (Git), testing, CI/CD pipelines, and containerization (Docker/Kubernetes).Team overview The team sits within Sky Data OTT serving machine learning models to the NOW and WOW businesses in Europe. We work to increase personalisation for our customers through content recommendations and offers. The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky: the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiencesInclusion & how you'll work: Recognised by The Times and Stonewall, we take pride in our approach to diversity and inclusion. Investing in society, fighting racial injustice and setting ambitious targets for representation at Sky. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Hybrid pattern, 2 days a week in our Osterley Campus We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Applied Science PhD Intern – AI, Search & Language Models. Are you a PhD researcher eager to apply your work to real-world, global-scale systems? This internship offers the chance to join a leading technology organisation building next-generation AI capabilities that power modern productivity and

Senior Data Scientist – Personalisation. As a Senior Data Scientist, you’ll focus on customer analytics and applied data science - using data to understand behaviour, identify opportunities, and guide strategic decisions across marketing, product, and personalising customer experience.

If you’re looking for a special place to build or grow your career, you’ve found it. Whether you’re an experienced professional, a recent college graduate or somewhere in between, IDEX is a place where you can apply your existing skills and learn new ones in an environment where you can make an impact. With interesting opportunities in engineering, marketing, sales, supply chain, operations, HR, finance, and more across more than 40 ___ around the globe, chances are, we have something special for you. JOB TITLE: Product Portfolio Manager, Pharma/Biotech REPORTING TO: Director Product Management and Marketing LOCATION: East Coast of United States or Europe About IDEX Corporation IDEX Corporation (NYSE: IEX), based in Northbrook, IL (suburb of Chicago), is a leading global manufacturer of diversified products in industries ranging across health, science, safety, fire, and fluidics. The company operates in 24 countries, IDEX is an innovative and growing company, focused on delivering excellence through diverse, winning teams. We’re a global provider of applied solutions serving a variety of markets. These include life science and medical technologies, process industry and infrastructure related applications, industrial/municipal fire, and rescue - to name just a few. IDEX Material Processing Technologies platform is a global $130M business with sites in the US, Canada, the UK, and shared facilities in India and China, producing equipment primarily used in pharma, food and vaccine production. ___ SCOPE OF ROLE • The Product Portfolio Manager, Pharma/Biotech role resides in the Product Management area within Material Processing Technologies reporting to the Director Product Management and Marketing., • The aim of product portfolio management is to coordinate and manage resources and information using business effective processes and practices in support of current and planned portfolio and product lifecycles. Central to this is the continual assessment of the current portfolio and the evidence driving development of new and relevant product solutions (hardware, software, consumables and support) that have value to both customers and company., • This global position works across the multiple brands and functions within Material Processing Technologies. Taking responsibility for the current and future product pipeline within the pharma/biotech customer vertical the role it centers around understanding of customer needs and our ability to fulfil them with current and future products, management of the relevant product portfolio strategy from concept to sunset., • This cross functional role will include strategy development, product roadmap design, product development process management, pricing, and upstream marketing value proposition and messaging as well as solid development of voice of customer process and practice., • This role may be based on the East Coast of the United States or Europe ESSENTIAL JOB FUNCTIONS • Provide product portfolio management and leadership, from concept, to commercialization, to obsolescence., • Develop long-range product strategies for future positioning, growth, and evolution of the product platform. This includes identifying, establishing and managing strategic relationships with customers, suppliers and industry opinion leaders., • Identify, qualify and define a portfolio of products that exist or is planned and any future development needs to better position our products to the pharmaceutical /biopharma vertical globally., • Analyze and incorporate impact of pharma/biotech markets, technical trends, customer needs and competitive offerings into products/product portfolio., • Develop differentiated product roadmaps, rank new product features and functionalities, and recommend investments to drive product growth., • Develop voice of customer research processes to facilitate and validate, new product definition performance requirements and tradeoffs, product value proposition and business case. Propose future product pipeline developments., • Evaluate messaging and develop value based propositions with supporting materials working with marketing., • Support current GDPs and 80’s focused sales activities within the pharma/biotech vertical., • Serve as vertical champion with internal stakeholders, regional teams, and key account team members., • Maintain close interaction with field teams through training and active participation in the sales process., • Ensure pricing framework enables field sales success by determining optimal prices, providing appropriate level of pricing/discounting, responding to competitive opportunities, and meeting profitability objectives., • Develop and deliver product training and positioning suited to the Pharma/Biotech vertical., • Champion an “8020” culture to drive alignment across functions and disciplines in support of the customer., • Manage the business based on customer needs utilizing pertinent metrics to measure business performance. KEY SKILLS: Customer Centricity • Actively seeks VOC from a variety of sources to ensure product fit for current and future developments., • Maintain an active relationship with the customer environment through field travel to key accounts and subject relating meetings and conferences. Product/ Portfolio/Solution Leadership • Is a passionate advocate for what we do, • Builds and shares a clear understanding of what we do and why across MPT stakeholders, • Excellent cross functional communication skills, • Ability to engage and influence across the organization, • Problem solver, • Ability to identify business and product risks and offer mitigation strategies, • Effective collaboration as part of or leading a team. Business Skills • Understands key financial metrics and their importance, • Ability to build a product roadmap based on sound assessment structure, • Engage with relevant stakeholders to build an effective Go-To-Market strategy and plan, • Stakeholder management, • Data analysis and ability to convey meaning simply, • Presentation skills, • Ability to take well considered but tough decisions and stand by outcome Relevant Product Knowledge • Technical understanding of core elements of the pharmaceutical manufacturing and applications, • A clear understanding of competitors supplying this space, • Can create information and guidance on products and positioning to train and support commercial and marketing teams REQUIRED EXPERIENCE AND QUALIFICATIONS: • A Bachelor of Science degree in mechanical engineering, molecular biology, chemistry, or related discipline., • A minimum of 6+ years of experience in product management of equipment supplied to the pharmaceutical manufacturing industry., • Experience in working successfully in a matrixed global organizational structure and across functions., • Up to 30% travel, domestic and international, required DESIRED EXPERIENCE: • Master degree in Life Science or equivalent, • Commercial sales experience in the sale of equipment to the pharmaceutical manufacturing environment Are you ready to join a different kind of company where our people, our culture, and our commitments are centered around providing trusted solutions that improve lives around the world? IDEX is an Equal Opportunity Employer. IDEX gives consideration for employment to qualified applicants without regard to race, color, religion, creed, genetic information, sex, sexual orientation, gender identity or expression, marital status, age, national origin, disability, protected veteran status, or any other consideration or protected category made unlawful by federal, state or local laws. Attention Applicants: If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process, please let us know. Likewise, if you are limited in the ability to access or use this online application process and need an alternative method for applying, we will determine an alternate way for you to apply. Please contact our Talent Acquisition Team at for assistance with an accommodation. These contact tools may be used only by individuals with a disability for accommodation requests. Do not inquire as to the status of an application.

At the forefront of innovation in sport and exercise sciences since 1975, the School of Sport and Exercise Science is proud to celebrate our 50th anniversary in 2025. Over the past five decades, we've grown from the world's first sports science degree to a leading institution for teaching, research,

At the forefront of innovation in sport and exercise sciences since 1975, the School of Sport and Exercise Sciences is proud to celebrate our 50th anniversary in 2025. Over the past five decades, we've grown from the world's first sports science degree to a leading institution for teaching, research

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We are looking for a versatile Senior Applied Data Scientist to join our EMEA Hub - a dynamic team who support various internal teams and client projects across sectors. This role is ideal for someone who thrives in a fast-paced, collaborative environment and can confidently interpret client briefs to shape analytical approaches and deliver impactful insights. You'll be working on a range of projects, including those for major retailers like Tesco and their suppliers (CPGs), and will need to adapt quickly to different client needs. The role requires a strong foundation in analytical techniques, the ability to present findings to clients, and a generalist mindset rather than deep specialism. What we expect from you • Lead and support analytical projects across multiple clients and sectors, • Translate client briefs into structured analytical approaches, • Apply a range of data science techniques to solve business problems, • Communicate insights clearly to both technical and non-technical stakeholders, • Collaborate with other analysts in the EMEA Hub to fill resource gaps and share expertise, • Proficiency in Python and SQL, • Experience analysing customer behaviour and deriving actionable insights, • Ability to learn quickly and adapt to new challenges, • Strong communication and presentation skills, • A degree in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field would be advantageous, • Experience with PySpark is a plus, • Exposure to retail or consumer goods analytics is beneficial What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. We're looking for a Category Management Senior Client Lead who expects more from their career. It's a chance to extend and improve dunnhumby's Category Management team. It's an opportunity to work with a market-leading business to explore new opportunities for us and influence global retailers. Joining our Category Management team, you'll work with world-class and passionate people to bring the customer to the forefront of Space, Range, and Merchandising (SRM) decisions made at Tesco. Externally, you will lead the delivery of range recommendations to commercial teams at Tesco and work with SRM on key strategic projects, while internally, you will lead projects in partnership with Applied and Research data scientists to develop our science and build new solutions for Tesco, feeding requirements, managing work plans, providing feedback, and aligning with Tesco. What we expect from you • Experience in leading the delivery of projects that involve multiple stakeholders and complex questions, • Experience in building client relationships and managing stakeholders, • Experience in embedding customer solutions into your client's decision-making, • Experience in an FMCG retailer, supplier, or consultancy, • Commercial acumen to identify opportunities for our client and dunnhumby, • Ability to look at data critically, interpret it, and present insights and actions to clients, • Category Management experience is desirable, but not essential, • Advanced Excel skills are desirable, but not essential What you can expect from us We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

Overview Join RSSB as a Risk and Safety Intelligence Analyst and make a real impact on rail safety across Great Britain. As a Risk and Safety Intelligence Analyst, you will work alongside other analysts, health and safety professionals and technical specialists, applying your analysis skills to generate insights from data and support safety improvement across the GB rail industry. Through this you will help deliver the Rail Health and Safety Strategy and strengthen RSSB's position as a centre of excellence in risk management, analysis and data-driven insights. This is a permanent role based at the RSSB office in Fenchurch Avenue with hybrid working. In-office days will be based in the City of London, supported by a commuting travel subsidy benefit. The closing date for this role is 11th December 2025. Candidates will be contacted before the closing date, so early application is encouraged. Interviews will take place W/C 15th December. Responsibilities You will undertake a program of work to support delivery of the Rail Health and Safety Strategy, which describes how companies across the industry will work together to tackle key risks. This will include the following; • Provide health and safety analysis for GB rail, using data to find actionable insights and help our members understand issues and opportunities., • Supporting new ways to automate industry reporting and analysis., • Undertake safety risk modelling to help the development of RSSB models, including the Safety Risk Model, and utilizing these models to undertake quantified risk assessment., • Engage with rail operators to help understand, monitor and improve the consistency of safety event reporting across GB rail. Essential: • Possess analysis skills built on:, • Technical foundations gained through a degree in mathematics, science, engineering or a related discipline or through the equivalent experience., • Practical work based experience of applying analytical skills to real-life challenges., • An inquisitive mindset and an ability to quickly understand complex information and apply analytical thinking and problem-solving skills., • Ability to turn complex concepts into simple language through individual research and learning., • Communicate effectively and share thoughts and ideas through methods appropriate to the, • Adapt and respond effectively when embracing new opportunities, change and in navigating, • Actively contribute as part of a team and work towards achieving team goals and, • Take responsibility and demonstrate accountability in completing tasks and achieving objectives, actively seeking to resolve problems and identify opportunities., • Committed to customer service and placing customer satisfaction at the heart of our success to ensure we deliver against our shared goals., • Build effective professional relationships with stakeholders, understanding their unique goals and motivations, gaining credibility and effectively influencing to achieve desired outcomes.Desirable:, • Experience of working in Microsoft Excel, SQL and Power BI, and programming experience, ideally with Python., • 30 days annual leave (plus bank holidays), • Private medical and dental cover, • Flexible and hybrid working options, • Season ticket loan and travel subsidy, • Cycle to work scheme, • Volunteer leave, • Performance-related bonus, • Pension scheme, • Learning and development opportunitiesReady to Apply? Apply now and help us make rail travel safer for everyone. We value diversity and equal opportunities in employment and are committed to creating a workplace which is inclusive to everyone. As a member of the Disability Confident Scheme, we encourage candidates with disabilities who meet the minimum criteria, to apply for our jobs. If you have applied under the Disability Confident Scheme, please let us know in advance by emailing Find out more about Diversity and Inclusion at RSSB: Rail Safety and Standards Board Careers - VERCIDA If you require any reasonable adjustments with respect to our selection process including information in an alternative format, please contact us at We understand the importance of work-life balance and we offer our staff the flexibility to work within our core hours and the option to vary their location between both the office and home. If you are looking for further flexibility, speak to us at interview stage so that we can consider your request.

School of Computer Sci. & Digital Tech. Location: Aston London Salary: £38,784 to £46,049 per annum Grade: Grade 08 Contract Type: Permanent Basis: Full Time Closing Date: 23.59 hours GMT on Monday 15 December 2025 Interview Date: Monday 19 January 2026 Reference: 1271-25 Release Date: Monday 01 December 2025 The Aston School of Computer Science and Digital Technologies is looking for a teaching associate in computer science to support teaching in our London Campus. The teaching associates will be leading and delivering modules on our MSc Computer Science, MSc Artificial Intelligence and MSc Data Science programmes. The Computer Science programme is focused on software engineering, with modules in Software Engineering, Software Project Management, Data Structures and Algorithms and Data Base Systems. The Artificial Intelligence and Data Science Programmes has modules in Natural Language Processing, Applied Machine Learning, Neural Networks and Deep Learning as well as Machine Learning for AI and Data Science and Bayesian Theory and Data Analysis. We are looking for an associate able collectively to cover the different modules on the programmes, mainly around AI and Data Science, as well as supporting others in their practice. The position will be based at the Aston University London Campus but will be expected to work closely with colleagues within the school to ensure a consistent practice and student experience across the two campuses. For more information on our new London Hub campus, please click here - Aston University launches London hub to shape future leaders in technology and business | Aston University London weighting is applicable only to successful candidates who live in London. The salary being offered for this role is below the minimum threshold for required to sponsor new applicants to the Skilled Worker route. However, Aston University may be able to sponsor the successful candidate if they: • Are under 26 years old, • Hold a PhD that is relevant to the role, • Have held a Student or Graduate visa in the last 2 years, • Are already in the UK with a Tier 2 or Skilled Worker visa issued before April 4th 2024 Please contact if you would like to discuss your eligibility for Skilled Worker sponsorship. For informal enquiries, please contact Professor Damien Foster, Head of the School of Computer Science and Digital Technologies. Initial interviews will be conducted online and will include a teaching presentation. Interview date: TBC Further details: Job Details University Information Email details to a friend Apply Online The University celebrates the rights of freedom of speech and academic freedom and is committed to maintaining and protecting these rights within the law. An offer to work at Aston University will never be denied on the basis of an individual's lawful expression of their beliefs, ideas or opinions. Aston University is an equal opportunities employer and welcomes applications from all sections of the community. It promotes equality and diversity in all aspects of its work. We strive to have robust inclusivity strategies in place, to encourage colleagues to have the confidence and freedom to be themselves in the workplace. For more information, visit: Guidance on AI-Assisted Applications While we cannot prevent applicants from using AI tools to support their application, we ask that all submissions reflect your own experience, achievements, and motivations. We want to understand what you personally bring to the role, so please ensure your application represents your own voice and capabilities. We recognise the value of flexible working. Please contact the recruiting manager to discuss what flexible working options are available for particular roles. If you require the job details document or an application form in an alternative format please contact the recruitment team at

Overview As a Digital Support Specialist, you will deliver high-quality support for systems, platforms, and digital services used across RSSB and by external rail industry stakeholders. You'll provide first- and second-line support, balancing user-focused troubleshooting with system and application administration to ensure a seamless experience for internal and external users. This role combines a broad technical skillset with a service-oriented mindset. You'll support end-user devices and infrastructure, as well as enterprise platforms such as Microsoft 365, Entra ID, and Dynamics 365. You'll also manage onboarding and offboarding processes, device and access administration, and collaboration tools like Teams and SharePoint. The successful candidate will proactively manage service desk requests, identify recurring issues, and drive continuous improvement through collaboration with colleagues, suppliers, and the wider Digital team. This is a 12 month fixed term role based at the RSSB office in Fenchurch Avenue with hybrid working. In-office days will be based in the City of London, supported by a commuting travel subsidy benefit. The close date for the role is 7th December 2025. Responsibilities What you'll do: • Provide first- and second-line technical support to both internal and external users across hardware, software, applications, and digital services via the service desk, phone, and in-person support., • Support external users of RSSB's public-facing or industry-specific applications, assisting with account management, system navigation, and technical troubleshooting., • Deliver effective support for Microsoft 365 services, including Outlook, Teams, SharePoint, OneDrive, and associated collaboration tools, ensuring prompt resolution of access, configuration, and performance issues., • Administer and maintain user accounts, permissions, and security groups across Entra ID (Azure Active Directory), Microsoft 365, including Teams and Exchange, as well as internal and external digital platforms, in accordance with access control policies., • Package, test, and release new applications or system updates into production following approved deployment processes., • Provide technical support for meetings and events, including AV setups, hybrid meeting tools, and live-streaming technologies., • Manage and troubleshoot corporate devices (e.g., laptops, tablets, phones), deploying configurations and applications using Microsoft Intune or equivalent mobile device management (MDM) solutions., • Facilitate onboarding and offboarding processes, including device setup, user provisioning, and decommissioning or redeployment of IT assets., • Support asset lifecycle management, including maintenance and compliance with device policies and regulations., • Promote and implement best practices for device security, ensuring endpoint protection, data encryption, and policy compliance., • Identify trends and recurring issues in incidents and service requests to inform problem management processes and propose permanent solutions.Full role details can be found in the job description here: Digital Support Specialist JD. Qualifications What we're looking for: • Industry-recognised certifications or demonstrable experience in a relevant field (e.g. Computer Science, CompTIA, Microsoft certifications)., • Practical experience with the ITIL framework, particularly incident, problem, and change management., • Proven track record of providing first- and second-line application support and technical troubleshooting, including support for internal and external users., • Experience administering and supporting Microsoft 365 applications (Outlook, SharePoint, Teams, OneDrive), including user access, permissions, and configuration., • Experience with Entra ID (Azure Active Directory), including user provisioning and managing security groups., • Proficient in managing devices using Microsoft Intune or equivalent Mobile Device Management (MDM) tools., • Experience with hardware support and rebuilds (laptops, peripherals, AV equipment), including device commissioning and redeployment., • Experience supporting hybrid work environments, including AV and live-streaming solutions., • Familiarity with external-facing platforms or applications, providing support to users outside the organisation., • Ability to create and maintain technical documentation, as well as contribute to a shared knowledge base., • Communicates effectively and shares thoughts and ideas through methods appropriate to the audience., • Adapts and responds positively when embracing new opportunities, changing, and navigating uncertainty., • Actively contributes as part of a team and works towards achieving team goals and outcomes.Desirable, • Experience with Dynamics 365 support and integration with M365, where applicable., • 30 days annual leave (plus bank holidays), • Private medical and dental cover, • Flexible and hybrid working options, • Season ticket loan and travel subsidy, • Cycle to work scheme, • Volunteer leave, • Performance-related bonus, • Pension scheme, • Learning and development opportunitiesReady to Apply? Apply now and help us shape the future of railway standards. We value diversity and equal opportunities in employment and are committed to creating a workplace which is inclusive to everyone. As a member of the Disability Confident Scheme, we encourage candidates with disabilities who meet the minimum criteria, to apply for our jobs. If you have applied under the Disability Confident Scheme, please let us know in advance by emailing Find out more about Diversity and Inclusion at RSSB: Rail Safety and Standards Board Careers - VERCIDA If you require any reasonable adjustments with respect to our selection process including information in an alternative format, please contact us at We understand the importance of work-life balance, and we offer our staff the flexibility to work within our core hours and the option to vary their location between both the office and home. If you are looking for further flexibility, speak to us at interview stage so that we can consider your request.

Overview Join RSSB as Principal Data Scientist and lead the delivery of AI and machine learning solutions that make a real impact across the rail industry. In this senior role, you'll identify high-value opportunities, engage stakeholders, and ensure our digital products solve real-world challenges. You'll mentor and develop the team, champion best practices, and represent RSSB's Data Science and AI capability across the sector. You'll drive innovation by introducing new tools and frameworks, inspiring a culture of continuous improvement and experimentation. Success will be measured by the delivery of high-impact solutions, stakeholder satisfaction, and the growth of the team. This is a permanent role based at the RSSB office in Fenchurch Avenue with hybrid working. In-office days will be based in the City of London, supported by a commuting travel subsidy benefit. The close date for the role is 11th December 2025. Responsibilities What you'll do: • Promote RSSB's Data Science and AI capabilities internally and externally, positioning the team as a trusted partner and thought leader., • Identify and prioritise opportunities for AI enabled digital solutions by engaging with both external partners and internal subject matter experts., • Lead the team in navigating complex, ambiguous, and novel challenges, making informed decisions in situations with incomplete information., • Drive the development and delivery of Machine Learning (ML) and AI solutions, acting as technical lead and ensuring alignment with business objectives., • Foster a culture of adaptability and resilience, ensuring the team thrives in a rapidly evolving environment. Full role details can be found in the job description here: Principal Data Scientist JD What we're looking for: • Strong practical experience in stakeholder engagement to understand pain points and resolve them using data and advanced analytics., • Strong experience developing production ML (and AI) solutions in Python, using code repositories., • Strong experience deploying, testing, and monitoring ML solutions., • Strong experience leading development teams using Agile methodologies and tools., • Experience working with subject matter experts to refine analyses and interpret insights., • Experience collaborating with architects, data engineers, and web developers to deliver cloud-based tools., • Experience managing and mentoring less experienced colleagues, providing guidance on development activities and upskilling in technical and soft skills., • Effective communication skills, with the ability to explain complex ideas to diverse audiences., • Ability to adapt and respond effectively to new opportunities, change, and uncertainty., • Commitment to customer service and delivering outcomes that meet stakeholder needs., • Inclusive leadership style, with a focus on developing and retaining talent and ensuring all voices are heard., • Experience managing teams to budgets and project timelines., • 30 days annual leave (plus bank holidays), • Private medical and dental cover, • Flexible and hybrid working options, • Season ticket loan and travel subsidy, • Cycle to work scheme, • Volunteer leave, • Performance-related bonus, • Pension scheme, • Learning and development opportunitiesReady to Apply? Apply now and help us shape the future of railway standards. We value diversity and equal opportunities in employment and are committed to creating a workplace which is inclusive to everyone. As a member of the Disability Confident Scheme, we encourage candidates with disabilities who meet the minimum criteria, to apply for our jobs. If you have applied under the Disability Confident Scheme, please let us know in advance by emailing Find out more about Diversity and Inclusion at RSSB: Rail Safety and Standards Board Careers - VERCIDA If you require any reasonable adjustments with respect to our selection process including information in an alternative format, please contact us at We understand the importance of work-life balance, and we offer our staff the flexibility to work within our core hours and the option to vary their location between both the office and home. If you are looking for further flexibility, speak to us at interview stage so that we can consider your request.

We believe in better. And we make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, SkyQ to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Data Science practice at Sky Data science is at the heart of decision making in Sky and drives a majority of decisions across marketing, customer interactions and customer services at Sky. In the Advanced Analytics team, w e are scaling up our data science practice to transform how we manage customers across all life cycles for both experience profitability. We have built and successfully deployed intelligence into Sky and are already delivering realisable value into the business. We gather a very large amount of data on customer behaviours and interactions and are looking for data scientists to extra ct value from our data assets and maximise customer value. What you'll do: • Producing high quality, actionable insights through advanced analytics and cutting-edge predictive algorithms : work as a self-starter and be actively curious about what numbers are telling us and how they can be actioned upon to improve our customer experience ., • Designing and implementing innovative and commercially led data science and insights roadmaps with stakeholders (marketing, retention, service, finance) to improve the way they make decisions: hypotheses-led problem solving to deliver solutions to business problems ., • Engage with our technology teams and data engineers to build compliant, efficient and scalable solutions, • Strengthen our internal data science capabilities by continuously innovating and driving new ideas, building technology partnerships with our vendors, training and developing our people and creating a world class data science team at Sky, • Engage with key stakeholders (marketing, retention, service, finance) to understand business objectives and support these objectives through best use of advanced analytics approaches., • Responsible for identifying the best analytical techniques, developing the solution, creating a fram ework for testing the solution and measuring the incremental value to the business from the solution What you'll bring:, • Expertise in multiple advanced analytical areas including Forecasting, Predictive Modelling, Optimisation, Clustering or NLP, • Experience building and deploying advanced analytics solutions in a large scale (preferably B2C) cloud environmen t, • Experience in deploying commercially viable applications using deep learning techniques combining structured and unstructured data is highly desirable, • Ability to quickly understand a business objective, problem solving to create an analytical solution and develop a solution alongside stakeholder s are essential, • Commercial knowledge and applications of data science to drive commercial value is a must - everything we do drives value into the business, • Proven expertise in leading the development and deployment of big data solutions on Cloud platforms (essential), • Programming for modelling and/or data analysis e.g. Python, Tensorflow (essential), • Database experience, preferably SQL (essential), • Expertise in cutting-edge AI methodologies, including Generative AI and Reinforcement Learning, • Machine learning - Supervised/unsupervised learning, regression, decision trees, random forests, boosting, clustering (essential) The rewards There's one thing people can't stop talking about when it comes to #LifeAtSky : the perks. Here's a taster: • Sky Q, for the TV you love all in one place, • The magic of Sky Glass at an exclusive rate, • A generous pension package, • Private healthcare, • Discounted mobile and broadband, • A wide range of Sky VIP rewards and experiences Inclusion & how you'll work We are a Disability Confident Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all, and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need to your recruiter as early as you can. We've embraced hybrid working and split our time between unique office spaces and the convenience of working from home. You'll find out more about what hybrid working looks like for your role later on in the recruitment process. Your office space: Osterley: Our Osterley Campus is a 10-minute walk from Syon Lane train station. Or you can hop on one of our free shuttle buses that run to and from Osterley, Gunnersbury, Ealing Broadway and South Ealing tube stations. There's also plenty of bike shelters and showers. On campus, you'll find 13 subsidised restaurants, cafes, and a Waitrose. You can keep in shape at our subsidised gym, catch the latest shows and movies at our cinema, get your car washed and even get pampered at our beauty salon. We'd love to hear from you Inventive, forward-thinking minds come together to work in Tech, Product and Data at Sky. It's a place where you can explore what if, how far, and what next. But better doesn't stop at what we do, it's how we do it, too. We embrace each other's differences. We support our community and contribute to a sustainable future for our business and the planet. If you believe in better, we'll back you all the way. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer.

Description The Asset Risk Senior Risk Modeller role sits in the Asset Risk Function, which has the responsibility for forecasting Motability Operation's key financial risks, including Residual Value and SMR, Insurance Lease Pricing, Economic Capital, as well as producing the customer pricing. This role sits in the Asset Risk Modelling Team, operating in a matrix way of working, responsible delivering a strong model risk management framework, and ensuring all forecast models are robustly implemented, operated, enhanced and developed in conjunction with joint ownership for the outcomes and outputs with business SME's. Reporting into the Asset Risk Modelling Manager, the role has the following key responsibilities You will proactively support and inform the delivery of the Asset Risk strategy in alignment with the needs of the wider business strategy You will work with the Modelling Manager to oversee the operational delivery of the model risk management framework in Asset Risk, ensuring model health, reporting, processing, auditing and reporting requirements are met and provide steer and challenge to ensure improvements are approved and delivered You will take the lead and proactively engage with the critical thinking and operational activity needed for the accurate and timely delivery of the critical BAU requirements for all key models associated with residual value forecasting, maintenance spend, insurance, customer pricing, and economic capital You will maintain a deep understanding of, and be responsible for the challenging of, the model components - design principles, use of data, assumptions, applied statistical and modelling techniques - for the BAU models, helping to create and deliver the effective communication required to bridge the gap between the models and Asset Risk deliverables You will take the lead and proactively engage with the critical thinking and activity required to deliver the strategic projects from the Modelling team, ensuring all deliverables and outcomes are jointly owned with business SME's You will work with the Modelling Lead to ensure the Modelling Team are as engaged with explaining and owning the outputs and outcomes as they are with operating and developing our models, and with the equivalent engagement from non-modelling teams You will proactively challenge the way we work, and feed into the Asset Risk Strategy roadmap, and support in ad hoc queries where possible You will form collaborative relationships to ensure the Model Team deliverables (BAU and strategic projects) are effectively managed and delivered in line with a matrix way of working approach across the Asset Risk Operational Teams and fellow Asset Risk output owners You will play a pivotal role in ensuring the AR Operational Teams (Programme, Product, Modelling and Data) work closely with each other to support on cross over areas (e.g. tools) and reduce the opportunity for knowledge gaps You will be an effective coach and mentor for the wider Modelling Team, working with the Modelling Manager to ensure the team and individuals have the right skills and development paths to meet the needs of the business. You will be an advocate for Asset Risk, and work with colleagues around the business to promote best practices and skills & knowledge sharing. You will develop collaborative and enduring relationships with the Asset Risk and wider business leadership teams, relevant stakeholders, and be an advocate for Asset Risk and our ways of working You will proactively work with the Modelling Lead to engage with relevant 3rd parties (industry bodies, commentators and experts) to ensure Asset Risk activities are appropriately aligned with external best practice. Qualifications Planning: Ability to coordinate multiple stakeholders, colleagues and deadlines Modelling: Ability to understand, operate, and explain complex models Accuracy & attention to detail: Ensuring accuracy in models and forecasts. Problem solving skills: Ability to develop solutions for complex financial problems. Communication skills: Can explain technical concepts to non-technical stakeholders. Commercial awareness: Can understand the business environment, market trends, and the financial impact of decisions to align models with the organisation's strategic goals. Minimum criteria You'll need all of these. A degree (Bachelor's or Masters) in Statistics, Mathematics, Economics, Data Science, or a related field Experience in forecasting, data analysis, or a related field Experience of delivering complex model updates (operational and development) with the effective communication of model outcomes Proven experience with statistical software (e.g., R, Python, SAS) and forecasting tools Experience managing complex projects and coaching analysts Desirable criteria Experience in the specific industry relevant to the forecasting role (e.g., finance, retail, manufacturing) is highly valuable Experience with advanced analytical techniques, including machine learning and predictive modelling Benefits Motability Operations is a unique organisation, virtually one of a kind. We combine a strong sense of purpose with a real commercial edge to ensure we provide the best possible worry-free mobility solutions to over 815,000 customers and their families across the UK. Customers exchange their higher rate mobility allowance to lease a range of affordable vehicles (cars, wheelchair accessible vehicles, scooters, and powered wheelchairs) with insurance, maintenance and breakdown assistance included. We are the largest car fleet operator in the UK (purchasing around 10% of all the new cars sold in the UK) and work with a network of around 5,000 car dealers and all the major manufacturers. We pride ourselves on delivering outstanding customer service, achieving an independently verified customer satisfaction rating of 9.8 out of 10. Our values are at the heart of everything we do. They represent ambition, and we look for our people to live and breathe them every day: We find solutions We drive change We care We operate hybrid working across the organisation where we split our time between working on-site at our offices, and at home, remotely within the UK. We believe hybrid working achieves a good work/life balance for our colleagues, allowing us to connect with each other, collaborate on important work, and perform together to deliver for our customers. It allows us to have the flexibility to work remotely up to 2-days per week whilst also using the great office spaces we have available. As a Motability Operations team member, the benefits you can expect are: Competitive reward package including an annual discretionary bonus 15% non-contributory pension (9% non-contributory pension during probation period) 28 days annual leave with option to purchase and sell days Free fresh fruit and snacks in the office 1 day for volunteering Funded Private Medical Insurance cover Electric/Hybrid Car Salary Sacrifice Scheme and Cycle to Work Scheme Life assurance at 4 times your basic salary to give you a peace of mind that your loved ones will receive some financial help Funded health screening for over 50s Voluntary benefits: charitable giving, critical illness insurance, dental insurance, health and cancer screenings for you and your partner, discounted gym memberships and season ticket loans Employee Discount Scheme with an app to save on the go Free access to healthcare apps such as Peppy, Unmind, Aviva Digital GP and volunteering app on Hand for all employees Generous family leave policies At Motability Operations, we believe in building a diverse workforce, where our people are empowered to attend work as their true selves, and we encourage people from all backgrounds to apply. We want to sustain a culture that nurtures, where employees are free to flourish and where they're rewarded equally, regardless of race, nationality or ethnic origin, sexual orientation, age, disability, or gender. We pride ourselves on being an inclusive employer and as such, all our offices provide first rate disability access. With our hybrid working environment, we do our best to accommodate part-time and flexible working requests where possible, building on our culture of trust, empowerment, and flexibility. TPBN1_UKTJ

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Expedia Group’s Search AI team is at the forefront of transforming how millions of travelers discover and book their journeys. As part of Expedia Product & Technology, we build intelligent systems that power search and ranking experiences across our global platform. We are now seeking a Machine Learning Scientist III to help shape the future of travel search by applying cutting-edge machine learning techniques, including Large Language Models (LLMs) and Generative AI, to solve complex, high-impact problems. This is a unique opportunity to work on high-visibility projects that directly influence the experience of millions of users. You’ll collaborate with a diverse group of engineers, analysts, and product managers to design, build, and deploy scalable ML solutions that personalize and optimize search results across Expedia’s brands. In this role, you will: • Research, design, and implement advanced ML and GenAI models for large-scale ranking and personalization., • Build, test, deploy, and iterate on ML models in production with measurable impact, validated by robust experimentation (A/B tests and online metrics)., • Combine state-of-the-art ML (deep learning, representation learning) with proven approaches (learning to rank, collaborative filtering)., • Collaborate cross-functionally with engineers, data analysts, and product partners to deliver robust, scalable, and impactful solutions., • Stay abreast of advances in ML, GenAI, and academic research to infuse innovation. Technologies and tools you will use and own: • PyTorch & TensorFlow: for large-scale development and training of deep learning models., • Spark/Distributed Systems: for large data processing and model training at scale., • A/B Experimentation Platforms: design, monitor, and analyze online experiments., • Cloud ML Pipelines and Tools: to efficiently deploy, monitor, and iterate on models in production. Minimum Qualifications: • PhD in Computer Science, Engineering, Statistics, Math, or related., • 4+ years of applied Machine Learning experience with end-to-end model lifecycle., • High proficiency in Python and at least one major ML framework (PyTorch, TensorFlow)., • Strong foundation in ML, statistics, ranking algorithms, and online experimentation. Preferred Qualifications: • Experience with ranking/recommender systems at scale., • Deep understanding of recent LLM and generative AI architectures with experience fine-tuning and deploying them., • Experience processing large-scale data via distributed systems (Spark, Hadoop, etc.)., • Excellent communication and collaboration across engineering, analytics, and product teams., • Track record of impact through production ML systems and/or peer-reviewed publications. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the ___. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is ___. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

As our Managing Director, you'll be our gateway to the world: an experienced navigator of large organisations and a champion for the value of applied behavioural science.

dunnhumby is the global leader in Customer Data Science, empowering businesses everywhere to compete and thrive in the modern data-driven economy. We always put the Customer First. Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First. dunnhumby employs nearly 2,500 experts in offices throughout Europe, Asia, Africa, and the Americas working for transformative, iconic brands such as Tesco, Coca-Cola, Meijer, Procter & Gamble and Metro. Most companies try to meet expectations, dunnhumby exists to defy them. Using big data, deep expertise and AI-driven platforms to decode the 21 st century human experience - then redefine it in meaningful and surprising ways that put customers first. Across digital, mobile and retail. We're looking for an Applied Data Scientist who expects more from their career. It's a chance to apply your expertise to distil complex problems into compelling insights using the best of human creativity to deliver effective and impactful solutions for clients. Joining our advanced data science team, you'll investigate, develop, implement and deploy a range of complex applications and components while working alongside experienced and like-minded colleagues, challenging and rewriting the rules, not just following them. What we expect from you We're seeking a highly skilled and motivated individual who brings a strong blend of technical expertise, analytical thinking and client-facing confidence. The ideal candidate will demonstrate the following: • Advanced Analytical and Consulting Expertise: A proven background in applying analytical techniques to solve complex business problems, ideally within a consulting or commercial environment. You should be comfortable translating data into actionable insights and influencing decision-making at various levels., • Proficiency in Python and PySpark: Strong programming skills with hands-on experience in Python and PySpark, enabling you to build scalable data solutions and perform advanced data manipulation and analysis., • Dashboard Development in Power BI: Experience designing and building intuitive, impactful dashboards in Power BI to communicate insights effectively to stakeholders. We won't just meet your expectations. We'll defy them. So you'll enjoy the comprehensive rewards package you'd expect from a leading technology company. But also, a degree of personal flexibility you might not expect. Plus, thoughtful perks, like flexible working hours and your birthday off. You'll also benefit from an investment in cutting-edge technology that reflects our global ambition. But with a nimble, small-business feel that gives you the freedom to play, experiment and learn. And we don't just talk about diversity and inclusion. We live it every day - with thriving networks including dh Gender Equality Network, dh Proud, dh Family, dh One, dh Enabled and dh Thrive as the living proof. We want everyone to have the opportunity to shine and perform at your best throughout our recruitment process. Please let us know how we can make this process work best for you. Our approach to Flexible Working At dunnhumby, we value and respect difference and are committed to building an inclusive culture by creating an environment where you can balance a successful career with your commitments and interests outside of work. We believe that you will do your best at work if you have a work / life balance. Some roles lend themselves to flexible options more than others, so if this is important to you please raise this with your recruiter, as we are open to discussing agile working opportunities during the hiring process. For further information about how we collect and use your personal information please see our Privacy Notice which can be found (here)

You will support the sustainability function by gathering, cleaning, analysing, and presenting emissions and sustainability-related data across global events. This role is central to building the organisation’s measurement capability for strategic sustainability planning, business case development, and leadership reporting. Key Responsibilities • Collect activity data (energy, waste, travel) from suppliers, venues, and event teams worldwide, • Maintain and clean a central sustainability database, • Generate emissions reports for events, • Convert raw data into usable dashboards, insights, and intensity metrics (e.g., emissions per attendee, per sqm), • Track data requests, manage deadlines and follow-upsCollaborate with multiple stakeholders to ensure data completeness and integrity Ideal Candidate Profile You are a highly organised, proactive graduate or early-career analyst who is curious about data, keen on structured problem-solving, and motivated by sustainability. You enjoy research and are comfortable working with numbers and messy datasets. Required Skills & Experience • Degree in sustainability, environmental science, data analytics, geography, economics or a related field, • Some experience in data analysis (academic or project-based), • Basic to intermediate familiarity with Power BI (dashboard creation, simple modelling), • Strong Excel skills and experience in cleaning and tracking data, • Understanding of key sustainability themes (e.g., UN SDGs), • Excellent stakeholder engagement, communication, and organisational skills Key Competencies • Reliable and disciplined with good follow-through, • Comfortable managing inconsistent data and getting it to audit-ready quality, • Able to present data clearly and flag risks when needed, • Self-starter who takes initiative, • Collaborative, but also able to work independently Culture Fit You are methodical and find satisfaction in bringing order to unstructured data. You thrive in a role where you support strategic decision-making, even if your work is mostly tactical. You’re passionate about sustainability and want to contribute meaningfully to emissions reporting. This is a hands-on role with a strong tactical focus. We don’t expect prior strategic sustainability experience — what matters most is your interest, discipline, and analytical mindset. Candidates with research experience, internships, Power BI training, or applied analytics in their studies will stand out. Please apply with your CV (graduate-level only).

Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. Contribute to proposals for exciting new data science op

At UnlikelyAI, we’re looking for a Senior Applied Scientist to join our Applied Science team. Collaborate with a team of scientists and engineers, articulating complex ideas clearly to technical and non-technical audiences. Capable of working collaboratively and proactively in a fast-paced environ

Research Leadership: Drive advanced research in applied science, staying at the forefront of emerging methods and translating them into business impact. Senior Vice President, Technology & Applied Science - EMEA. Senior Vice President, Technology & Applied Science - EMEA.

We’ll look to you to build your understanding of internal audit methods and develop further our behavioural risk audit capability, tooling, partnerships, and practices. This varied role will see you shaping the strategy of our Behavioural Risk team, focussing on driving the adoption of empirical s

Lead grow and support a world‑class multi‑disciplinary data team across data science applied ML / AI and knowledge engineering. Proven experience leading multi‑disciplinary teams at scale (10 people across data science ML engineering knowledge graph / ontology and AI). We combine data analytic

Experience of successfully leading complex frontend projects, including a holistic understanding of the software development process, from design through to deployment, and associated project management and risks. Sign in to set job alerts for “Frontend Developer” roles. Provide direction and me

Get notified about new Head of Data Science jobs in. HEAD OF DATA SCIENCE – CREDIT RISK. RC317 - Head of Applied Data Science & Strategy.

Pearson Level 3 Alternative Academic Qualification BTEC National in Early Childhood Development. Pearson Level 3 Alternative Academic Qualification BTEC National in Medical Science. Pearson Level 3 Alternative Academic Qualification BTEC National in Applied Science.

As an Applied Research Scientist in AI, you will take a lead role in addressing the most important challenges in RNA science. Proven track record of high-quality research, as demonstrated by publications in leading journals or conferences. Passion to advance research that contributes directly to tre

We are looking for a Quant Researcher with a PhD in Particle Physics, Applied Mathematics, Computer Science, Statistics, Engineering, or a similarly quantitative field. PhD in a quantitative field (Particle Physics strongly preferred).

Applied data science for commercial outcomes – Skilled in using statistical techniques, experimentation, and behavioural data to answer complex business questions and guide commercial decision-making. Empower data-driven decisions – Elevate our reporting and dashboard capabilities, establishing

Learning Support Assistant (Science Chemistry & Physics) Kensington & Chelsea Immediate Start! A fantastic opportunity has arisen for a dedicated and enthusiastic Science Graduate to join a successful and forward-thinking sixth form college in Kensington & Chelsea as a Learning Support Assistant specialising in Chemistry and Physics . This full-time, immediate-start position is ideal for a graduate who is passionate about science and eager to support the next generation of STEM learners within a dynamic educational setting. In this role, you will provide targeted academic, classroom and pastoral support to students studying A-Level Science and Level 3 Applied Science pathways , focusing particularly on Chemistry and Physics. Working alongside experienced subject teachers, you will help students grasp complex theoretical ideas, develop essential practical skills and build confidence in both independent and group learning environments. Your strong scientific background will allow you to break down challenging content, guide students through laboratory tasks and support them with coursework, revision and exam preparation. You will also play a key role in promoting positive learning habits, encouraging resilience and supporting students who may have additional educational needs. As part of this position, basic IT skills are required, as you may assist learners with digital platforms, online resources, data presentation, research tasks and the formatting or submission of assignments. Why apply for this Learning Support Assistant (Science) role? Full-time, immediate-start role at a well-regarded sixth form college Support students across Chemistry and Physics , both in theory and practical environments Gain valuable experience working closely with Sixth Form learners Contribute to a collaborative science department with excellent facilities Ideal stepping stone for aspiring Science Teachers, Science Communicators or those considering a PGCE or further scientific study Opportunity to support revision workshops, practical write-ups, UCAS applications and study skills sessions The ideal Learning Support Assistant (Science): Holds a degree in Chemistry, Physics, Natural Sciences or a related field Has experience supporting or working with young people in any setting Demonstrates strong communication, patience and enthusiasm for science Confident supporting learners with varied needs, abilities and academic goals Reliable, organised and committed to helping students achieve success Ribbons & Reeves are London's leading Education Recruiters, supporting graduates into long-term and permanent roles such as this Learning Support Assistant (Science Chemistry & Physics) opportunity. We look forward to assisting with your application. Science Graduate | Kensington & Chelsea TPBN1_UKTJ

Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Bac