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📍 Slough | Hybrid/Remote A leading global biopharma organisation is looking for an Information Scientist specialising in Content Analytics to join their Scientific Information & Intelligence team. This is an exciting opportunity for someone passionate about AI, NLP, and biomedical information to help shape the future of data‑driven R&D. You’ll work at the intersection of science and technology—using advanced AI tools, LLMs, and text analytics to extract insights from biomedical literature, build smarter workflows, and support teams across the business. If you enjoy exploring emerging technologies, enabling others through training, and driving responsible AI practices, this role offers a fantastic platform. • Designing AI/NLP workflows for literature mining, summarisation, and trend analysis, • Applying LLMs and machine learning to improve information retrieval and content classification, • Supporting R&D teams with structured scientific information, metadata, ontologies, and FAIR data principles, • Acting as a subject matter expert for AI‑driven content analytics, • Ensuring compliance with copyright, licensing, and data governance, • Delivering training and developing best‑practice guidelines for AI/NLP tools, • Experience or strong interest in NLP, LLMs, transformers, RAG, or prompt engineering, • Python skills and familiarity with AI/text analytics frameworks, • Knowledge of ontologies, knowledge graphs, metadata, or semantic technologies, • Strong communication, collaboration, and adaptability #J-18808-Ljbffr

prompts, agents, and workflow designs to understand system behaviour and unlock real value - not just theoretical improvements.Synthesise findings for our Product Engineering and Platform teams, turning real usage patterns into clear, reproducible evaluations, benchmarks, and technical artefacts that improve product and platform quality.Build repeatable tools, patterns, and evaluation approaches that raise the quality bar across multiple use cases - not just one-off fixes.Operate with strong judgment in ambiguous environments, balancing immediate technical problem-solving with longer-term systemic improvement.Build relationships across our engineering and product communities, serving as a trusted technical partner to individuals and teams alike.These are some of the key components to the position:You'll thrive here if you have strong software engineering and AI fundamentals - whether that's from experience in a startup, or a product focused role in a larger org. Software engineer, ML engineer, data scientist, or equivalent. Product Managers, BAs or Technical Programme Managers keen to return to a builder role. A track record of shipping production systems end-to-end is a strong plus.What will you bring to the team?Experience building AI applications, agents, or evaluation systems, with the ability to reason clearly about model behaviour in complex workflows.Comfort working directly with highly experienced functional SMEs and translating their challenges into concrete technical signals.Fluency moving between prototyping, debugging, evaluation design, and cross-functional collaboration - sometimes all in the same day.Working across every layer of the stack - Able to switch between configuring a connector in an admin panel to prompting an agent to contribute code back to our underlying platform.Clear communication across technical and non-technical audiences - you can explain what you found and why it matters.High agency and a strong product sense, with a bias toward building things that last rather than one-off fixes.AI First problem solving, deeply experienced with AI tools to drive fast solution creation, able to balance model usage to maximise ROI, everything from coding to design and more. Bonus: Familiarity with complex market place businesses. Experience as an early-stage startup engineer or in a previous FDE style role. None of these is a dealbreaker - we're more interested in how you think than what you've already shipped.At JET, this is how we play Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. Every time a customer decides where to order, they're picking a side. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enable us to stay one step ahead of the competition.Inclusion, Diversity & BelongingNo matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day.What else is cooking?Want to know more about our JETers, culture or company? Have a look at our career site #J-18808-Ljbffr

Senior Data Scientist who combines deep machine learning expertise with strong software engineering to design, build, and deploy production-grade ML systems.

Haleon in Weybridge is offering a 12-month Product Development Scientist Industrial Placement starting June 2027. You will work with an experienced team within the oral health category to reach your full potential. Responsibilities include collaborating across formulation, analytical chemistry, and microbiology; designing experiments; analyzing data; and contributing to future brand innovations within a Stage-Gate framework. #J-18808-Ljbffr

Eurofins Scientific is an international life sciences company, providing a unique range of analytical testing services to clients across multiple industries, to make life and our environment safer, healthier and more sustainable. From the food you eat, to the water you drink, to the medicines you rely on, Eurofins laboratories work with the biggest companies in the world to ensure the products they supply are safe, their ingredients are authentic, and labelling is accurate. Eurofins is dedicated to delivering testing services that contribute to the health and safety of society and the planet, and to its corporate responsibility to protect the environment and ensure diversity, equity, and inclusion across the entire network of Eurofins companies. Eurofins PSS Insourcing Solutions® is a global, award-winning insourcing solution. We place our skilled team directly at the client site, managing operations seamlessly and eliminating complexities. We ensure a strategic, long-term service commitment that delivers value directly at the client’ site, utilising their facilities, equipment, and methodologies, while maintaining the same service, expertise, and cGMP compliance available at the Eurofins facility. If you're an employee seeking an exceptional career journey, Eurofins PSS Insourcing Solutions® is your gateway to a future where innovation, collaboration, and success converge. Join us in a world where excellence knows no boundaries! Unfortunately, we are unable to offer visa sponsorship for this role. This is a full time, permanent position, working a flexible 37 hour week, Monday – Friday. As a BioAssay Senior Scientist you will performroutine, non-routine and stability testing activities of drug substances (Biologics) within the client’s Analytical Service Department. • The purpose of this post is associated with the performance of routine, non-routine and stability testing activities of drug substances (Biologics) within the client’s Analytical Service Department., • You will perform routine, non-routine and stability testing of biologic drug substances using ELISA, cell-based potency assays and Biacore (SPR) methodologies, whilst coordinating assay activities, managing project priorities and timelines, and ensuring the generation of high-quality, accurate and GMP-compliant data delivered to client expectations., • You will utilise electronic laboratory systems and software, including electronic notebooks, to accurately document, analyse and report results, while tracking project progress, coordinating deliverables and ensuring all records, reports and regulatory documentation are completed in accordance with client, Eurofins and regulatory requirements., • You will support method development, validation, troubleshooting, trend analysis and OOS investigations, applying strong scientific expertise and project management skills to deliver study objectives, mitigate risks, resolve technical issues and contribute to the successful execution of client programmes., • You will act as a subject matter expert for bioanalytical techniques, providing technical guidance, mentoring and training to colleagues, supporting recruitment activities, leading assigned project workstreams and ensuring training compliance across the laboratory., • You will maintain laboratory operations through instrument maintenance, reagent and consumable management, housekeeping activities and the preparation, review and update of SOPs, protocols, reports and other controlled documentation, ensuring resources are effectively planned to support project and operational demands., • You will build strong relationships with internal and external clients by managing project communications, providing scientific updates, delivering exceptional customer service, driving continuous improvement initiatives, promoting a strong safety and quality culture, and supporting Eurofins' commitment to operational excellence and customer satisfaction, • You will hold a degree or higher qualification in a relevant scientific discipline and possess experience within a bioanalytical, biopharmaceutical or GMP-regulated laboratory environment., • You will have extensive hands-on experience with biologics testing techniques, including ELISA, cell-based potency assays, Biacore (SPR), aseptic techniques and 96-well plate formats, ideally supporting pharmaceutical drug substance development and testing., • You will have expert knowledge of cell-based assays, including Vi-CELL and manual cell counting, luminescence-based assays and flow cytometry, with the ability to interpret complex datasets and provide scientifically sound conclusions., • You will have demonstrated experience operating within GMP and regulatory frameworks, with strong documentation skills, proficiency in electronic laboratory systems and MS Office, and a commitment to delivering accurate, high-quality results right first time., • You will have the ability to troubleshoot analytical methods and instrumentation, apply statistical analysis to support investigations and continuous improvement activities, and proactively identify opportunities to enhance efficiency, quality and customer outcomes., • You will have excellent communication and interpersonal skills, with experience mentoring colleagues, acting as a technical subject matter expert, building strong client relationships and working collaboratively within a flexible, customer-focused Eurofins laboratory environment. At Eurofins we are growing, innovating and always learning. We celebrate the achievements of our employees through annual long service awards, recognise our colleagues special life events. • We offer exceptional opportunities for career growth, within a friendly and supportive team. As well as a competitive salary, pension and associated benefits you will enjoy an unrivalled working environment, including an active social calendar and subsidised canteen, all while working in a start of the art client facility- a leading biotechnology company, • Fantastic developmental opportunities and career progression pathways such as leadership, training, compliance and Subject Media Expert., • Full Benefits Package including:-, • Pension, • Private Medical Insurance, • Income protection and life assurance, • Annual discretionary bonus, • Birthday Holiday entitlement, • Exciting Eurofins Incentives: Employee Activity Committee (EAC), Equality Driving Excellence (EDE), significant Reward and Recognition programme Opportunity to benefit from Eurofins Operational Development training platform, plus potential support for part-time training (relevant to the position), • Full use of the canteen facilities and barista on the client site, • Free parking onsite and onsite electric charging, • Additional annual leave days with continued service, • The opportunity to work on life saving products #J-18808-Ljbffr

Lonza Group in Slough is seeking a Scientist for the Analytical Development team. The role focuses on delivering bioanalytical development stages, performing analytical techniques and interpreting data to optimise methods.

Eurofins Scientific is seeking a BioAssay Senior Scientist to join the Analytical Service Department on a full-time basis. You will perform routine, non-routine and stability testing of biologic drug substances using ELISA, cell-based potency assays and Biacore (SPR). You will document results electronically, manage project priorities and ensure GMP-compliant data delivery to clients, while mentoring colleagues and supporting method development and troubleshooting. #J-18808-Ljbffr

Data Scientist - AI & Machine Learning Location: UK Contract: 12 months Working Pattern: Hybrid - minimum 2 days per week in the office I'm recruiting for a Data Scientist to join an exciting AI and machine learning programme, where you'll help transform complex business challenges into practical, data-driven solutions. You'll work alongside multidisciplinary teams to frame problems, explore different approaches and develop advanced machine learning models and AI applications. This is an opportunity to contribute to the development of data science products, combining classical ML techniques with emerging LLM-based solutions. Key Responsibilities • Analyse and process large datasets from multiple sources., • Develop and evaluate machine learning models and AI applications using Python., • Apply statistical analysis to interpret results and support informed decisions., • Define problem statements, evaluation metrics and experiment designs., • Contribute to LLM evaluation, prompt engineering and RAG-based approaches., • Work with business stakeholders to communicate findings and model outcomes., • Support the development of data science products and provide technical guidance to junior team members. Key Skills & Experience • Strong Python skills for machine learning and data science., • Experience with classical machine learning and LLM development and evaluation., • Understanding of problem framing and AI/ML evaluation metrics., • Knowledge of prompt engineering and Retrieval-Augmented Generation (RAG)., • Experience designing experiments and working with model cards., • Ability to interpret complex statistical results and communicate findings. For more information or to apply directly, please email. I review applications daily and will contact shortlisted candidates as quickly as possible. JBRP1_UKTJ

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The Travel Corporation is seeking a Data Scientist in London for an applied data science role that emphasizes turning analytics into business impact.You will work across segmentation, propensity, personalisation, retention, forecasting and customer lifetime value with strong collaboration across tea

Strong knowledge of data modelling, machine learning, and/or advanced data analytics. Develop and implement descriptive, predictive, and prescriptive analytics, integrating data from multiple sources. Demonstrable track record of delivering data analytics projects as part of a team.

A leading global biopharma organization is seeking an Information Scientist specializing in Content Analytics. This hybrid role involves designing AI/NLP workflows, applying LLMs for enhanced information retrieval, and supporting research teams with structured data. The candidate should have a background in NLP and Python, along with strong communication skills to thrive in a collaborative environment. This is a unique opportunity to work at the intersection of science and technology, with a focus on driving innovation through data-driven R&D. #J-18808-Ljbffr

We are looking for a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems. Experience working with Databricks or similar distributed data/ML platforms. Experience working with large‑scale datasets (scientific, biomedical, or enterprise data).

Elsevier is seeking a Senior Data Scientist I to lead the development and evaluation of advanced search and generative AI systems.You will own complex problem areas end-to-end, drive methodological rigor in evaluation, and contribute to the technical direction of retrieval and RAG systems.This role

Agility core practices, Agility core practices, API and platform design, Cloud Platforms, Collaboration, Communication, Configuration management and release, Continuous deployment and release, Creating a high performing team, Database Design, Digital Project Management, Documentation and knowledge s

Experience providing technical leadership, peer review or coaching to other data scientists. Mentor data scientists and provide technical leadership across the team. Significant experience in data science, applied data science or machine learning in a sophisticated commercial environment.

Elsevier is hiring a Senior Data Scientist to design and deliver advanced AI, NLP, and generative AI solutions that power knowledge discovery and decision support.You will work with large scientific datasets, apply LLM-based approaches, and collaborate across teams to produce production-ready system

• Location: London, UK, • Salary: Competitive, • Working Pattern: Hybrid, 3 days per week in the office, • Contract Type: Permanent, • Working Hours: Monday to Friday At TTC, we are Enriching lives by connecting people and places. For over 100 years, we’ve been bringing the world closer together by crafting journeys that create lasting memories, lifelong friendships and meaningful cultural connections. Across more than 70 countries and our award-winning brands, we design and deliver travel experiences that go beyond sightseeing - they change perspectives. Behind every unforgettable journey is a passionate team making it happen. That’s where you come in. Five shared commitments shape how we work, and how we will work with you: • Value Every Voice. We put people first., • Act with Integrity. We do what is right., • Explore Beyond Boundaries. We are driven by curiosity., • Own the Outcome. We take responsibility for our decisions., • Succeed Together. We have each other's backs. This is applied data science. You will use advanced analytics and machine learning to understand our customers better and solve problems that genuinely matter to the business, working with customer, booking, digital, marketing and behavioural data. You will work across segmentation, propensity, personalisation, retention, forecasting and customer lifetime value, with the space to explore and the support to grow. What matters here is not building technically interesting models, but connecting rigorous analytical work to decisions, actions and outcomes you can point to. You will sit alongside experienced data scientists, engineers and analysts in a capability that is being built and scaled right now. • Turn customer and commercial challenges into structured analytical problems and testable hypotheses., • Explore complex behavioural and transactional data to find what others have missed., • Develop and evaluate statistical and machine learning models., • Build segmentation, propensity, forecasting and personalisation solutions that reach real customers., • Apply rigour to feature engineering, validation and model performance., • Design and evaluate experiments to understand genuine impact., • Work with Data Engineering to create reliable model inputs and productionise valuable solutions., • Monitor solutions in the wild and keep improving them., • Communicate findings clearly to both technical and business audiences., • Contribute to data science standards, reproducibility and responsible AI practice., • Strong professional experience in data science or advanced analytics., • Advanced practical capability in Python and SQL., • A strong grounding in statistics and machine learning., • Experience developing and validating predictive models., • Experience with customer, transactional, behavioural or digital data., • Understanding of experimentation and statistical measurement., • Analytical curiosity paired with pragmatic commercial judgement., • The ability to explain complex analysis clearly and connect it to business action., • Exposure to segmentation, propensity, churn, forecasting, lifetime value or personalisation., • Experience with Snowflake, cloud data science environments or production machine learning., • Familiarity with responsible AI principles and reproducible practice., • Experience in a global, multi-brand or multi-market business., • Curiosity about travel, hospitality or global consumer businesses. #J-18808-Ljbffr

Senior Data Scientist, London/Oxford hybrid working. You will work with complex scientific data and apply modern machine learning and LLM-based approaches to build scalable, reliable systems with real user impact. Integrate scientific metadata, ontologies, taxonomies, and knowledge assets into scala

Location: UK (Remote) Compensation: £85,000 – £90,000 + up to 11% bonus Contract: Permanent, Full-Time Visa Sponsorship: Not available. Must have right to work in the UK without sponsorship. Reports to: Head of AI Split: Today, approximately 20% hands-on / 80% partner-led delivery accountability. Expected to shift toward 50/50 as the AI journey matures. Who They Are A major UK bank with board-level backing for AI. This isn't a side project. They're building a small, high-impact AI Centre of Excellence from the ground up - and they need a technical leader who can shape it. Why This Role Is Special Greenfield opportunity: Early in the AI journey, with governance frameworks, lifecycles and controls still being built. You'll put your stamp on how this is set up. Board-level backing: AI has strong top-down support. You'll help explain solutions and tooling to senior leaders. Truly hybrid role: Not pure engineering, not pure strategy. A genuine player-coach blend of technical leadership and hands-on delivery. Incredible benefits: 10% matched pension, up to 11% bonus, private medical (family cover), 30 days holiday plus bank holidays, and life assurance. Grown-up working culture: Outcomes matter more than presenteeism. This role is fully remote. What You'll Own Technical Leadership & Delivery Lead design and delivery of AI solutions from concept through to production, working with a primary delivery partner and other partners, contractors and academic institutions. Be accountable for delivery outcomes, ensuring solutions are secure, scalable, compliant and aligned to Responsible AI principles. Shape technical direction, standards and best practice for AI engineering across the Group. Work with architecture, data, technology and business teams to identify and prioritise AI opportunities. Define the right build, buy and partner approach for AI solutions and services. Provide technical leadership across cloud-based AI platforms (Azure strategic, migrating from AWS), services and integrations. Support the growth of AI capability and adoption across the organisation. Hands-On Engineering Get hands-on with code when needed, helping to build and deploy AI, Machine Learning and Generative AI solutions in production environments. Work with modern AI frameworks, LLMs, RAG, prompt engineering and vector databases. Ensure robust MLOps practices, APIs, data pipelines and modern software engineering disciplines are in place. Strategic & Stakeholder Engagement Act as a thought leader, willing to challenge the business and drive new ways of working. Communicate clearly and confidently to senior leaders and board level, translating complex technical concepts into business language. Be a resilient change agent, pushing against colleagues who have done things the same way for years. Help establish engineering standards, frameworks and practices that enable AI solutions to be deployed securely, responsibly and at scale. Must-Have Proven Production Experience: You have “lived it, breathed it.” Real commercial, production experience building and deploying AI/ML/GenAI solutions. Not just POC work or an academic pathway. Hybrid Technical & Strategic Skills: Deeply technical but able to present confidently to a board. Strong Engineering Foundation: Excellent Python and SQL skills. Terraform and CI/CD are must-haves. Regulated Environment Experience: You've worked in a corporate or regulated environment (financial services, public sector, insurance, etc.) and understand corporate governance. Consultancy Background (Preferred): Experience in consultancy is a strong fit - client engagement, stakeholder presentation, and balancing technical work with strategic advice. Thought Leadership & Resilience: Willing to challenge the status quo and drive new ways of working, even when faced with resistance. UK Right to Work: No sponsorship available. Nice-to-Have Experience with Microsoft Azure, including Azure OpenAI, Azure AI Services, Azure Machine Learning and Azure Data Platform technologies. Knowledge of LLMs, RAG, prompt engineering, vector databases and modern AI frameworks. Experience with APIs, data pipelines, MLOps practices and modern software engineering disciplines. Experience managing partner-led delivery and a mix of onshore/offshore teams. Microsoft certifications (e.g., Azure AI Engineer, Azure Data Scientist). The Process 30-min Initial Screen: A light chat. A chance for you to ask questions and for us to get a feel for your background and communication style. 1-hour Technical Interview: General technical questioning. No live coding or hackathon-style tasks. We'll explore your experience with AI/ML/GenAI, cloud platforms and modern engineering practices. 1-hour Functional/Competency/Values Interview: Focused on values, your ability to lead and influence, and your experience in regulated environments. Final Screen: A final conversation with a senior people leader for shortlisted candidates. If you're a technically credible AI leader excited by the chance to build something from the ground up in a supportive, well-backed and genuinely flexible environment – apply now. JBRP1_UKTJ