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Senior Data Science Consultant 60k - 70k + bonus and benefits (multiple positions available at different levels) London, Manchester or Glasgow / Hybrid Are you ready to work at the forefront of Agentic AI, GenAI and Data Science transformation? This is your opportunity to join a high-growth consulting environment where innovation, creativity and cutting-edge technology come together to solve complex business challenges for major clients. You'll play a key role in delivering impactful AI and analytics solutions, helping organisations unlock the value of their data and transform the way they operate. If you thrive in a client-facing consulting environment and want to work on pioneering AI initiatives with real-world impact, this could be the perfect next step in your career. What You'll Be Doing Leading and supporting the delivery of Agentic AI, GenAI, Data Science and Analytics projects across the full machine learning lifecycle Working closely with clients to understand business challenges and deliver innovative, data-driven solutions Demonstrating the value and potential of AI and advanced analytics through workshops, presentations and client engagements Applying modern data science techniques including statistical modelling, NLP, time-series analysis, spatial analysis and mathematical modelling Collaborating with multidisciplinary teams to deliver high-quality solutions in a fast-paced consulting environment Contributing to business growth through bids, proposals, RFPs, thought leadership and proposition development Supporting internal innovation initiatives, whitepapers, practice development and mentoring activities Continuously developing your skills across emerging AI, analytics and cloud technologies What You'll Bring Experience delivering Data Science, Analytics or Agentic/GenAI solutions within a client-facing or consulting environment Strong knowledge across the ML lifecycle and advanced analytical methodologies Passion for demonstrating how Agentic AI and GenAI can unlock business value Excellent stakeholder management, communication and presentation skills Experience helping clients derive actionable insights from complex data Background working within a consultancy and/or industry environment Technical Skills You'll have experience with some of the following: Cloud & Data Platforms: AWS, Azure, Google Cloud Platform, Databricks Programming Languages: Python, R, PySpark Agentic & GenAI Platforms: Microsoft Copilot Studio, OpenAI GPT-5 Agents, UiPath, Adept AI, Orby AI, Beam AI If you've held any of these roles or used these technologies/skills, this role could be a great fit: Data Scientist, Senior Data Scientist, AI Consultant, Machine Learning Consultant, GenAI Consultant, AI Engineer, Applied Data Scientist, Analytics Consultant, ML Engineer, Data & AI Consultant, Advanced Analytics Consultant, NLP Specialist, Python Developer, AI Transformation Consultant, Databricks Consultant, Azure AI Consultant, AWS Data Scientist, GCP Data Consultant, Agentic AI Consultant, OpenAI GPT Specialist, PySpark Developer. Deerfoot Recruitment Solutions Ltd is a leading independent tech recruitment consultancy in the UK. For every CV sent to clients, we donate 1 to The Born Free Foundation. We are a Climate Action Workforce in partnership with Ecologi. If this role isn't right for you, explore our referral reward program with payouts at interview and placement milestones. Visit our website for details. Deerfoot Recruitment Solutions Ltd is acting as an Employment Agency in relation to this vacancy.

Role Overview We are seeking an Applied AI Lead to act as a hands-on, startup-style CTO for our AI initiatives. This is a high-impact, hybrid role designed for a technical visionary who can bridge the gap between cutting-edge machine learning and commercial product delivery. You will be responsible for leading the technical direction, building end-to-end AI products, and managing a team of data scientists while remaining deeply hands-on with code and architecture. Key Responsibilities Technical Leadership: Architect and deploy LLM-driven workflows and NLP solutions, ensuring they are scalable, robust, and production-ready. Product Ownership: Own the full product lifecycle from vision and roadmap strategy to implementation, iteration, and success metrics. Hands-on Development: Write production-quality Python code, develop complex models using PyTorch or TensorFlow, and manage high-performance SQL databases. Team Management: Lead and mentor a team of Data Scientists, fostering a culture of rapid experimentation and engineering excellence. Executive Stakeholder Management: Translate complex technical concepts for senior management and the C-suite, acting as a strategic partner to the business. Required Qualifications ML Mastery: Proven track record in Data Science/ML with expertise in Python, SQL, and deep learning libraries (TensorFlow, Keras, or PyTorch). Production Experience: Demonstrated experience deploying real-world AI solutions at scale; purely academic or research backgrounds will not be considered. Product Vision: Experience launching AI products from scratch with a focus on business delivery and user impact. Education: Degree from a top-tier educational institution with a strong foundation in mathematics and statistics. Communication: Exceptional public speaking skills and the ability to influence executive-level stakeholders. Preferred Skills Entrepreneurial background or experience in early-stage startups. High analytical and technical acumen with an obsession for speed-to-market.

Talentmark are recruiting for a Senior Scientist, Compound Screening to join a clinical stage oncology biotechnology company at their site based in West London on a permanent basis. The Company: Our client is developing novel tumour microenvironment targeted therapeutics. This is an exciting opportunity to contribute to bringing novel cancer treatments to patients. Location: This Senior Scientist, Compound Screening role is located in West London. Senior Scientist, Compound Screening Role: You will help to drive early stage discovery programs and will assume responsibility and be accountable for the efficient and timely delivery of cell-based screening data to support drug discovery programs for oncology therapeutics. This is a lab-based role with management of junior team member(s). Your main duties will be to: Weekly, high throughput plate-based assays to screen compounds in cell-based assays to support candidate selection Data analysis and data quality control: analyse, interpret and save data to databases and electronic lab notebooks; adherence to standard operating procedures Effectively present results and conclusions at project meetings to colleagues and senior management Work in a fast-paced, team environment with tight deadlines Work effectively in a small team with cross-functional team members Ensure compliance with laboratory safety guidelines and quality standards Your Background: Essential: BSc, MSc or PhD in a life sciences subject with additional biotech or pharmaceutical laboratory experience post qualification Industry drug discovery experience Experienced in high throughput plate-based assays to screen compounds in cell-based assays Data analysis and data quality control Protocol optimisation and troubleshooting Strong attention to detail, organisation and ability to work in a fast-paced, team-oriented environment Desirable: Line management experience Experience in cell-based models and co-culture assays Cell biology and other basic molecular techniques eg, western blotting, ELISA, cytometry etc Apply: It is essential that applicants hold entitlement to work in the UK. Please quote job reference (phone number removed) in all correspondence.

Senior Data Scientist AI & Intelligent Products Location: Glasgow Salary : Competitive The Role Data is our superpower not just for insight, but for building intelligent, scalable products. We re looking for a Senior Data Scientist to drive commercial impact today through advanced analytics and experimentation, while leading our evolution into AI-powered products using modern Generative AI and search technologies. This is a hands-on, high-impact role at the intersection of data science, machine learning, and Generative AI engineering . You ll deliver immediate business value while helping us transition from a data-driven company into an AI-native product organisation . You ll work closely with product, commercial, and engineering teams to turn complex, text-heavy data into both actionable insights and production-grade AI solutions . What You ll Be Doing Today: Driving Commercial Impact with Data Lead end-to-end data science projects that deliver measurable business outcomes Work hands-on with data analysis, modelling, and experimentation Translate business challenges into analytical solutions and clear insights Partner with stakeholders across commercial, product, and engineering teams Embed data into decision-making across the organisation Mentor and support a small team of Data Scientists Evolving the Role: Building AI-Powered Capabilities Design and develop AI-powered features such as assistants, copilots, and intelligent workflows Build and deploy Retrieval-Augmented Generation (RAG) pipelines Apply NLP techniques to structure and unlock value from unstructured text Develop semantic and hybrid search solutions (vector + keyword) Work with LLM platforms (e.g. OpenAI, Claude, Bedrock) to create production-ready applications Future State: Shaping Intelligent Products & Strategy Help define how AI becomes embedded in our core product offering Influence product strategy through data and AI capabilities Contribute to scalable architecture for AI systems (search, retrieval, LLM orchestration) Establish best practices for experimentation, evaluation, and model performance Elevate the organisation from analytics-led to decision intelligence and AI-driven automation What We re Looking For Core Data Science Expertise Strong experience as a Data Scientist in a SaaS or data-rich environment Proven track record of delivering commercially impactful solutions Expertise in experimentation, statistical analysis, and modelling Strong SQL and data manipulation skills Experience with Elastic / Elasticsearch and observability tooling Engineering & AI Capability Strong Python skills and experience building data/ML pipelines Experience developing APIs or production-grade systems Hands-on exposure to LLMs and prompt engineering Understanding of RAG architectures and NLP pipelines Familiarity with search technologies (Elasticsearch, vector databases, or similar) Collaboration & Influence Excellent stakeholder management and communication skills Ability to translate complex technical work into business value Comfortable working cross-functionally across product, engineering, and commercial teams Leadership & Growth Experience mentoring or supporting junior team members Interest in shaping standards, tools, and ways of working Motivated by building both immediate impact and long-term capability Docker, Kubernetes, or scalable deployment environments Background in building AI-powered or search-driven products Why Join Us? Immediate impact: Deliver high-value data science work from day one Future-facing: Help build real AI products not just models in notebooks Ownership: Shape both what we build and how we build it Growth: Evolve into a key leader in AI and data strategy Environment: Fast-moving, collaborative SME where data and AI are core to success To Apply If you feel you are a suitable candidate and would like to work for BiP Solutions, please do not hesitate to apply.

Senior Product Analyst - £80,000 (Hybrid - London) Industry: Global Consumer Marketplace / App Department: Product & Insights A leading global marketplace is hiring a Senior Product Analyst to partner with product, engineering, design, and ML teams to shape the future of a mobile-first product used worldwide. What You'll Do Act as the lead data scientist for a core product domain Drive deep product analytics to uncover opportunities for growth and engagement Design, analyse, and interpret experiments across the product ecosystem Influence product strategy by connecting insights to business goals Improve datasets, dashboards, and analytical tooling Work closely with ML teams on discovery, ranking, and personalisation initiatives What We're Looking For Expert-level SQL + solid Python for product analytics Hands-on A/B testing experience (design + interpretation) Strong understanding of ETL/debugging data issues Excellent communication and stakeholder management skills Commercially-minded with experience balancing user and business needs Bonus: marketplace experience or exposure to ML-driven products Why Apply High-impact role shaping core product decisions Great benefits, flexible work, and strong wellbeing support Opportunity to work closely with ML teams and influence a global user experience Find out more and apply via the link below.

Senior Platform Engineer Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and life cycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a Full time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (eg Kubeflow or similar frameworks) Model serving and inference platforms (eg KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible/Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Lead AI-Enabled DevOps Engineer Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is Embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where Legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of Legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (eg protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate Legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (eg Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results Design and run structured experiments to assess model behaviour, performance, and user impact Work with real, imperfect operational data , not just curated or static datasets Collect, assess, and transform data to support model evaluation and continuous improvement Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making Engage confidently in deep technical design and review discussions with peers Operate effectively within a strong technical assurance and review culture Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent Strong grounding in applied mathematics, statistics, and scientific practice Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation Excellent Python skills for building, evaluating, and iterating on ML solutions Experience working with real-world, imperfect data from operational systems Strong software engineering practices, including readable, maintainable, and well-tested code Experience integrating ML components into broader production systems Clear understanding of data ethics, privacy, and responsible use of data Strong communication skills across technical and non-technical audiences Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: Python for experimentation, modelling, and evaluation Weights & Biases (or equivalent) for experiment tracking AWS , including services such as SageMaker and Bedrock Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience Working in secure, safety-critical, or heavily regulated environments Background in sectors such as energy, oil & gas, defence, or public sector Experience within formal technical assurance or governance processes Collaboration with external suppliers, partners, or research organisations Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Lead Platform Engineer Building the platforms that make AI and machine learning work in production We're looking for a Lead Platform Engineer to join a growing engineering organisation and play a pivotal role in designing, building, and operating an MLOps platform that enables AI and data science teams to deliver reliably in production. This is a senior, hands-on technical leadership role , not a people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters - it's on layering real MLOps capability on top of Kubernetes to create a platform that is usable, supportable, and trusted in live environments. What you'll be doing You'll act as a technical leader across platform engineering, DevOps, and MLOps, remaining deeply involved in implementation. You will: Provide technical leadership across platform, DevOps, and MLOps activities Design, build, and operate a Kubernetes-based MLOps platform supporting the full model life cycle ImplementandrunMLOps tooling that enables teams to: Experiment with models and notebooks Package, version, and deploy models Run scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues across Kubernetes, platform services, and MLOps layers Contribute to architectural decisions while staying hands-on with delivery Apply pragmatic engineering judgement in environments where AI workloads place real operational demands on infrastructure What we're looking for This role suits someone who is fundamentally a strong platform engineer , with the depth to apply those skills confidently to MLOps. Essential experience: Strong background as a Senior or Lead Platform Engineer/DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (eg Terraform) Proven experience extending Kubernetes with higher-level platforms and services , not treating it as the finished product Strong understanding of operational fundamentals: monitoring, logging, incident response, reliability, and maintenance Comfortable working directly with engineers and data scientists to support real production workloads MLOps experience (key to the role) You'll work deeply "in the weeds" of MLOps platforms, enabling ML and LLM workloads (not model research). Experience in areas such as: Building or operating MLOps platforms using tools like Kubeflow or similar frameworks Running model serving and inference platforms (eg KServe, vLLM, or equivalent) Supporting LLM-based workloads , including optimisation and serving considerations Providing notebook-based environments such as JupyterHub in secure platforms Exposure to emerging tooling such as InstructLab , Trustworthy/Responsible AI tooling, or comparable solutions Desirable experience Building internal platforms specifically for data science and ML teams Operating AI-enabled or data-driven systems in production Experience in regulated, security-conscious, or high-assurance environments Designing platforms that balance user flexibility with governance and control If you believe Kubernetes is the base, not the product , enjoy operating close to the metal, and like solving hard platform problems that enable others to succeed, this role offers real challenge and impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Applied AI Scientist Location: London Contract type: Contract Rate / Salary: 600- 800 Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for an Applied AI Scientist to join our client's growing Data Science profession. This is a senior, hands-on technical role for someone who enjoys deep technical delivery and influencing through credibility rather than hierarchy. The role focuses on applying modern AI techniques to real-world problems in complex, constrained environments. You will work closely with users, stakeholders and fellow data scientists to translate real operational needs into effective AI solutions that deliver tangible outcomes. You will often be working in settings where model behaviour, system constraints and human use interact in non-obvious ways. This is not AI experimentation for its own sake. It is about building solutions that work in practice. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You will work in a high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. What You'll Be Doing - Design, build and deploy applied AI and data science solutions that deliver measurable impact - Own projects end-to-end, including problem definition, technical delivery and stakeholder engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services - Consider performance, scalability and resilience when deploying AI into operational systems - Influence technical direction through evidence, communication and delivery results - Share knowledge and support learning across the wider data science community Your Experience To be successful in this role, you will bring: - Strong, demonstrable experience as an Applied AI Scientist, Data Scientist or similar hands-on technical role - Excellent Python skills, with the ability to write clean, efficient, production-quality code - Experience developing and deploying AI solutions outside of fully managed cloud services - Solid understanding of modern AI and machine learning techniques - Experience working with imperfect, real-world data and operational constraints - Confidence owning work end-to-end and managing your own delivery - The ability to influence technical decisions without formal authority In Return You'll join an experienced and collaborative team working on meaningful, production-focused AI problems rather than isolated experimentation. This is an opportunity to apply your skills where judgement, pragmatism and technical quality genuinely matter, and to grow your influence through delivery rather than management responsibility. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Data Scientist Location: London Contract type: Contract Rate / Salary: 600- 850 per day PAYE Clearance: Eligible AI: Complex data. Clear thinking. It's knowing what matters. That makes a real difference. The Opportunity We are looking for a Data Scientist to join our client's established and growing data science profession. This is a hands-on role suited to someone with a solid foundation in data science who wants to apply their skills to real problems, learn through delivery, and grow within a supportive professional community. You will work on meaningful, production-focused data science initiatives rather than abstract experimentation. The role offers exposure to multiple projects, access to experienced colleagues, and the opportunity to build depth and confidence by contributing to work that has tangible impact. This environment is far from ordinary - and we're not looking for ordinary. Working Environment You'll typically work across two projects at a time, often with different technical leads, giving you both variety and continuity. The environment values curiosity, evidence-based thinking, and the confidence to question assumptions constructively. Data scientists work within established delivery frameworks and collaborate closely with engineers, analysts and product-focused teams. Learning happens through doing, supported by an experienced and inclusive data science community. What You'll Be Doing - Contribute to the design, analysis and build of data science solutions addressing real business and operational problems - Apply statistical, mathematical and scientific approaches to explore data, test hypotheses and support decision-making - Write and maintain Python code to support data preparation, analysis and modelling - Work with production data pipelines, contributing to the data engineering tasks needed to support analytics and models - Support responsible data use, including privacy, ethical considerations and appropriate handling throughout the lifecycle - Collaborate with more senior data scientists, learning through shared delivery - Communicate findings clearly to both technical and non-technical audiences - Contribute to shared documentation, standards and continuous improvement across the profession Your Experience To be successful in this role, you will bring: - Around 2-3 years' experience working as a Data Scientist or in a closely related analytical role - Strong Python skills, with experience contributing to shared codebases - Experience working with real-world datasets, including cleaning, validation and exploratory analysis - Understanding of how data science moves from experimentation into practical use - Awareness of ethical considerations and responsible data practices - Willingness to learn, accept feedback and engage constructively with challenge In Return You'll join a supportive, high-quality data science profession where learning is embedded in day-to-day delivery. This is an opportunity to build confidence, expand your technical portfolio and contribute to meaningful work, while being supported to grow in capability and responsibility over time. As an organisation and as a team, Guidant Global are committed to fostering an equitable, diverse and inclusive workplace, where every employee and contractor feels valued and empowered throughout their time with us. We actively seek to recruit talent from all backgrounds, and to draw on a rich blend of experiences, perspectives and creativity. We believe that when people are respected and included, they are motivated to bring their best and whole selves to work, leading to innovative solutions and exceptional outcomes for all parties. Guidant Global is acting as an Employment Business in relation to this vacancy.

Job description Site Name: UK London New Oxford Street Posted Date: Apr Position Summary Responsible to lead medical and scientific staff within the SERM (Safety Evaluation & Risk Management) group and defining and driving the strategy and vision of clinical safety and pharmacovigilance activities in alignment with Global Safety business strategies. Responsibilities Lead and line manage the SERM group (10 team members) responsible for marketed HIV assets with ongoing clinical development from first-time-in-human studies through to regulatory submission; include resource and team management, coaching, influencing others, collaborative working, decision making, change management, partnership, and relations management. Implement policy, processes and support the implementation of operational and strategic plans. Ensure scientifically sound review and interpretation of data and management of safety issues and escalates safety issues identified through the safety review process to senior management and safety governance as appropriate; make recommendations for further characterization, management, and communication of safety risks. Focus on efficiency and effectiveness to meet the needs of patients and HCPs; support the pharmacovigilance and benefit-risk management of the assigned portfolio of GSK global assets to ensure patient safety globally. Expert in clinical safety and pharmacovigilance activities; demonstrate sound judgement and decision making in safety evidence generation, benefit-risk assessment, causality assessment, evaluation of safety signals, and proactive risk management, including management of labelling changes, physician and patient education and monitoring of safety issues in real world. Coach and mentor SERM colleagues in scientific/medical aspects of signal evaluation methodology and risk management and preparation of regulatory safety reports and other documents. Demonstrate track record of quality decision making and creative problem resolution in critical situations, based on assessment of all relevant supporting and conflicting information and understanding of the wider context. Provide excellent medical/scientific judgement, strong analytical skills, proactive approach in drug safety and high sense of urgency. Champion/sponsor safety governance by developing safety strategy and execution for products in clinical development and post-marketing settings; anticipate, detect and address product safety issues and ensure risk-reduction strategies are implemented appropriately. Lead cross-GSK activities such as safety advisory panels; interface with and assume ad hoc membership of a Senior Governance Committee. Engage and contribute to the broader GSK and pharmacovigilance environment outside GSK with confidence, impact, integrity and professionalism. Demonstrate ability to affect department or product strategies with global considerations; build strong collaborative relationships; lead a team in a matrix setting; demonstrate resilience and adaptability; oversee SERM contribution to due diligence activities. Excellent communication (verbal, written) and influencing skills internally and externally; influence others external to GSK to meet organisational objectives; recognised as an authority with expert knowledge of relevant pharmacovigilance regulations and methodologies. Qualifications Medical degree for Senior Medical Director or Health Sciences/Health Care Professional degree (BSc, MS, PhD, RN/BSN/MSN, NP, RPh/B Pharm/Pharm D) for Senior Scientific Director. Completion of formal postgraduate clinical training, clinical residency or specialty training for Senior Medical Director. Comprehensive experience in the pharmaceutical or biotech industry working in pharmacovigilance or drug safety. Significant pharmacovigilance experience relating to safety evaluation and risk management, encompassing both clinical development and post-marketing activities. Knowledge/experience of international pharmacovigilance requirements (ICH, GVP modules, CIOMS initiatives) and drug development and approval processes. Experience working in large matrix organizations. Prior experience in the HIV therapy area is desirable but not essential. Working pattern and location This role is based in the United Kingdom and is hybrid, combining office presence with remote work to support collaboration and flexibility. Benefits & Impact You will have direct impact on patient safety and on the scientific approach we take to benefit-risk decisions. You will grow your leadership skills and expand your influence across scientific, regulatory and clinical stakeholders. Equal Opportunity Employer Statement GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.

Director of Engineering Delivery Location: Cambridge / Hybrid Salary: Competitive + Benefits About the Company This is an opportunity to join an advanced AI organisation operating within a niche yet highly lucrative industry. The business has already established itself as a leader in its field, delivering cutting-edge solutions to complex, real-world challenges. Led by a highly experienced management team and supported by some of the brightest data scientists and engineers in the sector, the company combines deep technical expertise with commercial impact-offering a truly exciting environment for innovation and growth. The Role We are seeking a highly accomplished Director of Engineering Delivery to take ownership of the execution and delivery of complex, large-scale programmes. This role demands an individual who operates at the highest level of delivery excellence-someone who can consistently drive outstanding execution across sophisticated, enterprise-scale initiatives. You will play a pivotal role in ensuring that advanced software solutions are delivered with precision, quality, and pace, even within highly dynamic and evolving environments. Working closely with senior leadership, clients, and multidisciplinary teams, you will champion a culture of accountability, performance, and delivery excellence. About You - Extensive experience delivering and executing complex technology programmes to the highest standards, with a strong track record of outstanding delivery outcomes - Proven background operating at senior leadership level (e.g. Head of Engineering or equivalent) - Strong exposure across multiple technical disciplines, including Engineering, Software Development, DevOps, and/or Data Science - Demonstrable experience building and delivering enterprise-grade software solutions - Fully versed in the end-to-end product lifecycle, from concept and design through to delivery, deployment, and continuous improvement - An expert in resource planning, with the ability to effectively allocate and optimise talent across complex programmes - A career history that includes recognised or 'household name' organisations, reflecting exposure to high standards of delivery and scale - Comfortable leading multidisciplinary teams in environments that require rapid adaptability - Must be comfortable working closely with Senior Management on a regular basis, contributing to strategic decisions and business outcomes - Strong stakeholder management skills, with experience working closely with senior leadership and clients - Degree-qualified (Bachelor's, Master's, or PhD) in Engineering, Computing, or a scientific discipline, ideally from a Russell Group University - An engineering background (or similar) is highly advantageous, particularly with experience working on complex, data-rich systems and environments - A true engineering mindset with the ability to problem-solve and manage complexity at scale - Enjoys coaching, mentoring, and developing others to achieve high performance - A mindset suited to high-growth environments, with experience operating in organisations that have evolved beyond start-up phase but still require agility, pace, and adaptability to frequent change - We would expect a regular on-site presence (at least several days per week), so please consider this before applying Key Responsibilities - Lead the end-to-end delivery of complex, high-value technology programmes, ensuring exceptional standards of execution throughout - Drive a culture of delivery excellence and accountability across cross-functional teams including Engineering, Software Development, DevOps, and Data Science - Manage large-scale, enterprise software development initiatives from concept to deployment, with a relentless focus on quality, timelines, and outcomes - Operate effectively within fast-paced, dynamic environments with shifting priorities, ensuring consistent delivery performance - Collaborate closely with senior stakeholders, clients, and internal leadership teams - Act as a trusted adviser to clients on implementation, building strong relationships and ensuring successful outcomes - Potential for overseas travel in the future as part of client engagement and programme delivery - Lead, mentor, and inspire a diverse workforce, including both academic and industry professionals Why Join? - Work at the forefront of AI innovation in a highly specialised industry - Collaborate with world-class technical talent - Play a pivotal role in shaping and delivering impactful solutions - Join a business with proven success, strong leadership, and ambitious growth plans About Adecco Adecco is acting as an Employment Agency. We are proud to be an equal opportunities employer. We are on the client's supplier list for this role.

enior Development Scientist - Gas Metrology & Clean Energy Applications Location: Uttoxeter, Staffordshire Confidential - Specialist Gas Measurement Organisation An established global leader in gas metrology, calibration and analytical science is looking for a Senior Development Scientist to lead cutting-edge research into gas quality and purity for the clean energy sector. This company provides expert measurement science, consultancy and calibration services to clients across energy, environmental, and industrial sectors - helping to set global standards in gas analysis and ensuring accuracy in hydrogen, CO, and LNG applications. The Opportunity You'll play a key role in advancing new analytical methods, instrumentation, and calibration standards. From hydrogen fuel cell impurity testing to CO purity measurement for carbon capture, this role will allow you to apply deep technical expertise across a range of innovative R&D programmes. Key Responsibilities Lead research and development projects in gas analysis, passivation, and purity measurement. Develop and validate new analytical instruments, methodologies and software tools. Oversee laboratory operations, ensuring UKAS accreditation and compliance with quality, safety and environmental standards. Provide technical leadership and consultancy, supporting clients in energy transition and emission reduction programmes. Prepare technical papers, grant applications and client presentations to promote the organisation's scientific capability. Contribute to the design and production of Primary Reference Gas mixtures and measurement standards. Background & Skills Degree (and ideally postgraduate qualification) in chemistry, physics, materials science or a similar discipline. Strong understanding of gas analysis, instrumentation, and calibration science. Experience developing or managing R&D projects within analytical or measurement environments. Excellent communication and reporting skills with the ability to engage clients and research partners. Proficiency in data analysis or basic programming would be advantageous. Why This Role? You'll join a respected, independent organisation that partners globally with energy majors, research institutions, and regulatory bodies to advance gas measurement accuracy and environmental integrity. Alongside competitive salary, performance bonus, and pension contributions, you'll benefit from flexible working, genuine career development, and the chance to contribute to next-generation measurement standards in hydrogen and carbon capture. If you're passionate about applying scientific rigour to real-world energy challenges, this is an outstanding opportunity to lead innovation in a world-class technical environment. INDENG DCS Recruitment and all associated companies are committed to creating a working environment where diversity is celebrated and everyone is treated fairly, regardless of gender, gender identity, disability, ethnic origin, religion or belief, sexual orientation, marital or transgender status, age, or nationality

A career without limits As the nation's flag carrier, we take great pride in connecting Britain with the world and the world with Britain. It's something we've been doing for over 100 years, ever since we launched the world's first international scheduled air service between London and Paris. This originality has been in our blood since day one. It's the spirit we share with the people that fly with us, our partners, and our colleagues. So, whether you are a reassuring voice on the end of a phone, a smile at the door, under a wing keeping the turbines spinning or landing us gently in far-flung places, a job at British Airways is yours to make. We know great things can happen when you're inspired to think big and bring your ambition to work every day, which is why, at British Airways the sky is never the limit. The role: Senior Product Data Scientist You'll be part of the Operations Delivery Intelligence (ODI) directorate, working within integrated operations product squads that build data-driven decision-support software. This area plays a critical role in improving operational performance by embedding advanced analytics, machine learning and optimisation into day-to-day operational decision-making across the airline. What you'll do: Develop and embed industrialised decision-support software using machine learning and optimisation techniques Act as the technical owner of one or more modules within a production-grade data science product Understand operational business problems end-to-end and identify opportunities to optimise decisions using decision-support tooling Conduct analysis and visualisation to identify valuable opportunities and assess trade-offs between design and feature options Drive modelling and technical approach decisions, balancing implementation speed, runtime performance, technical debt and business value Rapidly prototype advanced machine learning and optimisation models in Python Deliver production-grade machine learning and optimisation modules using software engineering best practice Build robust data ingestion, cleaning and processing pipelines Contribute to software orchestration and cloud-based CI/CD deployment Drive system design decisions alongside software architects Ensure robustness through logging, error handling and automated testing Harden algorithms against operational and data edge cases Quantify adoption and value capture of decision-support products Engage with business stakeholders to gather requirements and feedback Contribute to feature prioritisation and roadmap discussions Support integration of products into operational business processes Communicate modelling approaches, trade-offs and results clearly to stakeholders Mentor junior team members Contribute to agile ways of working including Git version control, code reviews and delivery predictability What you'll bring to British Airways: Experience solving real-world problems using applied machine learning, optimisation and operational research techniques Strong Python capability and experience with data science and optimisation libraries Experience delivering production-quality data science software Familiarity with cloud platforms, CI/CD pipelines and modern orchestration tooling Strong software engineering discipline including testing, logging and version control Ability to structure complex business and technical problems and propose pragmatic solutions Confidence communicating advanced technical concepts to both technical and non-technical audiences Systems-thinking mindset with attention to detail Curious, proactive and resilient approach Collaborative working style with a strong focus on continuous improvement Commitment to delivering measurable business value Your experience: Master's degree or greater in data science, ML, or operational research, or 4+ years of highly relevant industry experience (required) 2+ years working on production ML or optimization software products at scale (required) Experience in developing industrialized software, especially data science or machine learning software products (required) Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people who work with us should feel valued for the part they play. It's one of the reasons our rewards go far beyond a competitive salary. From the day you join us, you'll get access to brilliant staff travel benefits including unlimited basic and premium standby tickets on British Airways flights. You'll also receive up to 30 discounted 'Hotline' airfares per year for yourself, friends, and family. At British Airways you'll have the chance to take on new challenges and move forward in a way that feels right for you. We encourage all those who work for us to consider opportunities right across our business to help you develop and progress. We never stand still, and we don't expect our people to either. Inclusion & Diversity At British Airways we all have a part to play in creating an inclusive place to work. Diverse representation among our people is really important to us and we recognise that all our colleagues are uniquely different and bring their own originality, creativity and identity to work. Inclusion and diversity is a key driver of innovation and we're committed to creating a culture where everyone feels that they can be themselves. We're looking for people from all backgrounds and cultures to join us and be a part of our journey to become a Better BA as we continue to connect Britain with the world and the world with Britain.

The Biochemical Society is seeking to recruit three Independent Trustees for the Council of Trustees to serve an initial five-year term of office, with the potential to extend to a maximum eight-year term. Our Trustees shape the direction of the Society and the delivery of our work; promoting the importance of the molecular biosciences as a discipline, facilitating the sharing of knowledge and expertise and supporting molecular bio-scientists across all career stages. As an Independent Trustee you will work closely with the wider Trustee Council to set the Society's strategy, maintain oversight of the organisations' financial position and manage organisational risk. Contributing an independent voice to discussions, you will collaborate effectively with others for the benefit of the Society. Trustees gain valuable experience in board/committee work, board room dynamics and the overall governance of a charity and company, whilst helping to make a real difference for the molecular bioscience community. Trustees work closely with senior staff members, and other volunteers across the Society's governance framework. The anticipated time commitment is approximately 12 days per year, for which reasonable expenses will be reimbursed should travel be required. We are looking for individuals who are excited about contributing to the Society's endeavours over the coming five-year period. Successful candidates will have: • Good strategic vision and independent judgement • Understanding of financial and organisational risk management and mitigation • Willingness to contribute and collaborate, ad to act as an ambassador for the Society We are particularly interested to hear from people with experience of business and/or commercial transformation, particularly in a charity, learned society or mission-led organisation. This could include: • Creating, capturing and sustaining value in evolving operating environments and developing sustainable non-profit revenue models • Shifting an organisation from one business model to another • Leveraging digital platforms, data and technology (including AI where relevant) to enable scale, efficiency or new forms of value creation Closing date for applications is Friday 22nd May 2026. If you have any queries about this role, please email Sarah Jenner - Head of Governance, Marketing and EDI. To apply, please send in a CV and Cover letter via the apply button. It is important that you DO NOT include your Personal Information i.e. name and contact details in your CV or Cover Letter. We know that diverse teams make us stronger and more effective as an organisation, and we look forward to hearing from all interested candidates. Please note, you do not need to be based in the UK to apply for these roles. The Society takes the security of your data seriously. It has internal policies and controls in place to ensure that your data is not lost, accidentally destroyed, misused, or disclosed, and is not accessed except by our employees in the proper performance of their duties. Please note that due to limited resources it is not possible for the Society to acknowledge receipt of applications. If you do not hear from us within two weeks of the closing date, please assume that your application has been unsuccessful on this occasion.