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JOB BAND: F CONTRACT TYPE: Permanent, Full-time DEPARTMENT: CRM, Data & Insights LOCATION: London, TVC PROPOSED SALARY RANGE: £116,000 - £137,000 depending on relevant skills, knowledge and experience. Plus London Weighting Allowance of £5,441 plus 25% bonus. The expected salary range for this role reflects internal benchmarking and external market insights. We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. We are BBC Studios A globally renowned media company borne of the BBC. We make and distribute the world's most sought-after TV, audio and digital content. Our ambition is to be the home of the most powerful, entertaining, and inspiring stories for people all around the world. Purpose of the Role We have built a successful data science team and are looking for a new Head of Data Science to take it to the next stage. You'll be working across all of BBC Studios' lines of business to understand where data science can make a difference. As data remains a developing capability within BBC Studios, this role will be central to driving data education and supporting the organisation's cultural evolution. This role will play a critical role in the education and culture change we are bringing to the business and act as a champion for the Data Science team, promoting its work and building understanding of the value data driven insights can bring to BBC Studio. Why Join the Team This role sits centrally in a warm and welcoming wider team with a strong senior leadership team. We have regular team meetings and away days where we share learnings and support each other's work. We have a vibrant social committee and participate actively in the departmental diversity & inclusion initiatives. Your Key Responsibilities and Impact Lead, manage and develop a high performing team of data scientists, including recruiting, coaching and supporting career progression across BBC Studios. Support the development & delivery of the BBC Studios' data strategy, working collaboratively with senior leaders across Data, Technology, Product, Marketing, Privacy and Commercial. Champion data science across the organisation, driving engagement, fostering cross team collaboration and communicating the impact of high value data science initiatives. Provide deep technical leadership, shaping the data science capability by designing, scaling and operationalising robust, modern data science solutions in partnership with cross functional teams. Play a key role within the senior Data leadership team, partnering with leaders in analytics, data engineering, data product and data management to steer strategic direction and technical standards. Own the delivery of impactful, production grade data science applications, including content development optimisation, automated decision making for monetisation, personalisation, metadata enrichment and other high value use cases. Work closely with Data Platform teams to build and evolve the infrastructure and tooling required to support Data Science at scale across BBC Studios. Your Skills and Experience Essential Criteria: Professional experience working as a data scientist, with hands on delivery of analytical or machine learning solutions. Degree in Data Science or a closely related quantitative field (e.g., Computer Science, Statistics, Mathematics). Proven management experience within a data science function, guiding technical delivery. Experience hiring and retaining data scientists at all levels Strong technical knowledge to guide teams and assess the feasibility and suitability of proposed solutions Demonstrated experience in managing and shaping the technological foundation needed to deliver high quality and rapid Data Science solutions. Demonstrated ability to engage and influence a broad range of stakeholders at varying levels of the organisation. Desired but not required: Experience within media is desireable not essential. Demonstrated ability to deploy positive ROI impact through Data science projects in other organisations (media industry is a bonus). Masters or PHD in mathematics, statistics or computer science or related field; OR equivalent experience. Next Steps We appreciate your interest in this position and understand how important this opportunity is to you. Due to the high volume of interest we may need to close the application period earlier than anticipated. This step is necessary to ensure we can provide a high level of attention and service to all applicants. Thank you for your understanding. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Redeployment The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of other applicants. Priority consideration means for those employees seeking redeployment their application will be considered alongside anyone else at risk of redundancy, prior to any individuals being considered who are not at risk. Information at a Glance This is your BBC At the BBC you can create and innovate in an inclusive environment while contributing to some of the world's best loved content, and the BBC's mission to inform, educate and entertain. Find out more about BBC Studios. Life at BBC Studios A flexible 35 hour working week with 26 days annual leave (plus bank holidays) and the option to buy an extra five days. Defined pension (up to 10% employer contributions). Caring and parenting support, 24/7 remote GP access, life assurance and accident benefit. BBC Studios is a world leader in operating sustainably both on and off screen. Find out more about BBC Group's science based Net Zero targets here. Career development in a values led purpose driven culture. Benefits may vary if you are joining on an FTC basis. Learn more about life at the BBC and our values in our candidate pack. Candidate Pack You belong We have a working environment where we value and respect every individual's unique contribution, so all our employees feel that they can belong, thrive and achieve their full potential. We want to attract the broadest range of talented people to join us. The more diverse our workforce, the better able we are to respond to and reflect our audiences in all their diversity. We welcome applications from individuals, regardless of age, gender, ethnicity, disability, sexual orientation, gender identity, socio economic background, religion and/or belief. Find out more about diversity, inclusion and belonging in our strategy below. Disability Confident We are a disability confident employer. If you need to discuss adjustments or access requirements for the interview process, or to carry out this role, please contact us via email and we'd be happy to discuss: . BBC Group and Public Services, Broadcasting House, Portland Place, London, United Kingdom, W1A 1AA. BBC Studios Distribution Limited, company no: , registered address: 1 Television Centre, 101 Wood Lane, London, United Kingdom W12 7FA.

At Genestack we are tackling the underlying computational and scientific challenges of bioinformatics in order to provide researchers with software tools that will streamline the discovery process and drive forward precision medicine, drug development, and bioinformatics research. We are seeking a senior or lead-level Software Engineer with a strong focus on LLMs and agentic workflows to join our team. In this role, you will be instrumental in integrating LLM-powered features into our bioinformatics applications, working across both prototype exploration and scalable production deployments. We're building tools that help scientists extract, explore, and reason over complex biological data - and we need someone who is both passionate about AI and motivated to deliver real value in life sciences. If you feel these resonate with you, even if you are still developing your hands on production experience with AI technologies, reach out to us with no hesitation. In this role, you will: Design and implement LLM-based features into our applications using modern AI frameworks and methodologies, including RAG and agentic workflows. Work across the AI lifecycle - from rapid prototyping to robust production systems - validating ideas and ensuring they meet real-world performance standards. Explore and evaluate emerging AI tools and technologies (both proprietary and OSS), recommending and integrating those that bring meaningful impact. Collaborate cross functionally with product, data, and bioinformatics teams to ensure AI solutions are useful, performant, and aligned with scientific needs. Ensure reliability and efficiency of AI applications, including optimization of model outputs, latency, token usage, and system robustness in production. Evaluate and integrate open source models, tools, and frameworks when appropriate, ensuring they meet production quality standards, Implement and optimize LLM model serving/tuning pipelines for scalable deployment, Contribute to prompt design and evaluation strategies, helping to mitigate risks like hallucinations and overconfidence in real user environments. Provide technical leadership and mentoring for engineers contributing to AI features, fostering shared learning and best practices. We would like you to have: 6+ years in software development, with a strong foundation in computer science principles, data structures, and algorithms. Ability and motivation to rapidly learn and apply AI frameworks and workflows to production environments Track record of technical leadership (design/architecture reviews, mentoring, cross team alignment) - AI specific production history not required. Excellent skills in Python and a solid understanding of Java, enabling seamless integration of AI components into existing systems. Familiarity with LLM APIs from various vendors (e.g., OpenAI, Anthropic) and frameworks like LangChain or LlamaIndex - prior production deployment is welcome but not strictly required. Conceptual understanding of vector databases, retrieval pipelines, and semantic search; practical exposure (PoCs, prototypes, hack projects) is welcome, and production experience is a plus, not a must. Working knowledge of agentic execution patterns and prompt engineering principles - able to reason about trade offs and guide implementation even if not previously shipped to production. Ability to evaluate open source models, tools, and frameworks and outline integration paths; direct production integrations are optional. Exposure to (or readiness to quickly learn) LLM model serving/tuning (e.g., vLLM, TGI, Triton). Genuine interest in applying AI technologies to advance bioinformatics and contribute to life science innovations. Strong ability to convey complex ideas clearly and collaborate effectively within a team. Excellent verbal and written communication skills in English. It would be nice for you to have: Familiarity with LLMOps practices and observability frameworks. Knowledge of bioinformatics or exposure to real biological datasets. Exposure to frontend development (e.g., React) is a plus We offer you: international team of professionals; fully paid sick leaves; onboarding and domain training for newcomers; flexible work schedule.

Meet DeepL DeepL is a global communications platform powered by Language AI. Since 2017, we've been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas. Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination. What sets us apart What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog. Research Scientist, Voice AI The Opportunity: Define the Future of Real-Time Voice Communication The Voice team is at the heart of DeepL's next chapter. We are a dedicated group of experts across Research, Engineering, Product, and Design, on a mission to solve the art of the possible for real-time voice translation. After launching our first breakthrough features in late 2024, we are scaling rapidly, targeting major meeting platforms, real-time communication channels, and a powerful Public API. We're looking for a seasoned Senior Research Scientist to help us tackle foundational challenges in this competitive and dynamic field. This isn't just an academic exercise; it's a chance to see your research deployed into products loved by millions worldwide. You will leverage our cutting-edge resources, including massive proprietary datasets and one of Europe's most powerful supercomputers, to build the next generation of speech translation systems. Your Challenge & Responsibilities Build and deploy custom, state-of-the-art AI models for transcription, voice translation, text-to-speech generation, and other challenging audio and text modalities. Train state-of-the art neural networks at scale on DeepL's dedicated GPU clusters, pushing the boundaries of model performance and efficiency. Aggressively optimize our end to end voice AI technology for demanding, low latency production environments where every millisecond counts. Work collaboratively within a large, world class tech organization, integrating your research with a strong support structure of ML Platform, HPC, and DevOps teams to ship your work to millions. Lead research initiatives that advance our core understanding of neural networks and their mathematical optimization, directly impacting our product's quality and capabilities. Participation in our on call rotation: You'll ensure the reliability and availability of our services by being available to join the team's shared on call rotation as needed. Qualities We Look For We are seeking a researcher with a strong practical background, a creative mindset, and a passion for solving hard problems with real world impact. You have a solid mathematical background and enjoy solving challenging problems, evidenced by a PhD or equivalent industry experience in mathematics, physics, computer science, or a related field. Proven experience building and shipping large scale deep learning models to production environments. Deep practical experience in Python and at least one modern machine learning framework such as PyTorch, TensorFlow, or JAX. A track record of leading self directed research projects that go well beyond academic exercises and deliver tangible results. High proficiency in English; knowledge of German or other languages is a plus. We are an equal opportunity employer You are welcome at DeepL for who you are-we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward! So bring us your personal experience, your perspectives, and your background. It's in our diversity that we will find the power to break down language barriers in the world.

Overview Element has an opportunity for a Finance Manager / Business Partner to join our growing team and support our Materials Testing Cluster in UK. This is a great opportunity to develop your Finance career within a Global testing, inspection and certification TIC business. Responsibilities Provision of financial data to GMs to partner and support business growth Producing management information, cash flow forecasts and provide commentary on results Preparation of annual budget and forecasting plans Performance management - including daily tracking and margin leadership metric reviews Partner with BU leadership Develop and improve control environment through partnering with ops/commercial teams on root cause and resolution action Regular site visits to partner with General Manager, operation directors and relevant functions Skills / Qualifications ACA, ACCA or CIMA preferred Proven experience as a Finance Manager / Business Partner Good ability to communicate clearly and partner with GM and senior stakeholders Good team working skill Positive attitude and pro-active thinking, initiative thinking and flexible approach Ability to identify issues and areas of improvement through analysis Excellent written and verbal communication skills Excellent numeracy skills and analytical mindset Displays a 'can-do' mentality which is focussed on targets and deadlines Persists in overcoming obstacles A self-starter; does not wait for others to solve problems Ability to prioritise workloads and work within a fast paced, changing environment Company Overview Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.

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 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

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)