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Job Title: Senior Data Scientist at Faculty Salary: £85,000-£105,000 Company Description: Faculty - Applied AI Leader Job Description Join Faculty's Frontier team to build Computational Twins-sophisticated AI replicas of complex organizational systems. You will lead the design and deployment of production-grade decision intelligence solutions for high-stakes sectors like healthcare and life sciences. This role blends deep technical ML expertise with strategic client leadership to solve critical real-world challenges at scale. Location: London, UK Why this role is remarkable Work at the forefront of Decision Intelligence creating "Computational Twins" that simulate entire business processes for organizations like the NHS and global pharma leaders. Join a PhD-heavy technical culture recently recognized by Gartner as a Visionary, now backed by Accenture's global infrastructure to scale your impact internationally. Enjoy high-end benefits including an unlimited annual leave policy, private healthcare, dental, and specialized professional coaching through Sanctus. What you will do Design and build AI-driven digital reflections of complex systems using supervised learning, time-series, and Bayesian methods to optimize critical decision processes. Lead cross-functional squads of engineers and designers to deliver end-to-end production-grade AI solutions directly to senior stakeholders. Mentor and develop emerging data science talent through technical leadership, code reviews, and potential line management responsibilities. The ideal candidate Possesses 4+ years of professional experience in data science or quantitative research with a strong foundation in statistics and mathematics. Demonstrates expert-level Python proficiency (NumPy, Pandas) and deep familiarity with frameworks like TensorFlow or PyTorch for production environments. Exhibits a business-focused mindset with the communication skills required to translate complex technical strategies into actionable value for commercial clients.

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

Location Department of Physiology, Anatomy and Genetics, Institute of Developmental and Regenerative Medicine (IDRM), IMS Tetsuya Nakamura Building, Old Road Campus, Roosevelt Drive, Headington, Oxford, OX3 7TY Contract & Job Type Full time, fixed term for 30 months About us At the Department of Physiology Anatomy & Genetics (DPAG) we undertake discovery science where we reassemble physiological processes at the molecular, cellular, tissue and systems level of organisation. In so doing we provide a bridge to translational medicine, and interface between physical and life sciences. We are committed not only to innovative research and the highest standard of teaching, but also to creating an inclusive and supportive working environment. Overview of the role We seek to recruit two highly motivated senior post doctoral researchers onto a transition fellowship award as part of the MRC BHF Centre in Advanced Cardiac Therapies (REACT). Established in 2025, REACT aims to develop novel therapeutic approaches to regenerate the injured heart and reverse established heart failure. This new Centre brings together world leading scientists and clinicians from King's College London and the Universities of Oxford and Edinburgh, combined with other academic partners and biotech and pharmaceutical industry representatives, to develop new medicines and deliver them to the injured or failing heart. The Centre will widely disseminate its progress and key findings to the public and patients and is firmly committed to training, career development and promoting early career researchers. The REACT transition fellow will be based at the Institute of Developmental & Regenerative Medicine (IDRM) within the Department of Physiology, Anatomy & Genetics and hosted by Professor Paul Riley - the Director and Cardiovascular lead for the IDRM and Co Director of REACT. IDRM is a flagship research institute at the University of Oxford and provides a dynamic, collaborative research environment. With research groups and, at full capacity, around 240 research staff, IDRM investigates how understanding normal development can inform strategies to regenerate diseased or injured tissues. Research spans three major themes: cardiovascular science, neuroscience and immunology, addressing key organ systems targeted by non communicable diseases. The REACT Transition Fellowship programme aims to support and develop outstanding postdoctoral researchers, enabling them to secure competitive external funding and to foster the next generation of leaders in advanced cardiac therapies aligned with the strategic mission of REACT and the IDRM. The successful Fellow will receive a £150,000 transitional award over two and a half years in addition to salary. This funding may be used flexibly, for example to support a research assistant (where justified), consumables, and travel for conferences or collaborative placements. The Fellow will retain full budgetary control of the award. The Fellowship is intended to facilitate researchers in transitioning to independence through externally funded, highly competitive fellowship or career development awards to enable them to progress to Group Leader status through securing substantial external funding. Within the first months, the Fellow is expected to apply for follow on external funding, aiming to secure a competitive 5 8 year fellowship or Career Development Award (CDA) from UKRI (BBSRC, MRC, EPSRC), BHF, Wellcome Trust, or an equivalent funder. The Fellow will be supported by Professor Paul Riley and senior REACT and IDRM colleagues throughout the application process, with successful funding representing the next step toward full independence. During the Fellowship, the awardee will be affiliated with Professor Riley's research group and listed accordingly on the IDRM website, to ensure mentoring and support. However, the Fellow will manage their own budget, recruit staff as appropriate, and lead their research programme and outputs, including academic publications. Selection Criteria Applicants should have a PhD in a related field and already have demonstrated several years of postdoctoral experience; distinctive research achievements, a strong publication record, and a compelling long term research vision. The successful candidate must actively pursue interdisciplinary collaborations and demonstrate emerging independence in areas such as target discovery, cardiac delivery and clinical translation that will add strategic value to REACT and the IDRM. What we offer Your wellbeing at work matters, so we offer a range of family friendly and financial benefits including: 38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and sports clubs Discounted bus travel and Season Ticket travel loans EEO Statement We, as a Department and Community, will be considerate and welcoming of all people, regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation, gender identity, and socio economic background. We acknowledge societal inequalities and how these impact us, and those around us, personally and professionally. Our policies, practices and Respectful Behaviours Framework underpin this commitment. DPAG and Sustainability We have signed up to The Laboratory Efficiency Assessment Framework (LEAF) and Green Impact, actively implementing and encouraging eco friendly practices that reduce waste, promote energy efficiency, and promote biodiversity.

About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting-edge media intelligence and data solutions, world class creativity, next generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. What will your day look like? As a Salesforce Developer, you are responsible for understanding the technical structure of a project. Your job will be to identify client requirements by researching concept, strategy and target for the project, followed by developing automations, coding and producing technical specifications, estimates, deployment plans and test methods. Furthermore, your tasks include: Contributing to product implementation/customisation Testing and maintaining client applications and platforms Providing project feedback and updates, using agile methodologies like Scrum and Kanban. Who are you going to work with? You will become part of an exciting and challenging professional environment, working closely with Architects, Developers and Technical Project Managers within the technical team, currently consisting of 150+ colleagues. But you will also work with Data Specialists and Designers outside of your department. Our common feature is that we are all competent, respectful teammates who go the extra mile to help one another. We value room for diversity, and you will get a chance to put a personal touch on your daily tasks while developing your professional skillset. We are proud of our multicultural environment and easy going, dynamic atmosphere where we not only work together, we are great at having fun as well. What do you bring to the table? You are an outgoing and self motivated person who contributes positively to the working environment with your team player attitude. Your previous experience with being a trusted adviser for clients and colleagues means that you are not afraid to express your opinion, and your organised approach helps you meet deadlines and break down projects into manageable chunks. In addition, you have: Experience with Salesforce Marketing Cloud, and it is a plus if you have experience with Adstudio, Social Studio and Einstein 4+ years of developer experience at an agency, working with digital sales and/or marketing solutions Extensive knowledge of technologies such as SQL, AMPscript and JavaScript (marketing domain knowledge is a plus) Experience in Workflow Engines as well as HTML and CSS plus knowledge of one or more programming languages Great communication skills (in English), allowing you to make complex problems understandable and manageable. A leader in personalized customer experiences the company is a world leading Centre of Excellence that helps businesses humanize the relationship between the brand and the customer through hyper personalization at scale, marketing automation and CRM. With the brain of a consultancy, the heart of an agency and the power of technology and data, we work with some of the world's most admired brands to help them on their transformation journey to becoming truly customer centric. Together, we are 1000 + technology specialists, data scientists, strategic thinkers, consultants, operations experts, and creative minds from 55+ nationalities. A global network We are part of the global VML network that encompasses more than 30,000 employees across 150+ offices in 60+ markets, each contributing to a culture that values connection, belonging, and the power of differences. WPP (the company) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: New York, NY, USA; Mountain View, CA, USA; London, UK Minimum qualifications Bachelor's degree in Computer Science, IT, a related field, or equivalent practical experience. 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript). Preferred qualifications Bachelor's or Master's degree in Computer Science, Data Science, or a related field. 5 years of experience in systems design, product management, or software engineering roles. About the job At Google the company our mission is to build the world's first general-purpose learning agent. Central to this mission is the complex task of measuring the intelligence of our prototypes. As a Software Engineer, you will be working with the cutting edge AI agents developed by our exceptional team of Machine Learning and Neuroscience research scientists. Your responsibilities will include everything from creating systems for agent testing using 2D and 3D games to developing test problems within physics simulators. You will create graphical visualization of results, build competitive agent leaderboards and test new algorithms on robots. To succeed in this role you will need to have a strong foundation in software engineering and enjoy working on a wide range of challenging problems within a mission-driven team. Shape the future of AI by building the core infrastructure and tooling that powers Gemini's agentic capabilities. Through advanced data curation and creation, you will drive the development of next-generation evaluation frameworks: SmithBench: Our gold-standard benchmark testing whether AI agents can autonomously execute complex, end-to-end, first-party Google engineering workflows (such as CL lifecycles, bug investigations, and pipeline orchestration). RE-Bench: Our benchmark designed to measure agent performance on highly complex, long-horizon research engineering tasks. Whether you are designing environments to record programmatic agent-API interactions or building computer-control systems to capture real-time human and model trajectories, your tooling will deliver the foundational training and evaluation data that accelerates AI capabilities across models, harnesses, and skills. Artificial intelligence will be one of humanity's most transformative inventions. At Google the company, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $262000 - $365000 (USD) + 25% bonus target + bonus + equity + benefits Responsibilities Design and create novel data tooling to accelerate Gemini model evaluation, training, and hill climbing to improve agentic capabilities. Facilitate ingestion and creation of corpora representing complex worlds, and record human, agentic, and hybrid trajectories through the Reinforcement Learning (RL) environments. Build scalable data collection pipelines bridging capturing multi-turn, tool-using agent interactions and enabling rapid iteration on environment complexity and reward design. Create human-in-the-loop annotation and trajectory review tooling, analytics dashboards, and agentic orchestration frameworks to continuously generate, curate, and validate high-signal training corpora at scale. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters. The Position As a machine learning engineer in AI Enablement, you will be working closely with folks that span across Computational Scientists, Research Scientists, AI/ML experts, Product leaders, DevOps, and everyone in between. You'll build, own, and constantly improve scalable AI/ML based systems that unlock the potential of our diverse scientific data, accelerating the discovery and development of life changing treatments for patients. Design, develop, and test robust, scalable, and maintainable AI/ML facing scientific web applications and backend systems. Build tools to evaluate AI/ML model performance and establish new ways to understand AI quality. Partner with product managers and scientists to understand user needs, shape requirements, and translate them into actionable technical specifications. Develop and maintain systems for collecting, structuring, and storing diverse scientific data that support advanced analytics, machine learning, and other data driven initiatives. Implement, adopt, or evaluate new AI/ML algorithms and analytical techniques. Contribute to architectural decisions, code reviews, and the evolution of our development processes. Be willing to span the stack and contribute where needed, even outside of your core area of expertise. Stay up to date with emerging technologies and industry best practices and adopt a culture of continuous learning, collaboration, and curiosity. Who You Are: Master's or Ph.D. in Computer Science or similar technical field, or equivalent experience Established professional experience in machine learning engineering roles. Strong proficiency with AI/ML frameworks, libraries, and toolsets. Expert knowledge of statistics, machine learning theory, and algorithms. Strong knowledge of ML performance optimization, GPU best practices. Experience with Kubernetes, relational databases, NoSQL databases, or data lakes, and experience working on cloud native architectures in public clouds (ideally AWS). Proven understanding and application of engineering best practices. Excellent communication skills and ability to build trusted partnerships with internal and external collaborators. Ability to quickly acquire new technologies and programming languages and a passion for continuous learning. Preferred But Not Required: Experience with imaging or biological data and processes is a strong plus. Experience working with scientists or in a research environment is advantageous. Experience with workflow automation, GenAI, and/or agents is a plus. Additional Information This position requires onsite work 3 days per week No relocation support Equal Opportunity Employer The statements herein are intended to describe the general nature and level of work being performed by employees, and are not to be construed as an exhaustive list of responsibilities, duties, and skills required of personnel so classified. Furthermore, they do not establish a contract for employment and are subject to change at the discretion of Roche Products Ltd. At Roche Products we believe diversity drives innovation and we are committed to building a diverse and flexible working environment. All qualified applicants will receive consideration for employment without regard to race, religion or belief, sex, gender reassignment, sexual orientation, marriage and civil partnership, pregnancy and maternity, disability or age. We recognize the importance of flexible working and will review all applicants' requests with care. At Roche difference is valued and we are proud to be an equal opportunity employer where you are encouraged to bring your whole self to work.

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. Role Description The AI Security Institute's Research Unit is looking for motivated and talented Software Engineers to join AISI's Core Technology Team. We are looking for exceptional candidates at all experience levels, from junior through to senior or staff, to work in small teams on a range of critical research-oriented software and infrastructure. In this role, you'll work with cutting-edge technologies on research problems with real-world impact, and receive mentorship and coaching from your manager and the technical leads on your team. You'll also regularly interact with world-famous researchers and other incredible staff (including alumni from Anthropic, DeepMind, OpenAI, Google, Apple, and professors from Oxford and Cambridge). About our Core Technology Team AISI Core Technology Team comprises several teams building tools and infrastructure used across all of our research work. This includes projects like Inspect (our open-source evaluation framework), systems for running evaluations at scale, and hosting frontier open-weights models for evaluations or human studies. As a software engineer on one of these teams, you might: Add a feature to one of our "sandbox plugins" for Inspect, supporting advanced agentic evals with safe mechanisms to let models write and execute arbitrary code Implement support for a new class of open-weights model on our model hosting platform Support a research team with designing custom infrastructure for a new research project Collaborate with the open-source community on a feature in Inspect or Inspect's plugin ecosystem Assist with an evaluation testing exercise of a frontier AI model, debugging issues that appear in Inspect from API changes in the lab's latest SDK Person Specification You may be a good fit if you have some of the following skills, experience and attitudes: Writing production quality code at fast pace. Designing, shipping, and maintaining complex tech products. Improving technical standards across a team, through mentoring and feedback. Strong written and verbal communication skills. Experience working with a world class research team comprised of both scientists and engineers (e.g. in a top-3 lab). Python experience, including understanding the intricacies of the language, the good vs. bad Pythonic ways of doing things and much of the wider ecosystem/tooling. Experience building and maintaining systems on AWS or other cloud providers using infrastructure-as-code. Motivated candidates are encouraged to apply even if you don't meet all the above criteria. Required Experience We select based on skills and experience regarding the following areas: Writing production quality code Writing code efficiently Python Verbal communication Teamwork Interpersonal skills Desired Experience We additionally may factor in experience with particular areas like: Cybersecurity expertise What We Offer Impactyoucouldn'thave anywhere else Incredibly talented, mission-drivenand 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, AIresearchand adjacent sciences. Ifyou'retalented and driven,you'llown important problems early. 5 days offand annual stipends forlearning and development, andfunding 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),orwhere applicable,optionto work in similar government offices in Birmingham, Cardiff, Darlington, Edinburgh,Salfordor 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-widebreaksand 3 days off for volunteering. Generous paid parental leave (36 weeks of UK statutory leave shared between parents + 3 extra paid weeks + option foradditionalunpaid 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. These benefits apply to direct employees. Benefits may differ for individuals joining through other employment arrangements such as secondments. Annual salary is benchmarked to role scope and relevant experience. Most offers land between £65,000 and £145,000 made up of a base salary plus a technical allowance (take-home salary = base + technical allowance). An additional 28.97% employer pension contribution is paid on the base salary. This role sits outside of the DDaT pay framework given the scope of this role requires in depth technicalexpertisein frontier AI safety,robustnessand advanced AI architectures.

Job Overview We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology team, you serve as a seasoned member of an agile team to design and deliver trusted market leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. You will work on challenging Cloud native data, backend engineering, and AIML engineering, helping us industrialize AI/ML models at production scale. This role is a technical hands on Engineering role. Experience with data science/ML modeling is advantageous but not essential to this role. Job Responsibilities Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems Creates secure and high quality production code and maintains algorithms that run synchronously with appropriate systems Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Builds engineering stack required for Data and AIML products, including data engineering, backend engineering, Cloud infra DevOps and MLOps Designs and implements data engineering solutions, leveraging modern big data technologies Drives adoption and governance of approved AI assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI assisted code review/refactoring, test acceleration, release readiness, incident/root cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain. Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI assisted development and automation capabilities, to improve the value realized by automation at scale. Contributes to software engineering communities of practice and events that explore new and emerging technologies Embraces a passion for learning, problem solving, creative thinking and a can do attitude. Required Qualifications, Capabilities, and Skills Formal training or certification on software engineering concepts and proficient applied experience Hands on practical experience in system design, application development, testing, and operational stability Proficient in coding in one or more languages - Python Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages. Overall knowledge of the Software Development Life Cycle Proven track record in system design, architecting and developing microservices, distributed systems and data intensive applications Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies Practical experience developing production scale Cloud native data engineering solutions in commercial environments Familiarity with Cloud Data engineering services (e.g., ETL, Glue, S3, Athena) and MLOps stack Demonstrated experience leading effective use of enterprise authorized AI assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls. Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds Preferred Qualifications, Capabilities, and Skills Experience with data, AWS and AIML engineering in commercial settings, preferably in the financial sector Experience working on recommendation systems, LLM applications or other AI/ML systems Practical experience with Kubernetes, EKS, Docker, MLOps Prior exposure to LLMs, RAG, Knowledge Graph Technologies, OpenSearch and vector databases Prior experience collaborating with data scientists Equal Employment Opportunity We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

United States Digital Space LLC is seeking a Data Scientist to join their Research, Analytics & Data Science team. The role focuses on leveraging data to support product strategy and enhance customer understanding. Candidates should have a minimum of 5 years of experience in data analysis and strong SQL skills. Key responsibilities include designing data pipelines, collaborating with product teams, and utilizing AI tools to drive insights. Benefits include competitive salary, flexible holidays, and comprehensive health insurance.

United States Digital Space LLC in Greater London is looking for a data-driven professional to join the Research, Analytics & Data Science (RAD) team. The role requires designing AI-powered internal tools, collaborating closely with GTM Systems, and delivering measurable business impact through data-driven decisions. Key responsibilities include owning the full lifecycle of tools, from design to production, and working in a hybrid policy environment that fosters communication and collaboration. Benefits include competitive salary, flexible holidays, and health insurance, making it a rewarding opportunity in a fast-growing start-up.

Job number: NAT02206 Faculty: Faculty of Natural Sciences Department: Department of Chemistry Salary: £69,365- £79,257 per annum Location: White City Campus - Hybrid Contract type: Full time - Fixed term Posting End Date: 25 Jun 2026 About the role This is an exciting opportunity to be involved in the design and implementation of novel digital technologies in collaboration with a wide range of academic and industrial partners who are part of AIchemy - an AI Hub involving the company, the University of Liverpool, and a large consortium of academic and industrial partners. The Senior Software Engineer post will be ideal for an individual interested in working creatively across a range of projects and experts to deliver software from data infrastructure to novel AI, working closely with academics in Chemistry and multiple other departments, as well as partners across the larger consortium. You will also work closely with the AIchemy leadership team, project management team, researchers and other software and data scientists to deliver on objectives. What you would be doing You will be responsible for leading the technical discussion on project research requirements, to deliver the design, development of end-to-end software solutions to achieve research objectives involving stakeholders from the company, the University of Liverpool and a consortium of academic and industrial partners. As a highly motivated software engineer, you will be developing the key infrastructure for the development and use of AI in Chemistry and have a clear framework of accountability, while exercising substantial personal responsibility and autonomy, applying novel technologies to diverse and meaningful challenges. This will include being able to provide expert advice, guidance and support to other members of the team to define software requirements and develop a high-level plan for development as part of an agile process. What we are looking for A postgraduate degree in Computer Science or Chemistry with strong emphasis on computational chemistry/machine learning and software development. Significant experience of full cycle software development, including design, implementation and deployment. Experience with Windows and Linux environments. Experience coding with at least one industry-standard language commonly used for data analysis and web applications e.g. Python. What we can offer you This role provides an exciting opportunity to be involved in one of the nine EPSRC funded AI Hubs funded to deliver next-generation innovations and technologies. You will become part of Team AIchemy and have the opportunity to work with partners across the Hub and with other AI hubs. The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity. Benefit from sector-leading salary and remuneration package (including 41 days off a year and generous pension schemes). Get access to a range of workplace benefits including a flexible working policy from day 1, generous family leave packages, on-site leisure facilities and a cycle-to-work scheme. Interest free season ticket loan schemes for travel. Be part of a diverse, inclusive, and collaborative work culture with various staff networks and resources designed to support your personal and professional wellbeing. Further information This is a full time and fixed term role until 31 January 2029. You will be based at the White City Campus. Hybrid working may be considered for this role. Staff working in roles that are suitable for hybrid working will normally be expected to work 60% of their time onsite. The opportunity for hybrid working will be discussed at interview. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment. For further details on the role, please contact Prof Kim Jelfs -

Senior Software Engineer (AI) Department: Tech - AI and Data Engineering Employment Type: Permanent - Full Time Location: Oxford, UK Description Please note that we are open to considering candidates who require visa sponsorship (subject to eligibility and company approval) Aurora helps governments, investors, and utilities make billion dollar decisions on the journey to net zero. Based in Oxford, you will work in a dynamic and growing engineering organisation that builds cloud based software to track and model power grids around the world. As a Senior Software Engineer on the AI team you will build systems where LLMs autonomously plan, and call tools, to navigate large, multi dimensional, fast evolving data. Your work will amplify the value of Aurora's data, models, and forecasts to researchers, investors, and policy makers around the world, and directly impact the decisions that drive the decarbonisation of grids around the world. You will work in a small, fast paced team that releases changes multiple times a day. The successful applicant will be an excellent problem solver, a strong team player, and a proven ability to take big projects from conception to production. Key Responsibilities Manage a team of Software Engineers and Data Scientists Own projects from end to end, from first conversations with users through to production systems Work with modelling and data teams to embed proprietary insights into production systems Deploy agentic systems that enable fast, multi dimensional, data driven decisions Skills, Knowledge and Expertise Required attributes: 10+ years developing impactful, mission critical backend systems The ability to work in fast paced, high ownership environments Excellence in one or more language (we mostly use Python) Strong discipline in testing and automation Experienced, judicious user of AI coding tools Previous experience managing teams of 5+ engineers An exceptional team player - low ego, high initiative Genuine interest in the transformation of energy markets and infrastructure Desirable attributes: Hands on experience building LLM based systems Experience testing non deterministic systems Understanding of statistics and inferential methods LangGraph, RAG, MCP, MLOps, IaaC, AWS What we offer Some of the benefits we include are: Private Medical Insurance Dental Insurance Parental Support Salary Exchange Pension Employee Assistance Programme (EAP) Local Oxford Discounts Cycle to work Scheme Flu Jabs At AER, we are committed to offering flexibility in the way we work. Most of our roles are hybrid with a mix of in office/home working and potentially adjustable working hours. Let's discuss what works for you and AER during the interview process. The Company is committed to the principle that no employee or job applicant shall receive unfavourable treatment on grounds of age, disability, gender reassignment, race, religion or belief, sex, sexual orientation, marriage or civil partnership, pregnancy, and maternity.

Job Description Are you an experienced Systems Engineer or Scientist who loves contributing to the UKs Defence Industry and making impactful change? We are recruiting for Senior and Principal Systems Engineers in our growing Detectors Area of Business in Southampton, who can apply their expertise to deliver cutting edge Electro Optics/InfraRed (EO/IR) capabilities across a diverse range of projects. Your Impact Our Systems Engineers span across a range of activities that help pull together all the necessary engineering and technology strands into a high performance system. As a Systems Engineer, you will bridge the gap between the theoretically possible and the practically implementable. What we build is exciting, interesting, challenging and complex. A diverse product portfolio of EO/IR technologies, with each programme at a different stage in its development lifecycle. Typical work you might be involved in Applied research: Early research looking into exploiting new EO/IR technologies or concepts. Requirements capture, definition, development, modelling, manufacture, test, and verification of EO/IR technologies. Applying and improving systems engineering processes across the full lifecycle. Collaborating with integrated project teams to design, build, and deliver EO/IR equipment. To be successful you will demonstrate passion for your trade by instilling a systems thinking approach based on experience forming and leading high performing teams. You will be able to influence those you work with, thrive in dynamic environments, demonstrate resilience when faced with adversity, and be able to make decisions quickly under pressure while setting a clear technical vision for the project team. Given the extensive people engagement nature of the work, we are still able to offer custom working that allows for a combination of home and on site working i.e. flexible working delivering effective results. What you'll bring You will be educated within a STEM area and have proven domain experience in EO/IR technologies, with the following attributes: Requirements capture and management, System definition and development, Modelling and analysis, Verification and validation, Full engineering lifecycle application, Experience with Model Based Design (MBD) tools and methodologies to support describing and analysing through the problem to implementation domains, Experience working in product development teams delivering Engineering artefacts successfully, Experience in managing and collaborating with internal/external stakeholders, Proven decision making skills in a high complexity, dynamic environment, Excellent communication and interpersonal skills, proven ability to build trust and respect at different levels, Motivation, tenacity and determination, with a desire to deliver outputs and results. The following experience/skills are very desirable: Working experience and/or understanding of electronics design, PhD, EngD or Post graduate degree in electro optics, Practitioner level ability using Model Driven Engineering tools e.g. Cameo Systems Modeler, MATLAB, Simulink, Experience in using a requirement management tool to manage relationships of requirement and other project artefacts (DOORS, Polarion, Jama). This is not an exhaustive list, and we are keen to hear from you even if you might not have experience in all the above. The most important skill is a good attitude and willingness to learn. Security Clearance This role is subject to pre employment screening in line with the UK Government's Baseline Personnel Security Standard (BPSS). An additional range of Personnel Security Controls referred to as National Security Vetting (NSV) may apply, this could include meeting the eligibility requirements for The Security Check (SC) or Developed Vetting (DV). For more information and guidance please visit: Why join us At Leonardo, our people are at the heart of everything we do. We offer a comprehensive, company funded benefits package that supports your well being, career development, and work-life balance. Whether you're looking to grow professionally, care for your health, or plan for the future, we're here to help you thrive. Time to Recharge: Enjoy generous leave with the opportunity to accrue up to 12 additional flexi days each year. Secure your Future: Benefit from our award winning pension scheme with up to 15% employer contribution. Your Wellbeing Matters: Free access to mental health support, financial advice, and employee led networks championing inclusion and diversity (Enable, Pride, Equalise, Armed Forces, Carers, Wellbeing and Ethnicity). Rewarding Performance: All employees at management level and below are eligible for our bonus scheme. Never Stop Learning: Free access to 4,000+ online courses via Coursera and LinkedIn Learning. Refer a friend: Receive a financial reward through our referral programme. Tailored Perks: Spend up to £500 annually on flexible benefits including private healthcare, dental, family cover, tech & lifestyle discounts, gym memberships and more. Flexible working: Flexible hours with hybrid working options. For part time opportunities, please talk to us about what might be possible for this role. Primary Location GB - Southampton Contract Type Permanent Hybrid Working Hybrid

User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.

User Researcher (CGI) Shape evidence led digital services that improve outcomes for users, organisations, and communities. Work within multidisciplinary teams (design, product, technology) to uncover user needs, influence decision making, and support the delivery of inclusive and impactful digital services. Conduct user research studies and interpret findings. Translate insights into design recommendations. Collaborate with stakeholders to inform product strategy. Service Designer (CGI) Help design user centred services that solve real world challenges and deliver meaningful outcomes for citizens and organisations. Co create intuitive and accessible service designs. Facilitate design workshops with multidisciplinary teams. Advise on user experience and accessibility standards. Senior Service Designer (CGI) Play a key role in shaping user centred, end to end services that meet real world needs and deliver measurable value. Lead service design initiatives and influence organisational change. Mentor less experienced designers. Drive innovative solutions across the service lifecycle. Interaction Designer (CGI) Design intuitive, accessible, and user centred government services that improve how people interact with critical public sector systems. Transform research insights into high fidelity digital experiences. Ensure compliance with government accessibility best practices. Advise on interaction design strategy. Solutions Architect Designer (Telecoms Company) Design and implement systems architecture that meets business needs and incorporates emerging technologies. Develop functional specifications and architecture models. Lead multi platform solution delivery. Maintain Enterprise Architecture documentation. Data Scientist - Energy (Telecoms Company) Drive development and delivery of solutions that strengthen electricity network performance and resilience. Collaborate with Distribution Network Operators to identify operational challenges. Build models and algorithms to support decision making. Engage with universities and research partners. Technical Architect (LA International) Design and produce architectural artefacts for end to end solutions, supporting delivery and implementation. Create high level to detailed solution architecture. Guide product groups in architecture governance. Review and assure quality of artefacts delivered by suppliers. Linux Systems Administrator (Rise Technical Recruitment) Maintain, automate, and optimise Linux based systems underpinning a cloud hosted SaaS platform. Administer Ubuntu and Debian environments. On call incident response and system optimisation. Automate provisioning and deployments using Ansible.

Fin is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences. Our AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always on customer support across the customer journey - from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end to end across every channel, with minimal set up and integration. Fin can also be combined with our natively integrated the company help desk for one single system that is designed to meet the needs of modern day support teams. Founded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers. What's the opportunity? The Research, Analytics & Data Science (RAD) team at Fin use data and insights to drive evidence based decision making. We are a team of data scientists and product researchers who use data - both big and small - to unlock actionable insights about our customers, our products and our business. We generate insights that build customer empathy, drive product strategy and shape products that deliver real value to our customers. If you get really excited about asking the right questions, exploring patterns in data and surfacing actionable insights that drive strategic decisions, then this role is for you. Data Scientists in RAD partner with teams across R&D to help Fin make sense of our users, our products and our business, using metrics and data. This role will enable you to drive key data projects that directly impact our customers and millions of end users who communicate via our messaging platform daily. What will I be doing? You'll partner with product teams to help them identify important questions and answer those questions with data You'll work closely with product managers, designers and engineers to develop key product success metrics, to set targets, to measure results and outcomes, and to size opportunities You'll design, build and update end to end data pipelines, working closely with stakeholders to drive the collection of new data and the refinement of existing data sources and tables. You'll partner closely with product researchers to build a holistic understanding of our customers, our products and our business. You'll influence our product roadmap and product strategy through experimentation, exploratory analysis and quantitative research You'll build and automate actionable models and dashboards You'll craft data stories and share your findings and recommendations across R&D and the broader company You'll drive and shape core RAD foundations and help us improve how the RAD org operates What skills do I need? 5+ years experience working with data to solve problems and drive evidence based decisions Excellent SQL skills and experience applying analytical and statistical approaches to problem solving Proven track record of initiating and delivering actionable analysis and insights that drive tangible impact with minimal supervision Excellent communication skills (technical and non technical) and a focus on driving impact Strong growth mindset and sense of ownership. Innate passion and curiosity Experience with a scientific computing language such as R or Python Bonus skills & attributes Experience with BI/Visualization tools like Tableau, Superset and Looker Experience with data modeling and ETL pipelines Experience working with product teams Experience leveraging AI tools to boost efficiency and creativity across the data science workflow - from ideation and coding to analysis and communication Benefits We are a well treated bunch, with awesome benefits! If there's something important to you that's not on this list, talk to us! Competitive salary and equity in a fast growing start up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Equal Employment Opportunity Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state or local law.

What's the opportunity? The Research, Analytics & Data Science (RAD) team turns insight into action. We uncover customer, product, and business insights and translate them into tools and decision systems embedded directly into GTM workflows. AI has unlocked an entirely new generation of internal tools for our GTM teams. We're evolving from static dashboards to LLM and agent-powered workflows that do the work: auto-researching accounts, summarizing prior interactions, drafting personalized outreach, flagging renewal risk, and assembling decks and docs - enabling Sales and Success to focus on high-value conversations. The RAD team partners closely with GTM Systems to define problems, solutions, and measure impact - from prototype to production. This is a high-ownership role for someone who thrives in ambiguity, is energized by solving complex real-world problems, and is motivated by seeing their work translate into tangible business impact. What will I be doing? Design, evaluate, and ship AI-powered internal tools for GTM use cases - including account research & summaries, next-best-action recommendations, renewal propensity, pipeline risk detection, QBR/autobrief generation, and post-call summarization & follow-ups. Work end-to-end: Own the full lifecycle, from problem definition and data modeling to building production-ready tools, including writing Python backends and React frontends. Prototype fast, ship to learn: Rapidly build with users, then productionize quickly to iterate and deliver impact. Instrument for adoption and outcomes: Define success through real usage and measurable business impact (e.g., improved win rate, conversion, expansion). Evangelize and enable: Document playbooks, run enablement sessions, and help leaders operationalize new tooling across teams. What skills do I need? Proven track record of applied data science with measurable GTM impact - you've shipped models or tools that moved metrics like conversion, cycle time, or retention. LLM/ML application experience - familiarity with RAG, prompt and tool design, vector search, evals and have leveraged AI for development. Excellent SQL skills and fluency in Python or R, with experience applying analytical and statistical methods to business problems. Experience with orchestration tools (e.g., DBT, Airflow) for deploying reliable data workflows. Strong communication and empathy - ability to translate complex data concepts for non-technical stakeholders. Collaborativeproduct mindset- comfort working closely with Sales and Success teams to turn ambiguity into clear deliverables. Benefits Competitive salary and equity in a fast-growing start-up We serve lunch every weekday, plus a variety of snack foods and a fully stocked kitchen Regular compensation reviews - we reward great work Peace of mind with life assurance, as well as comprehensive health and dental insurance for you and your dependents Open vacation policy and flexible holidays so you can take time off when you need it Paid maternity leave, as well as 6 weeks paternity leave for fathers, to let you spend valuable time with your loved ones MacBooks are our standard, but we're happy to get you whatever equipment helps you get your job done Policies Fin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week. We have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our core values. Fin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.

The Opportunity We're seeking a passionate Data Scientist to own the end-to-end implementation and design of data science applications for various clients. You will join a growing practice and champion and actively contribute to the growth of the discipline, enabling the ongoing growth of the data science capability. You'll join a talented team of dynamic and driven professional problem solvers; creative thinkers and solutions builders who thrive on helping clients meet the most exciting digital transformation challenges. Make a difference and advance your career by helping deliver some of the UK's most important projects, making the world a smarter, safer, greener, and healthier place. At a certified Great Place to Work you'll experience a dynamic and nurturing environment that rewards initiative and flexibility and enjoy a career path tailored to your own aspirations. Key Accountabilities and Responsibilities Senior Data Scientists enable the design, development, integration and testing of complex, high quality data science solutions and services to meet user needs, continually improving the application of best practice patterns, methods and tools. This includes: Build effective working relationships with client counterparts in your practitioner domain, and those of a partner/3rd party organisation. Own the end-to-end implementation and design of data science models/components, seeking guidance and input from Lead and Principal Data Scientists where necessary. Help structure and provide technical assurance for the work of less experienced practitioners, enabling them to maximise quality and velocity. Monitor the application of the methods and requirements, pro-actively managing technical risks and issues. Collaborating with practitioners from other disciplines (e.g. UCD, Engineering) to ensure the solution meets user and business needs. Take technical responsibility for the delivery of high-quality data science services on smaller engagements, across all stages (design, build, test, deploy, operate and continually improve), in line with best practice. Work with Delivery Managers to inform estimates for research and development activities, enabling them to plan technical activities, including how teams and work should be structured. Proactively identify and help mitigate technical risks, issues, assumptions and dependencies. Maintain relevant, up-to-date practitioner skills through training and accreditation, including a domain-relevant accreditation/certification at professional level. Being an active member of the Data Science discipline, identifying area for growth across the business, and providing coaching for less experienced practitioners. Requirements Background in Agile delivery environments, delivering software solutions in controlled increments (e.g., following Scrum, Agile Delivery phases, etc.). Experience working with cloud-based solutions and technologies (Google Cloud Platform, AWS, Azure). Hands on knowledge of designing and implementing solutions capable of handling sensitive data (e.g., Personally Identifiable Information). Strong knowledge of a programming languages for data science (Python, R, etc.) including best practices using this language to write robust software. An understanding of data governance and best practices to ensure data protection. Experience planning technical activities and structuring work for a team. Being able to provide commercially robust estimates of development activities. Experience providing practitioner guidance to junior colleagues and peers. Understanding of how to operationalise and deploy a Data Science solution in a live environment. A bachelor's degree in a STEM field. Desirable skills and experience Experience working in a professional services/consultancy environment preferred. Experience solving natural language processing problems. Experience creating generative AI applications, such as chatbots or RAG retrieval systems. Stay up to date with cutting edge of AI, reading research papers, attending conferences, etc. Ability to work effectively across multiple teams and projects. Ability to explain and simplify complex information to stakeholders, gathering and translating business requirements, anticipating any obstacles to information flow. Understanding of different databases (Relational and NoSQL) and optimising queries for effective data manipulation. A master's degree or PhD in a STEM field. Personal Qualities You are hands on, working within a team to solve complex software and feature problems. Inquisitive, using critical thinking to ask lots of questions, overcome biases, break assumptions and consider different perspectives. Strong analytical and problem-solving skills. Excellent communication and interpersonal skills. Detail-oriented with a focus on accuracy. Able to plan and organise your own work, effectively negotiating priorities crossing multiple teams across the business. Able to collaborate with other areas of the business to solve problems. Able to quickly learn and adapt to new technologies. Benefits Our benefits package compliments our highly competitive salaries and our great working environment. We believe that our people should be properly rewarded for their commitment to the continued success of our business through a comprehensive and flexible range of benefits. These can include: InformedACADEMY - We offer excellent career development opportunities through our award winning personal and professional development programmes, including support with professional certifications. Industry leading health and wellbeing plan - We partner with several wellbeing support functions to cater to each individual's need, including 24/7 GP services, mental health support and physical health support. Hybrid working Private Health Care Cover Generous life assurance cover Gym Membership Monthly office lunch Onsite massage sessions 25 paid working days holiday per year plus bank holidays Sabbatical Leave Scheme Enhanced Maternity Leave and Pay Enhanced Paternity Leave and Pay Company Pension Contribution Profit Share Scheme Payment of professional subscriptions Generous referral scheme with no limits on the number of referrals Salary Sacrifice scheme Qualifying period applies