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The Wessex Inspiration Network (WIN) is seeking an exceptional Data and Evaluation Officer to join our team and play a key role in demonstrating the impact of outreach activity across the South West.This is an opportunity to work at the heart of a regional partnership that is making a tangible difference to the lives of young people. Your work will directly influence strategic decision-making, strengthen the evidence base for widening participation, and help ensure that outreach activity is targeted, effective and impactful.You will join a collaborative, diverse and supportive team committed to improving educational opportunities and driving social mobility across the region.About the roleWIN is the regional Uni Connect partnership funded by the Office for Students. We bring together universities, colleges, schools and community partners to support young people from underrepresented groups to make informed decisions about their future education and career pathways.As our Data and Evaluation Officer, you will lead the development and implementation of WIN's evaluation plan, ensuring our work is guided by robust evidence and aligned with Uni Connect requirements, TASO guidance and recognised higher education evaluation frameworks.This is a unique opportunity to combine data analysis, evaluation and stakeholder engagement in a role that directly contributes to reducing educational inequalities and improving opportunities for young people.You will be responsible for evaluating the reach, effectiveness and impact of WIN's programmes and interventions. Using a range of quantitative and qualitative methods, you will generate evidence that helps us understand what works, for whom, and why.Working closely with the Head of WIN, consortium partners and external stakeholders, you will embed evaluation across the project lifecycle and ensure findings are translated into practical recommendations that improve future programme design and delivery.You will take the lead on the collection, management, quality assurance, analysis and reporting of project data, including responsibility for the accurate recording and submission of participant information to the Higher Education Access Tracker (HEAT) database.The role will also play an important part in helping partners develop a shared regional Theory of Change and contribute to the development and ongoing review of the Equality of Opportunity Risk Register (EORR). This work will strengthen the regional evidence base and support a collective understanding of the barriers affecting underrepresented learners.About youWe are looking for someone who is highly analytical, evidence-focused and passionate about using data to drive positive change.You will be able to work confidently with large datasets, communicate complex information clearly, and build effective relationships with a wide range of stakeholders.You should have:Degree-level qualification or equivalent experience.Experience of quantitative research and advanced data analysis.Experience of developing or using Theory of Change approaches and Equality of Opportunity Risk Registers.Experience of interrogating datasets to support planning, monitoring and decision-making.Experience of writing reports and presenting findings to both technical and non-technical audiences.Excellent analytical and problem-solving skills.Strong written and verbal communication skills.Advanced Excel and data management skills.Ability to collect, clean and analyse both quantitative and qualitative data.Excellent organisational skills and the ability to prioritise competing demands.Knowledge of widening participation and current issues within higher education.Further informationThis is a full-time role, working 36.5 hours per week, for a fixed-term period until October 2027. This role offers hybrid working, with a base at the University of Bath's Claverton Down campus. You will normally be expected to work on campus at least one day per week, with additional attendance required throughout the year to support WIN events, partnership meetings and other key activities across the region. The role will involve occasional travel to partner organisations across the South West and therefore a UK driving licence is required.An enhanced Disclosure and Barring Service (DBS) check is required for this role.For an informal discussion about the role please contact Jo Bonnet, Head of the Wessex Inspiration Network (jtb65@bath.ac.uk) or Andrew Ross, Deputy Director of SRA and Head of Access, Recruitment and Outreach (ajr55@bath.ac.uk). Please note that all applications must be submitted via the University of Bath's online recruitment system.We consider ourselves to be a university where difference is celebrated, respected and encouraged. We have an excellent international reputation with staff from over 60 different nations and have made a positive commitment towards gender equity and intersectionality receiving a Silver Athena SWAN award. We truly believe that diversity of experience, perspectives, and backgrounds will lead to a better environment for our employees and students and encourage applications from all genders, backgrounds, and communities, particularly from under-represented groups, and value the positive impact that will have on the university. We are committed to maintaining a safe and secure environment for our students, staff, and community by reinforcing our Safer Recruitment commitment.We're very proud to be a signatory of the Armed Forces Covenant. an accredited Disability Confident Leader; autism friendly university, committed to building disability confidence and supporting disabled staff.What we can offer you We're continually expanding our benefits package to better support you and enhance your experience with us and the below is just an example of some of the many great benefits we offer:Generous annual leave allowance with an additional 5 discretionary days so that you can enjoy a positive work life balanceGenerous employer contributory pension schemesCycle to work schemeElectric vehicle salary sacrifice schemeStaff discount at Team Bath gymStaff benefits include discounted postgraduate tuition and language courses, alongside a wide range of personal and professional development opportunities such as apprenticeships, LinkedIn Learning, and moreLocal discounts, including free entry to the Holburne Museum in BathA family-friendly workplaceAn excellent reward package that recognises the talents of our diverse workforceRelocation allowanceVisa reimbursement and Interest-Free Loan to help with the cost of some immigration expensesEmployee assistance services through Health Assured, including access to the Wisdom appFind out more about our benefits and watch the video to hear from our staff about what makes the University of Bath a great place to work as well as following us X and LinkedIn.Be Well at BathWe’re committed to creating a health-supporting working environment where everyone can thrive and be at their best. We offer a range of resources to enable you to do that from your first day here, including:Staff support groups and networksA network of Staff Wellbeing ChampionsA suite of tools, resources and frameworks that enable you to be at your best and thriveFind out more about being at your best at Bath.Email details to a friendFurther details:Job Description & Person SpecificationTerms and Conditions of EmploymentRight to Work in the UK: We do not assess immigration or right to work status until offer stage. Being invited to interview does not guarantee you are eligible for visa sponsorship and all offers are conditional on meeting right to work requirements. Further information is available on our application support webpage.Anonymous shortlisting: We are constantly seeking to reduce the unconscious bias that enters any assessment process, with the goal of creating an inclusive and equal assessment process. To support this, personal details such as your name, may be removed from application forms at the initial shortlisting stage.

Lead Forward Deployed Engineer AI / Product / Consulting Location: Hybrid Job Type: Full-time Level: Lead / Principal Individual Contributor The Opportunity We're working with an innovative, global digital health technology business that partners with major organisations across the pharmaceutical, biotech and healthcare sectors. They are looking for a Lead Forward Deployed Engineer who can operate across three disciplines that are often split between different roles: consulting, product leadership and hands-on engineering. You'll work directly with clients to understand complex business and technical challenges, determine what is worth building, and then personally take solutions from idea through to production. This is not a traditional engineering role where you'll receive a fully defined backlog and focus solely on implementation. You'll be expected to shape the problem, make product decisions, build the solution and own the outcome. The role would suit an experienced engineer who is operating at the forefront of AI development and is equally comfortable writing production code, challenging a product strategy, presenting to senior stakeholders and working directly with clients. How You'll Work The role is built around three core areas: Shape Work with business and technical leaders to turn ambiguous problems into clear, valuable and buildable opportunities. You'll: Lead discovery with business and technical stakeholders. Separate the problem a client describes from the underlying problem they actually need to solve. Structure ambiguity into clear hypotheses, options, trade-offs and recommendations. Develop business cases around value, cost, adoption risk and expected outcomes. Communicate effectively with both technical and executive audiences. Decide Take ownership of what should be built and what shouldn't. You'll: Translate product discovery into a focused, outcome-driven roadmap. Own scope, priorities, sequencing and trade-offs. Create clear product documentation including problem briefs, PRDs, user stories and acceptance criteria. Define and track meaningful success metrics. Work closely with UX and design teams to ensure solutions are built around genuine user needs. Run agile delivery processes, including backlogs, sprints, demos and releases. Continue to own and iterate on products after launch based on user feedback and performance data. Build & Deploy When the problem is defined, you'll get hands-on and build. You'll: Build production-quality software using Python and/or TypeScript. Develop full-stack applications, APIs, AI agents and workflows. Work with technologies including Next.js, React, FastAPI, Fastify, FastMCP and Hono. Design and implement agentic applications using technologies such as LangGraph, AutoGen, Claude Agent SDK, OpenAI tooling or custom orchestration frameworks. Integrate leading and self-hosted LLMs with tools, data and external systems using MCP and custom connectors. Implement RAG solutions using vector databases and hybrid retrieval where appropriate. Work across relational, document, key-value and graph databases depending on the problem. Develop prompt and context engineering approaches focused on accuracy, reliability, cost and latency. Make structured use of AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot and Codex. Fine-tune or adapt models where there is a genuine use case. Production & Engineering You'll own solutions all the way into production, including: Infrastructure and deployment. AI evaluation and testing frameworks. MCP server implementation. Cloud deployment across AWS, Azure, Cloudflare or Vercel. Docker, Kubernetes and/or serverless architectures. TDD and robust software engineering practices. Security, secrets management and SAST/DAST. Structured logging, monitoring, metrics and tracing. Automated CI/CD using tools such as GitHub Actions or Jenkins. Performance, scalability and cost optimisation. Operational ownership of the systems you build. Leadership & Mentoring Although this is an individual contributor role, you'll have significant influence across projects and teams. You'll: Mentor engineers in AI engineering, system design, product thinking and agentic architectures. Set the technical and product standard on client engagements. Review work, raise engineering standards and unblock teams. Contribute to reusable accelerators, playbooks and technical assets. Help interview, onboard and develop future team members. What We're Looking ForEngineering 6+ years' experience building production software. At least 3 years' experience building production applications using AI and/or agentic development approaches. Strong hands-on experience building agents and multi-step AI workflows not simply integrating chat or prompted models. Experience with agent frameworks such as LangGraph, AutoGen, Claude Agent SDK, OpenAI tooling or equivalent. Strong Python and/or TypeScript experience. Strong understanding of OOP, SOLID, 12-factor application development and microservice architecture. Experience building applications with frameworks such as Next.js and FastAPI or equivalent. Experience with vector databases, retrieval pipelines and AI evaluation frameworks. Cloud-native deployment experience with at least one of AWS, Azure, Cloudflare or Vercel. Experience with Docker, Kubernetes and CI/CD tooling. A deep understanding of how LLMs behave, where they fail and how to optimise accuracy, latency and cost. A demonstrable track record of actually building and shipping technology GitHub projects, portfolios, side projects, open-source contributions or similar. Product You should also be comfortable taking ownership beyond the engineering implementation. We're looking for experience with: Owning a product or significant product area from discovery through delivery. Product discovery and problem framing. Roadmapping, prioritisation and opportunity assessment. Writing PRDs, user stories and acceptance criteria. Defining and measuring product success metrics. Using data and evidence to change product direction. Working closely with UX and design teams. Running agile delivery processes with accountability for outcomes rather than simply participating in ceremonies. Consulting & Client Leadership This is a highly client-facing position, so you'll need: Previous experience in consulting, professional services, forward deployment or another client-facing environment. Experience owning client relationships rather than simply attending client meetings. The ability to structure ambiguous problems and make clear recommendations to senior, non-technical stakeholders. Excellent written communication, including decision papers, proposals and executive readouts. Experience with scoping, estimation, change control and stakeholder management. The confidence to challenge a client or senior stakeholder constructively when the evidence supports a different approach. Other Requirements A strong commitment to clean code, testing, security, observability, scalability, performance and cost efficiency. Excellent communication and written skills. A founder-style mindset and enthusiasm for solving ambiguous, high-impact technical and commercial problems. Willingness to travel to client sites when required. Bachelor's or Master's degree in Computer Science, Machine Learning or a related technical discipline. Desirable Experience The following would be advantageous: Experience within healthcare, life sciences, pharmaceuticals or biotech, including clinical, commercial, regulatory or R&D environments. Background within a leading consultancy, product-led technology company or high-growth startup. Public technical writing, conference talks or other thought leadership around AI. AWS Professional certification or another relevant industry certification. What Success Looks Like First 90 days: You'll be expected to take ownership of a client relationship, lead a discovery process and have working software in front of real users. First 6 months: You'll have defined and delivered a meaningful product increment that has improved a client-relevant metric and demonstrated enough value to support further investment. First year: You'll be helping set the standard for how AI products are delivered, mentoring others and contributing to reusable technology, processes and accelerators. What You'll Get Hybrid working with exposure to high-profile clients and complex technology challenges. A collaborative, people-focused culture. The opportunity to work at the forefront of AI, agentic development and digital health. Significant autonomy and ownership over the solutions you build. Opportunities for technical leadership, mentoring and career development. A supportive environment focused on continuous learning. Competitive salary and benefits. The opportunity to work on technology with meaningful real-world impact. Interested? If you're an experienced engineer who wants to combine hands-on AI engineering, product ownership and client leadership, this is an opportunity to have genuine ownership from problem definition through to production. Apply now with your CV to be considered. JBRP1_UKTJ