142 jobs found

About EIT The Ellison Institute of Technology (EIT) purpose is to have a global impact by fundamentally reimagining the way science and technology translate into end-to-end solutions and delivering these solutions in programmes and platforms that respond to humanity's most challenging problems. EIT will ensure scientific discoveries and pioneering science are turned into products for the benefit of society that can have high-impact worldwide and, over time, be commercialised to ensure long-term sustainability. Led by a world-class faculty of scientists, technologists, policy makers, economists and entrepreneurs, the Ellison Institute of Technology aims to develop and deploy commercially sustainable solutions to solve some of humanity's most enduring challenges. Our work is guided by four Humane Endeavours: Health, Medical Science & Generative Biology, Food Security & Sustainable Agriculture, Climate Change & Managing Atmospheric CO2 and Artificial Intelligence & Robotics. Set for completion in 2027, the EIT Campus in Littlemore will include more than 300,000 sq ft of research laboratories, educational and gathering spaces. Fuelled by growing ambition and the strength of Oxford's science ecosystem, EIT is now expanding its footprint to a 2 million sq ft Campus across the western part of The Oxford Science Park. Designed by Foster + Partners led by Lord Norman Foster, this will become a transformative workplace for up to 7,000 people, with autonomous laboratories, purpose-built laboratories including a plant sciences building and dynamic spaces to spark interdisciplinary collaboration. EIT is committed to cultivating a community where excellence is achieved through collaboration, trust, innovation and tenacity. We foster an environment where everyone's experience and expertise are valued. We are curious and resilient in our efforts to drive long-term, sustainable innovation to meet humanity's most enduring challenges. About Economics Economics at EIT is recruiting for a number of outstanding, full-time Post-doctoral Research Fellows dedicated to developing the economic case for transformative solutions to humanity's greatest challenges, using pioneering theoretical and empirical research to support global solutions. This is an exciting opportunity to join a new and rapidly expanding group, under the leadership of Professor Andrew J. Scott, that will tackle frontier issues in the economics of health and work. The EIT offers a stimulating research environment that focuses on both fundamental research as well as applied solutions - rethinking policies, institutions and economic thinking to build the economic foundations for a better future. You will be part of a large and expanding Economics team with strong links to a world-class AI team and access to large-scale datasets. Researchers will have the opportunity to work with a faculty of global academic experts producing research aimed at shaping government policies and creating successful commercial products. You will be part of a cohort of Post-Doctoral Fellows and Pre-Doctoral positions. Positions are full-time and are for one and two-year duration, potentially renewable for further terms, subject to performance, with the option to rotate across projects. With the opportunity to mix with leading academics across a range of institutions and participate in the research networks of academics and policymakers operating out of EIT these positions offer a unique track for establishing credentials for further research or for providing a springboard for a career in policy or business. About the Role The projects cover a range of theoretical and empirical issues with Researchers being allocated depending on their strengths and interests. You will work closely with leading academic and policy experts on the issues and be expected to take the lead on driving research forward and coordinating with Pre-Doctoral Researchers: Empirical modelling of the links between biology, health, disease and economic outcomes (e.g. labour force participation, earnings, occupational choice, retirement, etc). Constructing micro-founded models to evaluate the macroeconomic case for preventative health. Developing effective measures of health using large, novel datasets and identifying key causal factors via quasi-experimental techniques that would deliver effective prevention programmes. Work on theoretical models evaluating the welfare gains of better health, developing measures to improve the allocation of health resources. Using economic approach to develop recommendations to measure and improve health systems productivity. How might AI and robotics and demographic trends affect future economic forecasts for GDP, productivity and employment? What implications might these dynamics and transitions have for public finances? Skills Required A PhD (or due to complete in 2026) in Economics, or related discipline with research relevant to theoretical modelling (micro, macro or health), applied micro econometrics and large data skills. Evidence of intellectual excellence and the ability to work independently. A strong technical skillset - theoretical modelling, econometric application, experience with large datasets, etc. The ability to deliver as part of a wider project team and to coordinate researchers and data work A creative approach to problem-solving and the ability to project manage. Working across broad scientific missions to identify and solve different economics problems. We expect the Post-Doctoral Fellow to pursue independent high-quality research, working closely with senior colleagues in the Economics Department, while fostering collaboration and opportunity for applied economics research across the wider EIT Programmes. We do not require candidates with knowledge of health economics but a general emphasis on economic thinking and strong technical skills that can be applied to specific research projects and more broadly. Application Requirements Applications are welcome from candidates both within the UK and internationally. Please note that any offer of employment is contingent upon the candidate's eligibility to work in the UK. Role Duration Positions are available for one-year and two-year terms. Fellows will be appointed on a full-time basis, with contracts renewable annually. A minimum commitment of two years is strongly preferred. Required Application Materials Curriculum Vitae (CV) Job Market Paper Cover Letter Two Letters of Reference We offer the following benefits Enhanced holiday pay Pension Life Assurance Income Protection Private Medical Insurance Hospital Cash Plan Therapy Services Perk Box Electric Car Scheme Why work for EIT At the Ellison Institute, we believe a collaborative, inclusive team is key to our success. We are building a supportive environment where creative risks are encouraged, and everyone feels heard. Valuing emotional intelligence, empathy, respect, and resilience, we encourage people to be curious and to have a shared commitment to excellence. Join us and make an impact!

Principal Data Scientist Full time / Part time Salary: £57,815pa - £65,021pa, with potential for further progression to £73,211pa with our pay progression scheme. Location: Hybrid Contracted to our Wilmslow, London, Edinburgh, Cardiff or Belfast office, however, we offer flexible home and office-based working opportunities. There will be times when you will be expected to attend the office to collaborate with colleagues or travel due to business need. Please note, from Autumn 2026 our head office will relocate from Wilmslow to Manchester city centre. Why work for the ICO? Pay progression scheme. Hybrid and flexible working options. 25 days paid holiday per year, plus privilege and public holidays. Flexi leave (up to 26 additional days leave per year). Pension (employer contribution around 28.9%). Online discount scheme to save money at major supermarkets, retailers, gyms, restaurants, insurance providers and many more. Health Cash Plan. Fantastic development opportunities to learn and progress. Further details can be found on the benefits section of our website . Job summary We re looking for a skilled professional to join our Analytics and AI team. You ll work closely with stakeholders to identify and prioritise AI opportunities, ensuring outputs are explainable, responsible, and embedded effectively within the organisation. Collaboration is key you ll partner with data analysts, engineers, and product owners to create solutions that meet business needs, while contributing to frameworks that uphold ethics, transparency, and performance. Additionally, you ll support the ICO Data Academy to boost data literacy and stay ahead of emerging trends in AI and analytics to drive innovation and value. The Information Commissioner s Office (ICO) is the independent regulator of information rights. In a data-driven world, we provide advice, guidance, and support to organisations enabling compliance with their obligations, as well as protecting individuals and their personal data. As an employer, we are passionate about making a positive difference to the lives and careers of our people, and we empower you to be curious, impactful, collaborative and respectful. Job description The role will form part of our analytics and AI function, providing technical expertise in the disciplines of analytics and AI. The role will help unlock insight from our wealth of internal data and advise and deliver on the best methodologies for the problem at hand. The role will primarily involve engaging with internal stakeholders to deliver analytics and AI solutions that provide value and benefit to the organisation while ensuring outputs are high quality, accurate, and consider data privacy and data ethics by design. Outputs might include reports and dashboards, data and statistical analyses, or products that utilise artificial intelligence technologies. The role will also work with the Head of AI and Analytics to deliver wider objectives belonging to our Enterprise Data Strategy (EDS). This includes contributing to our new data literacy initiative, the ICO Data Academy, to empower ICO s people to better use and analyse data. Key responsibilities: To build, develop, and test AI and analytics products that align with ICO s business strategies and provide value in a timely, accurate and ethical manner, ensuring outputs are explainable, responsible, and embedded effectively within the organisation. To identify, define and prioritise new AI opportunities that might offer value to the organisation. You will be able to work closely with business stakeholders to understand their priorities and challenges, bringing this together with your technical understanding of AI / analytics approaches, to determine practical solutions Feed into the mechanisms / frameworks that provide assurances that AI solutions are built responsibly, and considerations such as explainability, ethics, and model performance are thoroughly considered and monitored Work closely with product delivery mechanisms to retain critical stakeholder engagement throughout the development of solutions, and successful embedment at the time of implementation. Work closely with the Senior Data Analysts, Senior Data Engineers and Data Product Owners to ensure AI and analytics solutions are designed collaboratively, meet business needs, and are embedded effectively into operational workflows Play an active role in our new data literacy initiative the ICO Data Academy - helping to support the empowerment of data skills and awareness for our colleagues, and supporting the broader data analytics community that exists within the ICO Remain continuously informed of new developments in the fields of data analytics and AI, so to be able to assess whether emerging techniques and innovation might be applied within the organisation for to drive new impact and value Person specification Essential criteria assessed at application stage: Substantial experience relevant to the role requirements, as described in the role responsibilities and person specification, and accumulated through any combination of academic or vocational qualifications or experience. Delivering AI solutions as part of a data science team, utilising open source coding languages, such as Python, and building Machine Learning models/Large Language Models Working in cloud environments, such as Microsoft Azure, and utilising cloud services. Delivering AI solutions within an ethics and governance framework Supporting data science capability building across a team and wider organisation An understanding of how analytics and AI can be used to drive value within an organisation. Technical understanding across a wide range of data analysis, data science and AI techniques including, but not limited to, exploratory data analysis, statistics, machine learning, operational research, data visualisation, NLP, and generative AI. Proficient in Python coding language, experience of working within cloud platforms, such as Microsoft Azure, and knowledge of git version control. Approaches for measuring and monitoring quality metrics when introducing analytics and AI solutions and products Frameworks/approaches to support responsible AI innovation, including identification and prioritisation of new opportunities Ability to proactively engage with stakeholders to understand business challenges, and be able to provide solutions Actively keeping informed of industry developments to ensure the relevance of new and emerging approaches and technologies. Knowledge of the data protection and privacy landscape, regulations, and obligations for data practitioners. Ability to deal with complexity and ambiguity, creative problem solving and developing innovative solutions. Makes complex and technical information and language simple and accessible for non-technical audiences. Essential criteria assessed during interview: Equality, diversity, and inclusion The ICO is committed to promoting and enhancing equality, diversity, and inclusion. We are focused on developing a workforce that is representative of the communities we serve and together we are building an inclusive workplace where all of our colleagues have the opportunity to make a real difference. We are championing this through our Equality Diversity and Inclusion Board together with a number of staff networks. Read more about our commitment on our website. Candidates with a disability who meet the minimum criteria for this vacancy will be invited to interview as part of the ICO s commitment to the Disability Confident Scheme. As part of the ICO s commitment to our EDI objectives and creating a workplace that represents the communities and societies we serve, we guarantee an interview to candidates who declare they identify as belonging from an ethnic minority background and who meet the minimum criteria for this vacancy If you are disabled or have an impairment and require an alternative application method, please email the HR team at Closing Date Please submit your CV and cover letter by 23:59, Sunday 11 th January 2026 . Your cover letter should be no more than 1,000 words and should clearly demonstrate how you meet the essential criteria for the role. In the event of a high volume of applications, we may not be able to invite all candidates who meet the minimum criteria to interview. However, we encourage you stay in touch and apply for future roles that match your interests. All candidates who meet the minimum criteria and apply in-line with our guaranteed interview scheme for disabled and ethnic minority applicants will be interviewed.

What we're looking for We're hiring a FinCrime Lead to work directly with our founders and build our financial crime product function from the ground up. You'll lead a cross-functional product team focused on fraud prevention, AML/CTF, and transaction monitoring, and delivering measurable impact through smart, data-driven analyses. You'll thrive in this role if you love solving complex problems, can translate regulatory and operational needs into product solutions, and enjoy working at the intersection of product, data science, and engineering. What you'll be doing Own the product vision and roadmap for fraud detection, AML, and transaction monitoring. Lead a team of engineers and data scientists to design, deliver, and refine detection models, rule sets, and monitoring systems. Define and track KPIs like true positive rate, false positive rate, and time-to-detection. Turn fraud patterns, typologies, and compliance requirements into clear product specifications. Continuously improve our detection capabilities based on real-world incident feedback and evolving threats. What you'll need Proven product experience in fintech, payments, or fraud / financial crime prevention. Strong track record delivering data-driven products with engineering and analytics teams. Analytical mindset; comfortable interpreting model performance metrics. Ability to balance risk prevention with great customer experience. Comfortable working directly with founders in a fast-paced startup. Nice-to-haves Experience in Latin American markets. Spanish or Portuguese language skills. Experience scaling a FinCrime product from 0 to hundreds of millions of transactions. Benefits Competitive salary Sign-on stock options bonus, so you become part of the success of the company Discretionary performance bonus (stock options) Paid annual leave Latest technology to work with Strong team that will help you improve your skills About us We are an ambitious and passionate team building the financial system for the next century. If you close your eyes and imagine, the vision is simple: a global system, without hidden fees or unfair FX rates. With control in the hands of customers instead of the hands of banks. With rails that are faster and more efficient than ever before. With wealth management capabilities to grow your savings for decades and build generational money. We believe that small teams with the best talent outcompete massive companies with mediocre capabilities. That's why we have gathered a set of people who have done it before at iconic companies like Revolut, Uber, Amazon, Block and UBS: we owned some of the most loved and profitable products, delivered top-notch transaction processing platforms, created beautiful mobile applications - and helped them become profitable companies that changed the lives of millions of people. At DolarApp we strive to turn the financial system upside down, starting with the Americas. We are nimble but ambitious. We innovate and we learn fast to help our users, with technology as our greatest ally. We do it as a team and we are looking for world class talent to join the movement. Are you ready?

Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.

Data Science Lead at Flo Health - London 400M+ downloads. 75M+ monthly users. A decade of building - and we're still accelerating. Flo is the world's health app on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 - and we're not slowing down. With 6M paid subscribers and the highest rated experience in the App Store's health category, we've spent 10 years earning trust at scale. Now, we're building the next generation of digital health - AI powered, privacy first, clinically backed - to help our users know their body better. The job We're not chasing a product - market fit. We've found it. Flo is used by 1 in 4 women aged 18-44 in the US. Last year, $200M raised. Earlier this year: 8.6M new installs, 2.8M user jump. That kind of scale doesn't just happen. It's engineered - and increasingly, it's predicted. That's where you come in. We're hiring a Data Science Lead in London to build and lead our Predictive Growth Optimization team - pioneering ML models that power our user acquisition strategy, predict lifetime value, and optimise our $25M+ annual marketing spend across channels. This role owns the strategy, development, and continuous improvement of Flo's pLTV system - a mission critical model reused across UA, AdTech, personalization, and financial forecasting. You'll balance hands on technical leadership with people management, building production systems that directly impact our growth trajectory. What you'll do Lead & develop a team of 4+ ML and Backend engineers - hiring, mentoring, and setting technical direction Own pLTV strategy - architect and evolve our core predictive lifetime value models that inform millions in UA decisions Build production ML systems - from MMM algorithms to real time forecasting models handling millions of daily predictions Drive cross functional impact - partner with Growth, Product, and Finance to translate business problems into ML solutions Shape technical architecture - guide MLOps infrastructure, monitoring, and rapid iteration cycles Stay hands on - contribute to modeling, architecture decisions, and technical problem solving as needed What you bring Technical Leadership 7+ years applied ML experience building and deploying models in production 4+ years managing technical teams (ML engineers, data scientists, or similar) Expert knowledge of ML fundamentals: supervised/unsupervised learning, time series, causal inference Experience with modern ML frameworks (PyTorch, TensorFlow, scikit learn, CatBoost) Growth & Product Experience Experience with growth analytics, attribution modeling, or marketing effectiveness Understanding of user acquisition funnels and retention optimization Comfortable translating business requirements into technical roadmaps Strong communication skills - can explain complex models to executive stakeholders Production ML Systems Experience deploying ML models at scale (millions+ predictions/day) Knowledge of MLOps practices: model versioning, monitoring, automated retraining Understanding of data engineering fundamentals and cloud platforms Nice to have Experience with Marketing Mix Modeling, attribution, or ad tech Background in consumer tech, mobile apps, or health tech Knowledge of privacy preserving ML techniques and A/B testing methodology How we work We're a mission led, product driven team. We move fast, stay focused and take ownership - from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You'll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it. What you'll get We support impact with meaningful reward. Here's what that looks like: Competitive salary and annual reviews Opportunity to participate in Flo's performance incentive scheme Paid holiday, sick leave, and female health leave Enhanced parental leave and pay for maternity, paternity, same sex and adoptive parents Accelerated professional growth through world changing work and learning support Flexible office + home working, up to 2 months a year working abroad 5 week fully paid sabbatical at 5 year Floversary Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role - nothing else. We're proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants. Join now and stay informed with weekly updates on new AI tools and breaking AI news! By joining you agree to with our Privacy Policy and provide consent to receive updates from our Victrays.

A Data Scientist to join the Schroders Capital Private Assets Data Insights team. Business Overview Schroders is a leading provider of active asset management, advisory and wealth management services and is widely recognised as a leader in sustainability. Few investment managers can match the combination of capabilities and global reach that Schroders offers. This breadth of services across public and private markets allows for distinctive solutions for the diverse needs of clients, who look to Schroders to provide superior long-term investment outcomes. Schroders Capital is the private markets business of Schroders with $111bn of AUM. We work as a global network of specialised, entrepreneurial teams. We combine a global perspective with local market expertise to serve institutional and private wealth clients. Our offering spans the private markets universe and provides access to unique capabilities across private debt and credit alternatives, real estate equity, private equity, and infrastructure equity. The firm has deep expertise in creating bespoke solutions for clients and is committed to providing scalable capabilities across the spectrum of risk, return and sustainability and impact objectives. Supported by the resources, experience, and institutional framework of one of the world's leading asset managers, Schroders Capital is dedicated to helping investors achieve their goals and is at the forefront of product innovation to meet the evolving needs of investors. The base We moved into our new HQ in the City of London in 2018.We are close to our clients, in the heart of the UK's financial centre. And we have everything we need to work flexibly. The team The Private Assets Data Insights (PADI) team is an innovation team embedded within investment management across Schroders Capital. Established in 2014, the team employs data science, AI and advanced analytics to develop proprietary applications, applied research, and decision-support tools to optimise investment decision-making and streamline investment processes. The team supports the four verticals withinour private markets business -real estate, private equity, infrastructure andprivate debt. We have an opening for an additional team member to work across all verticals with a particular focus onreal estate, working closely with investment teams to identify, shape and execute on high value initiatives to push the boundaries of data driven investing. What you will do: Work closely with real estate investment teams to optimise decision-making and improve investment processes through geospatial data science, advanced analytics, and AI, with scope to extend approaches to infrastructure and private credit where business value dictates. Identify, scope, and independently lead data science projects that generate measurable value for real estate, as well as other verticals as required. Manage your own stakeholders effectively, ensuring alignment of analyses and insights with investment priorities. Develop and deliver clear, impactful presentations of your analyses and findings to internal stakeholders and external clients. Apply data science techniques to portfolio optimisation and cash flow modelling, supporting investment strategies. Collaborate with data engineering and IT teams to build and maintain robust data pipelines and tools. Stay abreast of industry trends and emerging technologies, ensuring solutions are current and aligned with business objectives. The knowledge, experience and qualifications you need: A degree in a relevant technical discipline such as computer science, physics, engineering, mathematics, statistics, or a related field, and 4+ years of experience in a relevant role. Demonstrable interest and experience in geospatial data science. Strong interest in and knowledge of computer and data science, with excellent analytical skills and the ability to exercise sound judgement. Ability to communicate complex ideas and problems in a clear and structured way to senior stakeholders and clients. Knowledge of econometrics and other forecasting methodologies is a plus. Proficient in Python; good working knowledge of R and SQL. Comfortable working in a Linux environment. Experience with Agile methodologies and tools, including DevOps, Git, and CI/CD practices. A drive to address complex technical and theoretical challenges. Experience with a cloud computing platform; AWS is a plus. We recognise potential, whoever you are Our purpose is to provide excellent investment performance to clients through active management. Diversity of thought, facilitated by an inclusive culture, will allow us to make better decisions and better achieve our purpose. This is why inclusion and diversity are a strategic priority for us and why we are an equal opportunities employer. You are welcome here, regardless of your age, disability, gender identity, religious beliefs, sexual orientation, socio-economic background, or any other protected characteristic. About Us We're a global investment manager. We help institutions, intermediaries and individuals around the world invest money to meet their goals, fulfil their ambitions, and prepare for the future. We have around 6,000 people on six continents. And we've been around for over 200 years, but keep adapting as society and technology changes. What doesn't change is our commitment to helping our clients, and society, prosper. Job Info Job Identification 525 Job Category Investment Posting Date 01/03/2026, 12:00 AM Locations 1 London Wall Place, London, EC2Y 5AU, GB

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a skilled and motivated Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Develop robust Python pipelines for data manipulation using NLP and Foundation Models Apply geospatial libraries and techniques to subsurface geological datasets Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Required Qualifications Honors degree (2:1 or above) in data science or related field. Minimum of 2 years related work experience Essential Skills Proficiency in Python, with a strong grasp of Python best practices Experience using Git for version control and collaboration Experience in use of ML, NLP and Foundation Models in ETL pipelines Knowledge of secure coding principles Familiarity with geospatial libraries such as GeoPandas, Shapely, and GDAL Knowledge of PostgreSQL/PostGIS for spatial data management Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Experience working with large datasets, including data preprocessing Excellent communication skills, both written and verbal English, with the ability to communicate complex ideas clearly Strong teamwork and interpersonal skills, with a collaborative and agile mindset Self-motivated, detail-oriented, and capable of managing multiple task Desirable Skills Knowledge of geological or subsurface data domains Experience developing AI models across domains such as natural language processing, computer vision, or predictive analytics Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204366 Experience Level: Experienced Hire Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. Job Duties We are looking for the right people - people who want to innovate, achieve, grow and lead. We attract and retain the best talent by investing in our employees and empowering them to develop themselves and their careers. Experience the challenges, rewards and opportunity of working for one of the world's largest providers of products and services to the global energy industry. About the Role We are seeking a highly skilled and motivated Senior AI Data Scientist to join our Subsurface team at our Abingdon office in Oxfordshire. This is a unique opportunity to apply advanced data science techniques to geological and geospatial challenges, helping us unlock insights from complex subsurface data. Key Responsibilities Collaborate with geoscientists and engineers to understand requirements and design effective solutions Develop robust Python pipelines for data manipulation Implement secure coding practices and manage version control using Git Work with cloud platforms (AWS and Azure) to scale data workflows and manage infrastructure Optimize database performance and spatial queries using PostgreSQL/PostGIS Champion Python best practices across the team and support the development of junior team members Required Qualifications Honors degree (2:1 or above) in data science/AI or related field. Minimum of 10 years related work experience. Desirable Qualifications Postgraduate qualification in AI or related field Essential Skills Proficiency in Python, with a strong adherence to Python best practices Experience using Git for version control and collaboration Knowledge of secure coding principles Expertise in geospatial libraries such as GeoPandas, Shapely, and GDAL Advanced knowledge of PostgreSQL/PostGIS for spatial data management Experience with AWS and Azure platforms, including AI services (e.g., AWS SageMaker, Azure ML) Proven experience developing or deploying AI models across domains such as natural language processing, computer vision, or predictive analytics Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and data science tools (e.g., Jupyter, Pandas, NumPy) Ability to design, train, and evaluate supervised and unsupervised learning algorithms Strong teamwork and interpersonal skills, with a collaborative and agile mindset Proven ability to work within agile development environments Self-motivated, detail-oriented, and capable of managing multiple tasks Desirable Skills Knowledge of geological or subsurface data domains Experience with containerization tools such as Docker and Kubernetes Familiarity with CI/CD pipelines for automated deployment Understanding of data governance and compliance in scientific environments Experience with database virtualisation, including DecisionSpace integration server Experience with data analysis applications from the Neftex Predictions portfolio Halliburton is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation. Location 97 Jubilee Avenue, Milton Park, Abingdon, Oxfordshire, OX14 4RW, United Kingdom Job Details Requisition Number: 204382 Experience Level: Entry-Level Job Family: Engineering/Science/Technology Product Service Line: division Full Time / Part Time: Full Time Additional Locations for this position: Compensation Information Compensation is competitive and commensurate with experience.

The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now! What you'll do As a professional in Deloitte's Tax Technology Consulting (TTC) team, you will be a part of a team that provides an integrated approach to technology implementations, automation,data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency; leveraging numerous applications. This is a unique opportunity for you to join a team as it expands and help us position Deloitte as the clear legal technology leader. As a Legal Technology Manager Client Management: Manage the day-to-day interactions with executive clients and sponsors. Delivery: Work with a team to optimize legal processes, leveraging technology to align legal software with the clients' specific requirements and goals. Solutions: Identify, design and leverage technology and innovative solutions to address the legal department needs. Support: Provide training around day-to-day activities, related to processes and various technologies or situational changes. Cross Functional Teaming: Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically. People Development: Perform role of counselor and coach; participate in the staffing process and retention activities. Business Development: Develop and maintain contacts, organize and lead pursuit teams; contribute to business development. Qualifications Required Ability to perform job responsibilities within a hybrid work model that requires US Tax professionals to co-locate in person 2-3 days per week Limited immigration sponsorship may be available 5+ years' experience with legal and/or technology solutions Bachelor's degree Experience with one or more of the following: Implementation experience with Agiloft, SirionOne, Icertis or any other CLM (contract lifecycle management) software Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others Experience with DocuSign CLM or Salesforce configuration Ability to travel up to 50%, on average, based on the work you do and the clients and industries/sectors you serve One of the following active accreditations obtained: Licensed CPA in state of practice/primary office if eligible to sit for the CPA If not CPA eligible: Licensed Attorney (or foreign equivalent) Enrolled Agent PMP (Project Management Certification) Contract & Commercial Management (CCM) Certification Program Certified Financial Analyst (CFA) PMI Agile Certified Practitioner (Project Management Institute-ACP) Certified Change Management Professional (CCMP) Certified Business Analysis Professional (CBAP) Procurement/Legal Procurement or SAS Certified Data Scientist. Paralegal Certification with a 4-year degree Other Technical Certifications: Six Sigma (Black Belt and Green Belt) Microsoft Certified Solutions Developer (MCSD) Contract & Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP) Certified Systems Engineering Professional (CSEP) The Information Systems Security Architecture Professional (CISSP-ISSAP) Certified Change Management Professional (CCMP) or SAS Certified Data Scientist DocuSign (Workflow Manager, E-signature, CLM, etc.) iCertis Onit Product Suite (Level 2 and above) Conga CLM Agiloft Sirion Labs Kira Thomson Reuters (Legal Tracker, High Q, or Contract Express) Wolters Kluwer Passport (Passport Legal Spend and Matter Management) Mitratech Team Connect and TAP Vendor certification for management of implementations (SAP, Thomson Reuters, etc.) or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) Preferred Advanced Degree in any of the above fields Experience with template rationalization and harmonization, guide or playbook creation and the design of the contracting processes The team At Deloitte Tax LLP, our Tax Technology Consulting (TTC) practice helps legal and tax departments pursue a streamlined, transparent, and efficient function that enhances the core responsibilities of contracting, compliance, reporting and planning, while also positioning legal and tax as a for the digital era. We specialize in tax and can effectively address a corporate legal and tax function's unique needs, requirements and obligations. As technology specialists, we help clients make appropriate technology choices for legal departments and for both direct and indirect taxes across all business cycles that have a tax impact tax. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with a successful ERP implementation. Deloitte TTC professionals are aligned across our global network of member firms to support our clients' objectives and address their challenges. Our team's multi-disciplinary approach combines legal, tax technical and technology skillsets, enabling greater impact and efficiency within our client's organization. TTC's business services help clients with operating model evaluation, technology roadmap development for a desired future state, data, document and contract management solutions, automation opportunities, portals, cloud for enterprise systems, agile resourcing models, risk, provision and compliance. Learn more about Deloitte Tax Technology Consulting. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is$108,430 to $246,870. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation:

The Role At Notpla, we're at the forefront of sustainable innovation, creating natural alternatives to single-use plastic packaging that are carefully engineered to help build a healthier planet. Founded on the belief that nature knows best, we're an innovative, action-oriented scale-up developing and manufacturing uncompromisingly natural packaging solutions from seaweed and plants. As a Senior Material Scientist, you'll spearhead scientific and technological breakthroughs, playing a pivotal role in developing natural polymer technologies to replace plastic. This role will suit someone with a background in Materials Science, Polymer Chemistry, or Chemical Engineering, with hands-on experience working with natural materials such as biopolyesters, rubbers, resins, seaweed, and/or processes such as PET recycling or polymer extrusion. This is an exciting time to join Notpla - we're on the brink of a record-breaking year for revenue and on track for major growth in the next 18-24 months. To support this, we have just secured a £20 million Series A+ fundraise, enabling us to scale our growth and environmental impact faster than ever. Beyond offering meaningful roles and a vibrant working environment, Notpla provides competitive compensation, including EMI Share Options, a zero-carbon pension scheme, discounts with local businesses, and subsidised social activities. Our office-first hybrid working policy lets you work in the way that maximises your productivity while maintaining a dynamic and collaborative atmosphere. We're a social business with regular clubs and events, and we're proud of how our diverse, mission-driven community works together to make plastic disappear. Led by strong values, all Notpla employees are encouraged to take ownership of their domain, enjoying a high degree of autonomy. Our aim is to build an inspiring culture reflected in our working policies, environment, and people. As a Senior Material Scientist, you'll balance fast-paced feasibility initiatives with in-depth polymer and process development. Your work will be highly hands-on and collaborative, engaging with cross-disciplinary teams and international partners. You'll tackle complex materials challenges, coordinate trials, scout novel natural polymer opportunities, and engage with a network of scientific experts and labs to bring innovation to life. Within the Innovation Team, you'll thrive in a setting that embraces ambiguity and agile ways of working. You'll collaborate closely with colleagues from diverse backgrounds - such as design, engineering, and business - to develop new materials and products. A true innovator, you'll explore the unknown, constantly learning and pushing the boundaries of science rooted in nature. Key Responsibilities Play a central scientific role in Notpla's in a large funded consortium project, executing and coordinating polymer chemistry activities across the consortium. Pioneer new approaches to polymer synthesis from abundant natural materials. Conduct feasibility studies and fast-paced discovery projects to address material science and packaging challenges. Collaborate closely with cross-disciplinary teams - including designers, engineers, seaweed specialists, and business development managers - to solve complex problems. Identify, source, and test natural materials; develop formulations that meet performance, sustainability, and cost targets. Design and execute experiments, analyse data, and present findings to drive decision-making and project progress. Stay up to date with the latest scientific and industry advancements, integrating new knowledge into projects. Contribute to the development of intellectual property, including patents and trade secrets. Provide technical input for grant and client proposals to secure funding. Lead in-depth development projects to advance the understanding of seaweed and biomaterials for packaging applications. Characterise polymer structures, reactions, and material behaviour, and conduct performance, shelf-life, and compatibility studies. Represent Notpla to external partners, academic institutions, and commercial labs; coordinate third-party testing as needed. Develop technical strategies and approaches to solve key challenges. Mentor colleagues (scientists, designers, engineers) to help develop their technical skills and support their project work. Plan and manage your own workload effectively. Salary £38,000 - £45,000 + EMI Share Options

Kitman Labs is a global human performance company, disrupting and transforming the way the sports industry uses data to increase the performance of the world's top athletes. Driven by a passion to innovate in the areas of sports performance, analytics and user experience, we have assembled a team of the industry's top data scientists, sports performance scientists, product specialists and engineers. The company received recognition by Fast Company in 2019 as one of the most innovative companies in the world. Kitman Labs' advanced Outcome-driven Analytics and Performance Intelligence Platform are used by over 700 teams in 50 leagues on 6 continents spanning soccer, rugby, American football, baseball and ice hockey. The Role We are seeking highly motivated and knowledgeable individuals to join our team as an Applied Performance Specialist based in the UK. The ideal candidate will have experience in either elite level sport or in account management specifically with providing technical support. Applied Performance Specialist's Expectations Provide day-to-day support and resolve customer challenges via e mail, phone calls, face to face conversations, and our in platform support tool, Intercom. Collaborate with sales team members to ensure client objectives are understood and can be executed immediately and effectively. Develop resources and disseminate information to coaches & practitioners through face to face meetings, electronic means, reports and presentations. Contribute to Customer success by collaborating with both internal team members and key customer stakeholders to develop proactive strategies to best assist organisations while also addressing their real time needs. Improve customer experience by helping improve their efficiency and processes to unlock greater productivity. Commitment to being a team player willing to work closely with Performance Strategists to collaborate across functions such as sales, product management, Engineering, and Data science. Display the ability to think critically and creatively to both solve problems and prioritise to most effectively support the Kitman Labs team and customers. Provide on call and at times scheduled weekend support to the Kitman Labs customer base via the in platform tool Intercom. Maintain appropriate account and system documentation via the usage of Salesforce and Jira platforms. Follow and implement established processes and best practices associated with creating Customer Success via technical support including: Account setup and creation System training and education Assistance with data migration, management, and analysis Knowledge, adherence, and application of industry standards for both data security and clinical best practices. At a minimum Excellent communication & presentation skills, specifically utilising Google Workspace tools. Ability to take initiative and work independently. Ability to travel semi regularly. Proven technical background and commensurate education (Bachelor's Degree minimum). Minimum 3 year of experience in any of the following areas: Elite Level Sports Sport Technology Customer support, service, or account management (preferably in a sports related industry or business.) Required Bachelor's degree in a relevant field (e.g., sports science, data science, engineering, performance analysis, or related) 3+ years of experience in elite sport, sport technology, or performance support Demonstrated technical literacy and analytical capability Nice to haves 5+ years of experience working in or with elite sporting organisations Experience managing or migrating data across systems Knowledge of sports injury prevention, performance optimisation, and applied sports science Familiarity with medical record systems and data governance Benefits Competitive salary Health insurance for employee & dependants Meaningful equity Pension Plan Life Cover Income protection Wellbeing benefits Location While this role allows for remote work, occasional face to face gatherings are recommended. Diversity In addition to building a team with diverse skill sets, Kitman Labs is committed to hiring people with diverse backgrounds. We do not discriminate based on age, civil or family status, disability, ethnicity, gender, race, religion, or sexual orientation. If you are a person with a disability and require assistance during the application process, please let us know. You can find information about how we process, share and keep your personal data safe by reading our privacy policy

We believe in the power of ingenuity to build a positive human future. As strategies, technologies, and innovation collide, we create opportunity from complexity. Our teams of interdisciplinary experts combine innovative thinking and breakthrough technologies to progress further, faster. Our clients adapt and transform, and together we achieve enduring results. We are over 4,000 strategists, innovators, designers, consultants, digital experts, scientists, engineers, and technologists. And we have deep expertise in consumer and manufacturing, defence and security, energy and utilities, financial services, government and public services, health and life sciences, and transport. Our teams operate globally from offices across the UK, Ireland, US, Nordics, and Netherlands. PA. Bringing Ingenuity to Life. Hybrid working - our approach is to be in the office or on client site a minimum of 3 days per week. However, the actual time you spend and where you spend it will vary by role or assignment, including up to 5 days per week on a client site. This role is based at our London Victoria office Apply asap What is next in your career? Operating at the leading edge of consulting, we are market leaders in developing actionable strategies that achieve the fastest path to impact. This includes: Enterprise Strategy: We help clients develop long-term business /organisational strategies (private and public sector) to better enable them to deliver against their objectives, including optimising resource distribution and crafting targeted mergers and acquisition agendas Growth Strategy: We help client better understand market dynamics and create demand-driven strategies that identify and capitalise on growth opportunities Sustainability: We work with clients to develop credible and targeted approaches to improve sustainability by providing environment, social and economic prosperity We define success as achieving exceptional results that have a lasting impact on businesses, communities and team members. It's a principle that underpins everything we do. Our clients choose us because we challenge convention to find the solutions that really work - in practice, not just on paper. Then we roll up our sleeves and get the job done. Become part of the team We operate across a number of industry sectors, providing deep contextual insight and fresh perspectives to our clients. We are growing our teams in London, recruiting talented team members from a range of backgrounds and experience levels into our consulting ranked roles. You will lead in the development and execution of the latest strategic thinking and have a thirst for insight and problem solving You will work with CX-level clients across many sectors to develop and implement strategies to create value and transform their organisations You will join a people-oriented team of experienced and inquisitive who help business leaders across many sectors create a lasting impact on their organisations. Qualifications We are seeking consultants with experience working in the private sector at mid-senior level, either within a top-tier consultancy or a major industrial company (such as manufacturing, energy, or transport), to deliver structured, commercial, analytical strategy and transformation strategy engagements. Essential Attributes and Experience Industry Expertise Experience in the private sector at mid-senior level, either in a leading consultancy or a major industrial company Insight into current issues affecting UK and/or European industrial supply chains, including productivity pressures, innovation adoption, decarbonisation, digitalisation/AI, and barriers to scaling new technologies Strategic and Analytical Skills Proven ability to apply hypothesis-led analytical approaches to complex industry challenges, including structuring ambiguous problems, conducting quantitative and qualitative analysis, and generating clear, actionable recommendations Skilled in developing market sizing models and integrated three-statement financial models to test hypotheses, size opportunities, analyse scenarios, and inform data-driven strategic recommendations Commercial Acumen Strong understanding of market dynamics, regulatory landscapes, commercial and go-to-market models, and financing mechanisms that influence competitiveness, investment decisions, and scaling operations Client Engagement and Communication Ability to translate industry and supply chain insights into compelling, evidence-based strategic advice for senior stakeholders across private sector clients Personal Attributes Insightful and creative, with integrity, drive, interpersonal skills, and a genuine affinity for problem solving Open-minded and committed to inclusion and diversity of thought and background Able to work independently as the day-to-day client point of contact on assignments Qualification such as ACA/CIMA/ CFA or equivalent is highly advantageous Our roles often involve on-site working at client locations and often requires regular travel to various client sites. In-office working is further required and encouraged to support team development and integration with our wider growth strategy team and sector specialists. In addition to the formal benefits set out below, we are passionate about the personal and career development of all our consultants. Our team is committed to providing the opportunities, support, training and coaching required at all levels to ensure our consultants can all achieve their potential. We know the skill-gap and 'somewhat need to tick every box' can get in the way of meeting brilliant candidates, so please don't hesitate to apply - we'd love to hear from you. Apply today by completing our online application Please be aware that some of our UK roles at PA Consulting require a UK security clearance. All PA people are required to undergo background checks and to achieve the Baseline Personnel Security Standard however, some UK roles also require higher levels of National Security Vetting, where applicants must have at least 5 years of continuous residency in the UK. We therefore ask that you only apply if you meet the residency requirements (i.e. you are a British citizen or have been resident in the UK for the past 5 years), as this is the prerequisite for a security clearance. If you're unsure about your eligibility, we encourage you to review the UK Government's guidance on security vetting before applying. Additional information Life At PA encompasses our peoples' experience at PA. It's about how we enrich peoples' working lives by giving them access to unique people and growth opportunities and purpose led meaningful work. Our purpose guides how we work with our clients and our teams, and support our communities, to deliver insight and impact, solving the world's most complex challenges. We're focused on building a workplace that values human difference and diverse mindsets, and a culture of inclusion and equality that unlocks the potential in our people so everyone can be their best self. We are dedicated to supporting the physical, emotional, social and financial well-being of our people. Check out some of our extensive benefits: Health and lifestyle perks accompanying private healthcare 25 days annual leave (plus a bonus half day on Christmas Eve) with the opportunity to buy 5 additional days Generous company pension scheme Opportunity to get involved with community and charity-based initiatives Annual performance-based bonus PA share ownership Tax efficient benefits (cycle to work, give as you earn) We're committed to advancing equality.We recruit, retain, reward and develop our people based solely on their abilities and contributions and without reference to their age, background, disability, genetic information, parental or family status, religion or belief, race, ethnicity, nationality, sex, sexual orientation, gender identity (or expression), political belief, veteran status, or any other range of human difference brought about by identity and experience. We welcome applications from underrepresented groups. Adjustments or accommodations - Should you need any adjustments or accommodations to the recruitment process, at either application or interview, please contact us on

Research Engineer Scientist (Mitigations) - Chem Bio London, UK About the AI Security Institute The AI Security Institute is the world's largest and best funded team dedicated to understanding advanced AI risks and translating that knowledge into action. We're in the heart of the UK government with direct lines to No. 10 (the Prime Minister's office), and we work with frontier developers and governments globally. We're here because governments are critical for advanced AI going well, and UK AISI is uniquely positioned to mobilise them. With our resources, unique agility and international influence, this is the best place to shape both AI development and government action. About the Chem Bio team AISI's Chem Bio (CB) team conducts research to assess evolving AI capabilities related to science R&D and CB misuse, and the effectiveness of technical safeguards that might mitigate risks arising from those capabilities. The goal of our research is to inform critical decisions on security, opportunities, policy, and risk mitigation made by governments and AI developers. We're a close-knit, unusually interdisciplinary team - made up of machine learning researchers and engineers, software engineers, virologists and bacteriologists, behavioural research scientists, biosecurity experts, long standing CB policy specialists and talented generalists - who work closely with other technical and policy teams across government. The team is currently led by Sophie Rose. This role also involves collaborating closely with AISI's Safeguards team, who evaluate the protections on current frontier AI systems and research what measures could better secure them in the future. The Safeguards team is currently led by Xander Davies and advised by Geoffrey Irving and Yarin Gal. Role Responsibilities Lead ambitious research projects to understand the feasibility and effectiveness of potential technical safeguards for AI system's CB capabilities Partner with frontier AI developers and the Safeguards team to rigorously assess and strengthen existing technical mitigations designed to reduce misuse of models' CB capabilities (e.g. strengthening biological and chemical classifiers - see our recent collaborations with Anthropic and OpenAI) Design, build and run evaluations that stress test CB safeguards; analyse results and deliver clear, actionable findings Critically review developers' CB capability assessments, safeguards safety cases, and related policies to raise the bar on safety Translate findings into practical guidance that informs developer practices and decisions Example questions you might tackle How effective is pre training data filtering at reducing harmful CB capabilities while preserving benign performance? What scope of filtering works best, and how does this extend to open weight models? What would an effective differential or structured access regime look like for advanced CB related AI system capabilities? Requirements We are looking for the following skills, experience and attitudes, but a successful candidate will not necessarily need to meet all these criteria. We can be flexible in shaping the role and salary to your background, expertise, and level of experience. Broad knowledge of frontier AI development, safety and governance: training/fine tuning pipelines, evaluations and safeguards, developers' frontier safety frameworks, and technical mitigations for AI-CB risk. Hands on experience building or working deeply with general purpose AI systems and their safety/safeguards stacks. Experience writing production level Python code that is scalable, robust and easy to maintain, ideally in a team. Knowledge of scaffolding, prompting, fine tuning and/or evaluating large language models. Knowledge of math, statistics, and machine learning sufficient to read and critique AI research. Demonstrated research taste and execution: originate high leverage ideas, drive them independently, and ship impactful technical or governance products. Bias to action and ownership; quickly learn unfamiliar domains and prioritise policy relevant technical work over purely academic novelty. High agency and adaptability; communicate clearly and collaborate effectively across disciplines while operating autonomously in a fast paced, evolving environment. Familiarity with relevant datasets, benchmarks, or evaluation methodologies for CB risks from AI. Please note that this role requires Security Clearance (SC), which requires at least 2 years of UK residency, and a willingness to undergo Developed Vetting (DV) if required. Other core requirements Spend at least 9 days per fortnight working with us Work from our office in London (Whitehall) at least 3 days/week Be UK based What We Offer Impact you couldn't have anywhere else Incredibly talented, mission driven and supportive colleagues Direct influence on how frontier AI is governed and deployed globally Work with the Prime Minister's AI Advisor and leading AI companies Opportunity to shape the first & best resourced public interest research team focused on AI security Resources & access Pre release access to multiple frontier models and ample compute Extensive operational support so you can focus on research and ship quickly Work with experts across national security, policy, AI research and adjacent sciences Own important problems early if you're talented and driven 5 days off for learning and development, annual stipends for learning and development and funding for conferences and external collaborations Freedom to pursue research bets without product pressure Opportunities to publish and collaborate externally Life & family Modern central London office (cafes, food court, gym) or option to work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh, Salford or Bristol Hybrid working, flexibility for occasional remote work abroad and stipends for work from home equipment At least 25 days' annual leave, 8 public holidays, extra team wide breaks and 3 days off for volunteering Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option for additional unpaid time) On top of your salary, we contribute 28.97% of your base salary to your pension Discounts and benefits for cycling to work, donations and retail/gyms Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 (base plus technical allowance), with 28.97% employer pension and other benefits on top. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technical expertise in frontier AI safety, robustness and advanced AI architectures. Selection process In accordance with the Civil Service Commission rules, the following list contains all selection criteria for the interview process. The interview process may vary candidate to candidate, however, you should expect a typical process to include some technical proficiency tests, discussions with a cross section of our team at AISI (including non technical staff), conversations with your team lead. The process will culminate in a conversation with members of the senior team here at AISI. Initial interview Technical take home test Second interview and review of take home test Third interview Final interview with members of the senior team

Head of Data Science Hybrid in London, United Kingdom We're looking for a Head of Data Science You'll lead multiple data science teams whose work guides decision-making across lending, product, operations, and strategy. You'll shape how we work, ensuring that analytical insight directly influences the choices that matter most at iwoca. The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team iwoca's data scientists build probabilistic and statistical models that make lending decisions in real time, support forecasting and shape commercial strategy. Their work is deployed in production code and makes real-time lending decisions; it's more than exploratory analysis. Successfully leading iwoca's data science teams will require close collaboration with engineering, product, and commercial teams. The role As the Head of Data Science, you'll lead a group that focuses on rigorous, interpretable, and commercially useful modelling that is deployed, monitored, and maintained in production. You'll set direction, shape team structure, and ensure the function's work is grounded in commercial context and used by decision-makers across iwoca. The group has approximately 25 data scientists, with most working in a central team and some smaller groups aligned to specific products or domains. You'll report to one of iwoca's co-founders, who is also a data scientist. Strategic direction You'll work with the team leads and senior data scientists who coordinate day-to-day work. You'll help them plan, sequence, and review projects and maintain consistent standards of reasoning, communication, and methodology. You'll help the teams decide where and how to apply their efforts - identifying where modelling adds value and where a lighter heuristic approach could be more effective. Technical and people leadership You'll oversee hiring and development, ensuring assessment, progression, and knowledge-sharing are fair, structured, and suited to a growing multi-team environment. You'll shape how data science is applied at scale - how uncertainty is communicated, how analytical support is allocated, and how the function directs its effort to the highest-value work. Collaboration with engineering and business teams You'll coordinate with Engineering, Product, and Operations teams so that projects are properly scoped, resourced, and aligned with wider priorities. You'll represent the function in discussions that shape lending, risk, and product decisions by explaining assumptions, highlighting risks, and helping senior stakeholders act on analytical insight. The requirements Essential Strategic leadership: You have experience setting data science strategy and aligning work with commercial goals. You can translate technical modelling for senior stakeholders, make assumptions explicit, and shape the decisions that follow. Production experience: You have managed the full lifecycle of models in production - deploying, monitoring, and retiring them. You are comfortable coordinating chains of model dependencies across different teams. Commercial acumen: You understand how modelling supports business decisions and know when to make trade-offs between depth, delivery time, and value. Team development: You have a track record of hiring and developing data scientists, and establishing consistent standards for planning, peer review, and methodology. Technical background: You have a background in probability, statistics, or a related quantitative field such as mathematics or physics and can evaluate analytical work for conceptual soundness. Bonus Experience shaping an R&D or modelling agenda, including probabilistic or long-term forecasting work Experience in domains such as credit risk, lending, or customer lifetime value Experience representing a data science function externally (for example, industry events or publications) The salary We expect to pay from £120,000 to £170,000 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, we prioritise a culture of learning, growth, and support, and invest in the professional development of our team members. We value thought and skill diversity, and encourage you to explore new areas of interest to help us innovate and improve our products and services. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and clubs, like bingo, comedy nights, football, etc. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse Useful links iwoca benefits & policies Interview welcome pack.

Leeds, West Yorkshire, United Kingdom (Remote) Job Description The Role We are seeking a Data Analyst III to join our Sportsbook organization in the Product Analytics team. This role will focus on creating insights to drive product development and enhance business performance. The individual will partner closely with senior stakeholders in the Sportsbook Product team and be responsible for supporting them with testing, performance tracking, reporting, and ad-hoc queries. Responsibilities Develop a strong understanding of Fanatics Betting and Gaming, with particular focus on the Sportsbook. Build strong relationships with internal stakeholders, becoming a key contributor to data-driven decision-making within the Sportsbook Product team. Support the Sportsbook Product team with testing, analysis and reporting as they develop the product and optimize user experiences. Be a hands-on analyst, creating insights both regular and ad hoc. Gather and present insights metrics and activities to key stakeholders, becoming a trusted source of intelligence and advisory over time. Collaborate with Analysts and Data Scientists to find solutions to business problems. Remain current on technology and trends in data analytics and the sports betting & gaming industry. Experience A minimum of 5 years proven experience in an analytics role Previous experience in the betting and gaming industry is a significant plus Technical skills Degree in a relevant field, e.g. Mathematics, Physics, Statistics, Engineering, or Computer Science Proficiency in a statistical programming language, e.g. R or Python Proficiency with data visualization and reporting tools, e.g. Tableau or PowerBI Strong proficiency in data analysis or mathematical model development, with a strong understanding of statistics concepts such as multivariate testing Experience using code repositories, e.g. GitHub Experience with Amplitude a plus Non technical skills Demonstrated ability to partner closely with stakeholders, earning trust and prioritizing relationships Customer focused; highly outcome-oriented and data-driven; experienced in working in high-growth environments Logical and analytical approach to problem solving, with strong organizational and communication skills Show a keen interest in sports and the betting industry About Us Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods; collect physical and digital trading cards, sports memorabilia, and other digital assets; and bet as the company builds its Sportsbook and iGaming platform. Fanatics has an established database of over 100 million global sports fans; a global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences and retail partners, 2,500 athletes and celebrities, and 200 exclusive athletes; and over 2,000 retail locations, including its Lids retail stores. Our more than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally. About the Team Launched in 2021, Fanatics Betting and Gaming is the online and retail sports betting subsidiary of Fanatics, a global digital sports platform. The Fanatics Sportsbook is available to 95% of the addressable online sports bettor market in the U.S. Fanatics Casino is currently available online in Michigan, New Jersey, Pennsylvania and West Virginia. Fanatics Betting and Gaming operates twenty-two retail sports betting locations, including the only sportsbook inside an NFL stadium at Northwest Stadium. Fanatics Betting and Gaming is headquartered in New York with offices in Denver, Leeds and Dublin. Job Info Posting Date 08/11/2025, 02:38 PM Locations Richmond House, Leeds, LS16 6QY, GB (Remote)

Overview Luton/Hybrid Company When it comes to innovation and achievement there are few organisations with a better track record. Join us and you'll be able to play a big part in the success of our highly successful, fast-paced business that opens up Europe so that people can exercise their get-up-and-go. With almost 300 aircraft flying over 1,000 routes to more than 32 countries, we're the UK's largest airline, the fourth largest in Europe and the tenth largest in the world. Set to fly more than 90 million passengers this year, we employ over 10,000 people. Its big-scale stuff and we're still growing. Job Purpose With a big investment into Databricks and a large amount of interesting data this is the chance for you to come and be part of an exciting transformation in the way we store, analyse and use data in a fast paced organisation. You will join as a Data Platform Engineer joining a team of committed data specialists. As our data strategy begins to take shape, we aim to become the most data driven airline in the world. To achieve this goal, we want to use our data to improve all our business processes and that means allowing our teams to experiment and innovate as they deem fit. Within data platform engineering, this translates to building the frameworks and tooling data engineers, analysts and scientists utilise, enabling platform users to focus on value delivery Job Accountabilities Support the business in harnessing the power of data within easyJet. Work in a fast-paced agile scrum environment with a "release within sprint mentality". Responsible for building and maintaining deployment frameworks. Build best practice and constantly improve processes and core code bases. Work in partnership with Data Engineers to conform to/define patterns and standards. Work with Business Analysts to deliver against requirements and realise business benefits. Work with a mixed team of onshore and offshore resource to work with consistent standards and frameworks. Requirements of the Role Key Skills Required Technical Ability: has a high level of current, technical competence in relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. Complex problem-solving ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/CD). Experience with Apache Spark or any other distributed data programming frameworks. Comfortable writing efficient SQL and debugging on cloud warehouses like Databricks SQL or Snowflake. Experience with cloud infrastructure like AWS or Azure. Experience with Linux and containerisation (e.g Docker, shell scripting). Understanding Data modelling and Data Cataloguing principles. Understanding of Data Management principles (security and data privacy) and how they can be applied to Data Engineering processes/solutions (e.g. access management, data privacy, handling of sensitive data (e.g. GDPR). Experience with CI/CD tools, in particular GitHub actions. Hands-on IaC development experience with Terraform or CloudFormation. Hands-on development experience in an airline, e-commerce or retail industry Experience in event-driven architecture, ingesting data in real time in a commercial production environment with Spark Streaming, Kafka, DLT or Beam. Experience implementing end-to-end monitoring, quality checks, lineage tracking and automated alerts to ensure reliable and trustworthy data across the platform. Experience of building a data transformation framework with dbt. Familiarity with Databricks as a data and AI platform or the Lakehouse Architecture. What you'll get in return Competitive base salary Up to 20% bonus BAYE, SAYE & Performance share schemes Flexible benefits package Excellent staff travel benefits About easyJet At easyJet our aim is to make low-cost travel easy - connecting people to what they value using Europe's best airline network, great value fares, and friendly service. It takes a real team effort to carry over 90 million passengers a year across 35 countries. Whether you're working as part of our front-line operations or in our corporate functions, you'll find people that are positive, inclusive, ready to take on a challenge, and that have your back. We call that our 'Orange Spirit', and we hope you'll share that too. Apply Complete your application on our careers site. We encourage individuality, empower our people to seize the initiative, and never stop learning. We see people first and foremost for their performance and potential and we are committed to building a diverse and inclusive organisation that supports the needs of all. As such we will make reasonable adjustments at interview through to employment for our candidates. Business Area Primary Location