171 jobs found

Product Owner Shape the future of intelligent sensing and advanced analytics. We're looking for an experienced Product Owner to lead the vision and delivery of a sophisticated analytics platform that transforms complex sensor data into meaningful operational insight. Working at the intersection of product, engineering and data science, you'll define priorities, drive measurable improvements, and ensure analytics capabilities continue to evolve in line with customer needs and technical innovation. Key Responsibilities Define and own the product roadmap for a complex analytics platform, balancing short and long-term priorities. Lead the product backlog, ensuring requirements are clearly defined and ready for delivery. Establish measurable performance targets for analytics, tracking, classification and decision-support capabilities. Work closely with data scientists to translate machine learning and analytical models into production-ready features. Collaborate with software engineers, technical specialists and customers to refine requirements and validate delivered functionality. Monitor product performance using data and metrics, driving continuous improvement through evidence-based decision making. Support agile delivery by prioritising work, accepting completed features and maintaining alignment across multidisciplinary teams. Spend time with customers and operational users to understand workflows and ensure the product delivers real-world value. Requirements Experience as a Product Owner or Product Manager delivering complex software or analytics-based products. Strong understanding of sensor data processing, tracking, data fusion or advanced analytics. A data-driven approach with experience defining KPIs, measuring performance and using evidence to prioritise product decisions. Experience working alongside data science and engineering teams to deliver technical products. Proven ability to translate customer and operational requirements into clear, prioritised user stories and product backlogs. Experience using Azure DevOps or similar agile work management tools. Excellent communication and stakeholder management skills, with the ability to work across technical and non-technical teams. Desirable Experience within defence, aerospace, security, autonomous systems or other high-technology engineering sectors. Knowledge of radar, RF, electro-optical or other sensor technologies. Background in engineering, physics, mathematics, data science or a related technical discipline. Experience delivering AI, machine learning or analytics-driven products. Familiarity with decision-support systems or operational software platforms. Please note: This is a hybrid role based around regular attendance at the Reading office, with occasional travel to operational sites

Data Scientist - Leeds (Hybrid) Gain experience with enterprise level projects at a "data-first" company that is free of legacy systems and corporate bureaucracy! The Opportunity: As Data Scientist, you will turn messy, high-volume data into the models and insights that directly shape the company's core platform. Because data is the product here, you won't be playing second fiddle to any other function, your analysis has a direct, visible line to what the business actually sells, and you'll be able to point to measurable impact quickly. There is zero legacy system maintenance in this role: the infrastructure is modern and cloud-native, so your time goes into solving real analytical problems rather than firefighting old technical debt. This is a hands-on, mid-level role suited to someone with a few years' commercial experience who wants genuine ownership rather than being one of many data scientists in a large, siloed team. What You'll Be Doing Designing and building statistical and machine learning models that solve real commercial problems around pricing, loyalty and customer behaviour Writing efficient, well-tested SQL and Python to explore, clean and model data at scale Working with modern cloud data warehousing tools to access and analyse large, high-volume datasets Translating analysis into clear, actionable recommendations for both technical and non-technical stakeholders Collaborating closely with data engineers to get models into production and monitor their performance Designing and interpreting experiments (A/B tests and similar) to validate impact Requirements: Strong Python skills for data analysis and modelling, plus solid commercial experience with SQL Experience building statistical or machine learning models and working with data in a cloud environment (AWS, Azure, GCP or Snowflake) Exposure to FMCG or retail data i.e. sales, loyalty, pricing, product or customer data will be a strong advantage, though not essential A pragmatic, detail-oriented approach and good communication skills On Offer Salary up to 55,000 Annual Bonus Hybrid, flexible working 26 days annual leave +BH Fully paid day off per year to volunteer or support a charitable cause of your choice On-demand training AND an annual training budget Please note that only candidates within a reasonably commutable distance of Leeds, and full right to work will be considered.

Senior Google Cloud Architect Shape the Future of AI & Data with Us At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world. Your Mission As Senior Google Cloud Architect , you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation ai products. This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years' experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms. What You'll Do Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers. Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects. Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic's capabilities and methodologies. Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence. Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements. Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance. Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders. Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives. Knowledge Sharing: Contribute to Datatonic's internal knowledge base, including technical collateral and thought leadership materials. Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers. Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively. Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation. What You'll Bring Educational Background: Bachelor's or Master's degree in Computer Science or a related technical discipline. Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures. End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions. Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence. Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals. Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels. Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals. Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking. Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects. Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code. Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs. Bonus Points If You Have: Certifications: Google Cloud or AWS Certified Solutions Architect certification. ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink. Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc. Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik. Agile Methodologies: Familiarity with Agile frameworks, including Scrum. Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred. Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation. What's in It for You? We believe in empowering our team to thrive, with benefits including: Holiday : 25 days plus bank holidays (obviously!) Health Perks: 4500 kr per year Healthcare Allowance (paid monthly, after probation) Fitness & Wellbeing: Up to 5000 kr per year Wellness Allowance (payable on receipt of invoice) Hybrid Model: 1200 kr WFH Equipment Allowance (after probation) Learning & Growth: Access to platforms like Udemy to fuel your curiosity. Pension: Private Salary Sacrifice Pension available Why Datatonic? Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn't just encouraged - it's embedded in everything we do. If you're ready to inspire change and deliver value at the forefront of data and AI, we'd love to hear from you! Are you ready to make an impact? Apply now and take your career to the next level. If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.

Senior Product Data Scientist Location: Brighton Hybrid - 3 days a week in the office, reducing to 2 days from Jan 27 Salary: 80,000 - 90,000 dependent on experience Ref: J13155 Do you enjoy using data to solve complex business problems rather than simply responding to requests? We're looking for a commercially minded Senior Product Data Scientist to become the data specialist within a cross-functional product squad. Working alongside Product Managers, Engineers and Designers, you'll use data to shape product direction, challenge assumptions and deliver meaningful customer and commercial outcomes. This is an opportunity for someone who enjoys asking questions, forming hypotheses and using data to influence what gets built. You'll combine analytical thinking, experimentation and technical expertise to solve real business problems, helping to develop data-powered products and features. What you'll be doing Partner with Product Managers, Engineers and Designers to solve customer and business challenges. Analyse customer and operational data to identify opportunities, trends and areas for improvement. Apply statistical thinking, experimentation and hypothesis testing to validate ideas and measure success. Build analytical solutions using SQL and Python to support product development and commercial decision-making. Communicate insights clearly, influencing both technical and non-technical stakeholders. Help shape data-driven product features and continuously improve how data is used across the product. About you Commercial experience in a hands-on technical data role, ideally within a product-led, marketplace or e-commerce environment. Strong SQL skills with experience querying complex datasets and a good understanding of data modelling principles. Commercial experience using Python for data analysis, statistical modelling and rapid prototyping. Experience applying experimentation techniques, including hypothesis testing and A/B testing, to solve business problems and support product decisions. Naturally curious with excellent critical thinking skills, able to identify opportunities, challenge assumptions and use data to influence outcomes. Confident communicating complex findings to both technical and non-technical stakeholders, working collaboratively within cross-functional product teams. An interest in modern AI tooling and a desire to continue developing across product analytics, data science and data engineering. If you're looking for a role where you can combine product thinking, analytics and technical expertise to influence customer experiences and commercial outcomes, we want to hear from you. For more information make an application today! Alternatively, you can refer a friend or colleague by taking part in our fantastic referral schemes! If you have a friend or colleague who would be interested in this role, please refer them to us. For each relevant candidate that you introduce to us (there is no limit) and we place, you will be entitled to our general gift/voucher scheme. Datatech is one of the UK's leading recruitment agencies in the field of analytics and host of the critically acclaimed event, Women in Data UK. For more information visit our website: (url removed)

TransUnion's Job Applicant Privacy Notice What We'll Bring: We Are TransUnion: TransUnion is a major credit reference agency, and we offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance. What You'll Bring: We're looking for a Analytical Consultant to join our growing team. Day to Day You'll Be: You will participate in projects with data scientists & solutions consultants on analytic client engagements involving descriptive, predictive, and prescriptive analysis through the consumer lending portfolio lifecycle, leveraging a variety of techniques (e.g., segmentation, logistic regression, etc). You will deliver analytic insights and recommendations in succinct and compelling presentations for internal and external customers. You will design and write programs for data extraction, segmentation and statistical analysis on large population datasets using languages such as R, Python, and Spark. You will foster a high-performance culture and cultivate an environment that promotes excellence and reflects the TransUnion brand. Essential Skills & Experience: Bachelor's degree in mathematics, statistics, applied mathematics, financial mathematics, engineering, operations research, or another highly quantitative or scientific field, a consistent track record of academic excellence. Professional experience performing analytic work in industries served by TransUnion, such as financial services, insurance, and telecommunication. Experience and demonstrated success in client-facing roles. Strong analytical, critical thinking, and creative problem-solving skills. Advanced programming skills; proficiency with a statistical language such as R or Python; high level of familiarity with Microsoft Office tools. Versatile interpersonal and communication style with the ability to effectively communicate at multiple levels within and outside the organization; ability to work in a collaborative, fast-paced environment. Impact You'll Make: What's In It For you? At TransUnion you will be joining a friendly, forward thinking global business. As well as an excellent salary and bonus scheme or commission scheme (if joining our sales teams) our benefits package comes with: 26 days' annual leave + bank holidays (increasing with service) Global paid wellness days off + a bonus day off to celebrate your birthday A generous contributory pension scheme + access to the TransUnion Employee Stock Purchase Plan Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools Access to our diversity forums and communities so you can get involved in causes close to your heart TransUnion - a place to grow: If there's something on the list of essential / desirable skills that you can't quite tick off, don't let that put you off applying. We are open to exploring training and development opportunities for the right candidate to ensure you are successful. We know imposter syndrome is real, lets confront it so we can continue to grow and thrive together Flexibility at TU: We recognise that our people need the freedom to balance their day-to-day lives with their work. This is why we've set out to create inclusive and flexible policies and practices for you to accommodate all your responsibilities and needs: children, family and beyond. If the role is advertised as full time, don't let this stop you from applying. Let us know if you're looking for a part time or flexible working arrangement and we can discuss this with you. Additional support: At TransUnion, we're committed to fostering an inclusive and diverse workplace where all individual's talents and perspectives are valued. When you apply for a position with us, you're not just joining a team, you're becoming part of a community that celebrates differences and embraces equality. We understand that everyone has different needs, which is why we offer a range of reasonable adjustments to our recruitment process. Please let us know if you require any reasonable adjustments to help you through the application process or to attend an interview with us by contacting (url removed) Interview & Hiring Process: Most of our recruitment processes are virtual, so you'll get to know our hiring managers and teams over the phone and through video. If we need you to attend a physical in person interview your recruiter will inform you of this. We do not accept any unsolicited CV's from recruitment agencies. If you are a recruitment agency on our PSL our talent team will contact you directly should we require any assistance. Find out more about Life At TU UK: (url removed) is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. TransUnion Job Title Consultant, Analytics Consulting

Lead Data Scientist Fully Remote £90,000 £100,000 + Benefits Build the models behind real-time decision making at scale. Why this role stands out This isn t just another senior data science position. It s a chance to shape the future of analytics in one of the UK s most successful privately owned technology businesses, a market leader trusted by millions and driven by data at its core. You ll join a high-performing team working with real-time data, advanced machine learning, and large-scale analytical systems, with the freedom to influence both technical direction and best practice across the function. What you ll be doing As Lead Data Scientist, you ll combine deep technical work with strategic leadership: Design and deploy predictive models and ML solutions that power real-time markets. Work hands on with cutting-edge datasets, AI techniques, and scalable data pipelines. Identify patterns and insights that directly influence live business decisions. Collaborate closely with engineers, analysts, and platform teams to optimise performance and reliability. Drive best practice, mentor / coach across the Data Science function. This is a role where your ideas won t sit in a backlog for months They will have a visible impact in real time. About you You re an experienced data scientist who enjoys solving complex problems and helping others grow. We d love to hear from you if you have: Proven experience in a Senior or Lead Data Scientist role (preferably in sports, gaming or similar). A track record of mentoring teams and leading technical projects. A degree (BSc/MSc) in Data Science, Mathematics, Computer Science, or a related field. Strong programming skills in Python or R, with experience using frameworks such as Scikit-learn, PyTorch, or TensorFlow. Experience with cloud platforms or distributed computing (GCP preferred, but AWS or Azure also welcome). Exposure to neural networks (a plus, not a must). A genuine interest in sports and data-driven decision making. What you ll get in return Fully remote working with flexibility built in. £90,000 £100,000 salary plus additional benefits. Access to huge, high-quality datasets and modern ML tooling. The chance to work on intellectually challenging problems every day. Real influence over large-scale analytical systems and strategy. Clear opportunities for career growth within an expanding Data Science function. If you re passionate about analytics, machine learning, and building systems in real time, this could be the opportunity you ve been waiting for. Apply now to find out more.

Data Scientist (AI / ML) - Near Edinburgh Hybrid - 42K plus Bonus Hybrid - 2/3 days in office per week Lorien's longstanding client based near Edinburgh, a leader in their industry with an award-winning product line making a huge difference around the globe, have asked us to help them in their search for a Data Scientist with a good grasp of Artificial Intelligence / Machine Learning to form a key part of their already innovative, highly collaborative R&D-style environment. You'll use your talents across everything from delivering well-documented designs and implementations of ML models and analytical methods, to bridging the gap between Data Science and Product teams and acting as a core figure in the communication and translation of ongoing AI strategies to stakeholders. This is an ideal opportunity for someone who enjoys tackling complex data challenges, applying modern AI and machine learning techniques, and seeing their work have a tangible impact on real-world products used internationally. Key Responsibilities Design, develop, and evaluate machine learning models and advanced analytical solutions. Produce clear technical documentation, performance reports, and experimental evaluations to support business and product decisions. Collaborate with a range of internal stakeholders to ensure solutions meet performance, quality, and commercial objectives. Support the integration, verification, and validation of machine learning solutions within product development programmes. Work with external research, technology, and academic partners to transfer knowledge and innovative approaches into the business. Identify opportunities to leverage data science techniques to improve products, customer experiences, and internal business processes. Contribute to the continuous improvement of development standards, methodologies, and infrastructure. Stay current with emerging trends and developments across data science, machine learning, artificial intelligence, and analytics. Alongside strong skills across the Artificial Intelligence ( AI ) / Machine Learning ( ML ) domains and a track record of developing and deploying ML solutions in a commercial setting, they'd love if you could bring the following with you: PhD, or equivalent commercial track record, in a quantitative discipline such as Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field. Demonstrable experience translating research and technical concepts into practical, real-world applications. Excellent programming skills and a solid understanding of algorithms, computational methods, and software development principles. Experience designing and conducting experiments, evaluating performance, and interpreting complex datasets. Strong communication skills with the ability to present technical findings to both technical and non-technical audiences. A curious and collaborative mindset with a passion for innovation and problem-solving. What's on Offer Annual bonuses and salary reviews, hybrid working and flexible start/finish times, comprehensive benefits package, and more. Opportunity to work on genuinely innovative technology and products with global reach. Collaborative environment with highly skilled researchers, engineers, and technical specialists. Exposure to global-reaching AI, machine learning, and data science projects. Professional and technical development opportunities within a growing and successful organisation. If you're passionate about applying machine learning and data science to solve complex challenges and want to join an organisation at the forefront of innovation, we'd love to hear from you. In return, our client offers their employees ample opportunities to flourish both technically and professionally, give back to the community in a very direct and rewarding way, and enjoy a range of different benefits with people at the centre, such as flexible and hybrid working arrangements, annual bonuses and salary reviews, and more. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Data Scientist Role Type: Temporary contract Contract Length: 6 months initially Pay Rate: up to 450- 550 per day (inside IR35), depending on experience Location: London (Hybrid) The Role We're looking for an experienced Data Scientist to develop intelligent, data-driven products that help organisations make better decisions in complex and fast-changing environments. Working closely with Product Managers, Solution Architects, Data Engineers and Machine Learning Engineers, you'll apply advanced analytics, statistics and machine learning to transform large, complex datasets into trusted customer-facing data products. This is an opportunity to play a key role in building commercially valuable products while helping shape the future of data and AI across a global organisation. Key Responsibilities Analytics & Machine Learning Design, build, validate and maintain predictive and prescriptive models across travel, security and location-based datasets. Apply statistical analysis, machine learning and experimentation techniques to improve data quality, accuracy and reliability. Develop risk scoring models, benchmarks and domain-specific analytical frameworks that support customer decision-making. Product Development Translate customer challenges and market requirements into innovative analytical solutions and data products. Work closely with Product Managers to help define product value propositions, success metrics and commercial opportunities. Contribute to product roadmap planning by assessing technical feasibility, business impact and customer value. Data Quality & Governance Define data quality standards, validation rules and anomaly detection processes. Ensure analytical solutions align with privacy, governance and ethical AI principles, particularly within regulated environments. Support data lineage, explainability and auditability across analytical outputs. Collaboration & Delivery Partner with Data Engineers to ensure reliable, model-ready data pipelines. Work alongside Machine Learning Engineers to deploy and operationalise models at scale. Present technical findings and recommendations clearly to both technical and non-technical stakeholders. What We're Looking For Essential 7+ years' experience in Data Science or a similar advanced analytics role. Strong programming skills in Python and SQL , with experience using modern machine learning libraries. Experience building predictive models using statistical and machine learning techniques. Strong communication skills with the ability to translate complex analysis into clear business insights. Experience working with large, complex datasets in cloud-based analytics environments. Desirable Experience developing customer-facing or commercially focused data products. Experience working in regulated industries such as Financial Services, Healthcare, Energy or Security. Knowledge of data governance, model explainability and responsible AI practices. Experience collaborating with Product Managers and cross-functional engineering teams. Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003.

Data Engineer (AWS) 12-month FTC, Canary Wharf, London One of our government clients is recruiting for a Data Engineer to join them on a 12-month fixed term contract (FTC). They are offering £49,400 per annum plus excellent pension. This is an exciting opportunity to apply your data engineering skills for the public good in the Data, Technology and Insights (DTI) unit, a multidisciplinary team of data engineers, data scientists, technologists, behavioural scientists, and digital forensics experts. What you ll do: Join a multidisciplinary team of data engineers and data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated web scraping and bulk data acquisition workflows. Implement data transformation, validation, and quality controls to ensure datasets are reliable, reproducible and analysis ready. Build and maintain containerised data and analytics applications (such as dashboards and data tools) that run scalable workloads. Implement and manage data workflow orchestration and scheduling to ensure observable and maintainable execution of data pipelines and jobs. Apply Infrastructure as Code (IaC) where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What you ll need: Experience delivering production data pipelines end-to-end, including design, implementation, and operational maintenance, in a cloud environment. (Lead Criteria) An undergraduate degree in a quantitative subject OR equivalent experience working in data engineering, data science, or development in the cloud. (Lead Criteria) Experience writing production-quality Python code to work with complex or messy datasets. ( Lead Criteria) Understanding of core data engineering best practices, such as data-modelling, transformation, validation, testing, and reproducibility. Experience working collaboratively within multidisciplinary teams, including analysts, data scientists, or other engineers. Strong communication skills, with the ability to present work in a straightforward and engaging way, including to non-technical audiences SmartSourcing are a Disability Confident Employer and we promote, celebrate and value diversity, we are committed to promoting equality and inclusion for all.

Location: Home-based, within 90 mins of Manchester Travel: travel 40-60%, UK wide Are you an experienced technical sales professional with a background in analytical instrumentation? Looking to represent a market-leading portfolio and work with laboratories across the UK? Due to continued growth, this well-established scientific instrumentation supplier, renowned for delivering high-quality analytical solutions, is seeking an experienced scientific sales specialist to manage and grow its analytical instrumentation portfolio. About the Role This is a field-based position combining account management, new business development and technical product support. You'll work closely with customers across academia, industry and commercial laboratories, throughout the entire sales process; from identifying opportunities and delivering instrument demonstrations through to installation support and customer training. You'll represent a portfolio including: ICP-OES & ICP-MS Atomic Absorption (AA) Elemental Analysers TOC/TOX Analysers Ion Chromatography You'll also play an active role in product launches, exhibitions, seminars and other marketing activities, helping to grow market share across the UK. About You To be successful you'll have: A degree (or equivalent) in Chemistry or another relevant scientific discipline. Previous technical sales experience within the laboratory instrumentation sector. A proven ability to develop new business while maintaining excellent customer relationships. Excellent communication, presentation and organisation skills. A full UK driving licence and willingness to travel extensively (2/3 days per week) throughout the UK, with occasional overseas travel for training. Whether your experience has been selling analytical instruments, laboratory equipment or associated scientific technologies, you'll combine commercial drive with the technical credibility to work confidently with scientists and laboratory managers. What's on Offer? This is an excellent opportunity to join a highly respected scientific supplier with an established customer base, premium product portfolio and genuine opportunity to make an impact within a growing business. The package includes: £45,000-£65,000 basic salary, depending on experience Up to £15,000 annual bonus Company car or car allowance 7.5% employer pension contribution Private healthcare Life assurance and long-term sickness cover Five weeks' holiday plus bank holidays and Christmas shutdown Interested? Apply today or get in touch with the VRS team for a confidential discussion. VRS9495DJ.

Postdoctoral Researcher in Quantitative Cell Biology/Biochemistry SALARY: From £39,500 per annum (depending on skills and experience) + Benefits JOB TYPE: Full-Time, 18 Months Fixed-Term Contract (with the possibility of extension) LOCATION: Didcot, Oxfordshire The Rosalind Franklin Institute (the Franklin) is a technology institute established by the UK Government as a unique centre committed to advancing tools that are needed to transform healthcare in the future. The Institute brings together researchers in life and physical sciences, and engineering, to develop a spectrum of tools which we will use to image, interpret and intervene in biological systems. These insights will speed up the discovery of new medicines, help find new diagnostics and contribute to a deeper understanding of human health and disease. Our Science Strategy seeks to focus the Franklin s research and unite our researchers around our Technology Innovation Challenges and Life Science Challenges. If you are a creative scientist who would like to work in collaboration between biophysics, structural biology and biochemistry, then join us. Our labs (Pombo-Garcia & Wu) are interested in molecular organisation of cell interfaces in the epithelial tissue and glycobiology. We use super-resolution STED microscopy, CryoET, in combination with biophysics and chemical biology, to uncover how epithelial cells organise in space and time under different physico-chemical environments to drive self-organisation processes, like condensates, that shape mesoscale structures enabling tissue function. As a Postdoctoral Researcher at the Rosalind Franklin Institute, you will bring scientific knowledge and skills to deliver a specific research project and/or you will bring independent, creative science, or specific skills to a team delivering a project or program. Through this work, you will build scientific independence, develop new science and leadership skills, and establish a growing reputation externally. Your role will be to lead a research project focused on developing tools for quantitative imaging of epithelial cell biology and biophysics. Moreover, you will support and develop novel workflows of bioimaging analysis to quantify advanced imaging data generated by super-resolution STED microscopy, FLIM, FRET and FCS. Candidates must hold a PhD in cell biology, biophysics or biochemistry along with experience in advance quantitative microscopy analysis. We are looking for a colleague with strong organisational and communication skills, with demonstrated laboratory experience. Experience in formulating research questions and devising strategies to address these questions would aid the individual selected for this role. We expect you to lead publications, contribute to research grant writing, collaborate with other members of the lab towards knowledge advancement. This post would be ideal for a candidate who has developed a strong background in imaging quantitative biology, biophysics or in vitro reconstitution and would like to lead a project developing novel imaging tools to understand different biomolecules of cell-cell interfaces and who would like to gain further experience in cutting edge techniques including super-resolution imaging, condensate biology and CryoET. Key Responsibilities Your primary task will be to lead a project on quantitative cell biology of cell interfaces. You will develop novel tools to visualise biomolecules (lipids, glycans, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based on super-resolution fluorescence and CryoET and will need to analyse data. We encourage applicants with a broad experimental-analytical interest, as the job holder will contribute both to the development of new methods and their application to investigate the organisation and dynamics of cell interfaces. As a Postdoctoral Researcher, you will also: Plan and conduct experiments, analyse and interpret results and supervised delivery of outputs (e.g. research reports, patent applications) in a scientific/technology area of interest. Work within a project team, contributing to wider projects around key Franklin's Challenges. Lead major contributions to research outputs including papers, patents and both internal and external presentations. Support and develop others including day-to-day supervision of students or visitors in areas related to your own research. Have supervised, staged progression to first stages of scientific independence with opportunities to further develop science and skills/experience. Enhance your research through collaboration with other researchers and make active contributions to exchange of ideas through your own network. Be able to understand, interpret, create and communicate appropriately within a research context. Develop search and discovery skills and techniques. Be supervised by a Scientist/Senior Scientist in delivery of research outputs, either in the context of a project or Franklin's Challenge or as an early career development fellow. This job description sets out the skills and experience we believe are needed to be able to do this job but, research also tells us women are much more likely than men to take this list of requirements as absolute and self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or equivalent), we may consider candidates who have submitted their PhD/DPhil thesis, in which case the initial appointment will be made at £38,500 per annum (to be increased on completion of the PhD/DPhil qualification). In return we offer: 25 days holidays plus bank holidays and Christmas holiday shutdown Generous pension scheme (employer s contribution currently up to 18%) Group Life Assurance (also known as Group Life Insurance or Death in Service) Buying and Selling Annual Leave Workplace Nursery Salary Sacrifice Scheme Hub building with state-of-the-art laboratories Hybrid and flexible working Training and development opportunities for staff at all levels Bus pass discount scheme and good transport links to Oxford and surrounding areas Cycle to Work Scheme Access to employee discount platform (Perkbox) Occupational Health and wellbeing support including Employee Assistance (24/7 support and counselling) Health Cash Plan Subsidised canteen and food outlets on campus Free on-site parking Campus location in beautiful countryside with social and sports clubs open to staff The Franklin s underlying aim is to produce the best science for research today, and this means resolutely embracing a diverse team, who have a wide range of experiences, skills and knowledge to push forward on the innovative work our institution delivers. Both our work and our institution are better for it. We are committed to creating an inclusive environment where every applicant has an equal opportunity to showcase their talents and abilities. This includes making adjustments for candidates with specific needs. Please contact us to discuss your requirements confidentially. At the Rosalind Franklin Institute we also welcome applications from all around the world! How to Apply To be considered for this role, please upload a CV and cover letter explaining why you think you are the right person for this job. The link to apply is provided at the bottom of this page. Closing date: The closing date for applications is 23:59 on Sunday 23rd August 2026. Interviews are planned for w/c 14th September 2026. Key Words Postdoctoral Research Associate, Postdoctoral Research Scientist, Research Fellow, Research Associate, Postdoctoral Scientist, Cell Biology Researcher, Biochemistry Researcher, Biophysics Researcher, Quantitative Cell Biology Researcher, Bioimaging

Quantum is now, and it's built here. Oxford Ionics, now part of IonQ, is pioneering the next generation of quantum computing. Using our world-leading trapped-ion technology, we're building the most powerful, accurate and reliable quantum systems to tackle problems that today's supercomputers cannot solve. Joining Oxford Ionics means becoming part of a global IonQ team that is transforming the future of quantum technology - faster, at scale, and with real world impact. What to expect: We are looking for a Senior Mechanical, Electrical and Plumbing Facilities Technician to join our Facilities team. This is a hands-on, front-line role supporting the day-to-day operation of our site and the building systems that enable our teams to build some of the world's most advanced quantum systems. You will take ownership of routine facilities operations, preventative maintenance, compliance tasks and site activity control. Working across mechanical, electrical, plumbing, HVAC, lighting and wider building systems, you will help ensure our facilities remain safe, reliable and ready to support highly technical work. This role would suit someone who enjoys practical problem solving, takes pride in keeping critical environments running smoothly, and is comfortable working closely with internal teams, external vendors and contractors. What you'll be responsible for: You will be responsible for carrying out regular inspections, maintenance and repair tasks across building systems, making sure issues are managed through to resolution. You will follow preventative maintenance schedules, operate and monitor site systems, maintain accurate records, and help ensure compliance with relevant safety regulations, codes and company policies. Key responsibilities will include: Performing inspections, maintenance and minor repairs across HVAC, plumbing, mechanical, electrical, lighting and wider building systems Coordinating with external vendors and contractors for specialist maintenance, repairs and project work Monitoring facilities requests, responding to employee needs, and maintaining a service-focused relationship with internal stakeholders Maintaining records for inspections, repairs and audits, while supporting compliance with safety requirements, site procedures and company policies Supporting facilities emergency response, including protocols for power outages, water leaks and equipment failures, with occasional after-hours or weekend on-call support when required Requirements You will need hands-on experience working with mechanical, electrical and plumbing systems, alongside a strong understanding of facilities maintenance in a technical, manufacturing or laboratory environment. You should be comfortable reading schematics, drawings, technical specifications and operating procedures, and confident using hand tools to complete small repairs and practical facilities tasks. We are looking for someone with a safety-first mindset who can recognise hazards, use appropriate PPE and work carefully in a busy technical environment. You should also be able to communicate clearly with colleagues, contractors and stakeholders, keeping people informed while driving issues through to completion. You'd be a great fit with: A technical degree or certification, with at least 10 years' experience in facilities maintenance, mechanical, electrical and plumbing systems Experience using facilities management software, CMMS systems, and common workplace tools including Google and Microsoft platforms Practical experience completing small facilities, manufacturing or lab repairs using hand tools and appropriate procedures The ability to carry out physically demanding work, including lifting up to 50 lbs, bending, kneeling, working overhead and carrying equipment Experience in project coordination, analytical problem solving, or a Mechanical or Electrical Engineering background Benefits Be part of a team that's shaping the future of quantum. We offer more than just a role, you'll join a world class community of scientists, engineers and innovators working to unlock the full potential of quantum computing. We offer a range of benefits, including opportunities to further your career alongside industry leaders, a competitive salary with IonQ stock options, an annual performance bonus, generous annual leave, flexible hybrid working, private medical and dental insurance for you and your family, and much more. Join us and be part of the future of quantum computing. We're proud to be an equal opportunity employer and welcome applicants from all backgrounds.

Senior Data Scientist - Insurance & Machine Learning & Pricing Analytics Our client, a leading London Market insurer, is seeking a Senior Data Scientist to join their growing Data Science function. Following significant investment and increased adoption of data science across the business, this role offers the opportunity to work on a range of high-impact machine learning and analytics initiatives that are influencing business strategy and underwriting performance. Reporting directly to the Data Science Manager, you will join a close-knit team of data science professionals and play a key role in shaping and delivering advanced analytical solutions across the organisation. This is an excellent opportunity for an experienced Data Scientist looking to step into a senior-level position within a business where data science has genuine visibility and support from senior stakeholders. This is a permanent role paying up to £92,000 and requires 3 days per week in the London office. Experience Required: Demonstratable years' experience in a Data Scientist position, with the ability to operate at Senior Data Scientist level Strong Python development skills with experience building and deploying machine learning solutions Experience working with MLOps frameworks and best practices Strong understanding of CI/CD principles and deployment processes Experience developing, tuning, testing, and optimising machine learning models Good understanding of model validation, experimentation, and performance measurement techniques Insurance industry experience is essential Exposure to actuarial modelling and pricing optimisation within insurance is highly desirable and close to essential Excellent communication and stakeholder management skills with the ability to engage effectively with both technical and non-technical audiences A collaborative, hardworking, and pragmatic approach to problem-solving Desirable Skills: Experience with Databricks or similar modern data platforms Exposure to pricing, underwriting, or actuarial analytics within the insurance sector If you feel you have the right skill set to take on this opportunity, please apply. Successful candidates will be contacted within 2 working days. The processing and use by us of your personal data is in accordance with our Privacy Notice which can be found on our website. William Alexander Diversity & Inclusion Policy actively promotes the principles of equality, diversity, and inclusion in all its dealings with employees, workers, job applicants, clients, customers, suppliers, contractors, and the public. We fully believe an inclusive work culture where people of different backgrounds are valued equally will ensure better outcomes for us all, and we approach recruitment for our clients with the same perspective and qualities. Senior Data Scientist - Insurance, Machine Learning & Pricing Analytics

Data Scientist Slough - 2 days per week Up to 520 per day - inside IR35 Initial 6 month contract SQL / Python / PySpark / NLP / Gen AI / Azure This is a hands-on Data Scientist role within the Journey Insights team, focused on building and delivering data science solutions that improve understanding of customer contact journeys. Working with both structured and unstructured data, you will uncover insights and identify opportunities to enhance customer and operational outcomes. You will combine machine learning, NLP, and Generative AI techniques to extract value from text, develop predictive and analytical models, and take ownership of deploying data science products into production. Key skills will include: Demonstrated ability to translate ambiguous business challenges into clear analytical problems, developing and delivering end-to-end data science solutions that generate tangible business value Experience integrating structured and unstructured data sources to create meaningful features for modelling, analysis and GenAI-powered applications Proven track record of developing data science solutions using NLP and Generative AI techniques, including text classification, summarisation, entity extraction, embeddings, retrieval-augmented generation (RAG) and LLM-enabled workflows Strong programming expertise in SQL, Python and PySpark, applying software engineering best practices such as code readability, version control, testing and reproducibility Experience deploying data science models and products in cloud environments, ideally Azure, including CI/CD pipelines and production monitoring Knowledge of database technologies, preferably including graph databases, and experience combining internal and external data sources to support analytical and modelling use cases Excellent communication and stakeholder management skills, with the ability to explain complex technical concepts in clear, accessible language and present compelling insights to diverse audiences This role requires being on site just 2 days per week in Slough. Data Scientist Up to 520 per day - inside IR35 Initial 6 month contract SQL / Python / PySpark / NLP / Gen AI / Azure

Lead Data Scientist required by an established UK organisation on a 12-month fixed-term contract. This is an excellent opportunity for a technically strong data science professional who enjoys leading high-performing teams while remaining hands-on with advanced analytics, machine learning and AI. You'll play a key role in shaping the organisation's data strategy, delivering innovative analytical solutions and driving commercial value through data. The Role Reporting into the Head of Analytics, you'll lead a team of Data Scientists and Analysts, providing both technical direction and people leadership. You'll work closely with senior stakeholders across the business to identify opportunities where data science can improve decision-making, increase efficiency and unlock new commercial insights. This is a varied role combining leadership, stakeholder engagement and hands-on data science. Key Responsibilities Lead, mentor and develop a team of Data Scientists and Analysts. Deliver advanced analytics, predictive modelling and machine learning solutions to solve complex business challenges. Identify opportunities where AI and data science can create measurable business improvements. Translate business requirements into scalable analytical solutions. Work alongside Data Engineering and BI teams to deploy and maintain production-ready models. Champion innovation by evaluating emerging technologies and best practices within data science and AI. Present analytical findings and recommendations to senior stakeholders across the organisation. Drive continuous improvement across analytical capability, governance and delivery. About You You'll be an experienced Lead Data Scientist or Senior Data Scientist with previous leadership experience and a passion for delivering business value through data. You'll ideally have experience with: Python, SQL and either R or similar analytical languages. Machine Learning, predictive modelling and statistical analysis. Databricks or comparable cloud-based analytics platforms. Tableau, Power BI or other data visualisation tools. Working with cloud data platforms, data lakes and enterprise data warehouses. Leading and developing technical teams. Communicating complex analytical concepts to both technical and non-technical audiences. You'll be naturally inquisitive, commercially minded and enjoy working closely with stakeholders to solve challenging business problems. What's on Offer Salary between 70,000- 80,000 10% annual bonus Private Healthcare Generous pension 25 days annual leave plus the option to buy additional holiday Hybrid working (3 days per week in the Bristol office) Employee wellbeing programme Excellent learning and development opportunities A collaborative and supportive working environment This is a fantastic opportunity to join a forward-thinking organisation where data is central to business strategy and innovation. If you're interested in finding out more, we'd love to hear from you.

Senior Analytical Chemist £up to c70k + Bonus South, ABJ6748 PERM - ONSITE An exciting opportunity for an experienced Analytical Scientist to join a global Analytical Centre of Excellence supporting the development of innovative analytical capabilities for next-generation products. Working within a multidisciplinary Research & Science environment, you will provide technical leadership in routine and advanced analytical testing, method development and data interpretation, delivering high-quality analytical data to support product development, scientific understanding, regulatory submissions and competitor analysis. This role offers the opportunity to work with state-of-the-art analytical instrumentation whilst collaborating with global scientific teams, external laboratories and academic partners. Key Responsibilities Plan, execute and report routine and advanced analytical testing using approved methodologies and best laboratory practices. Develop, optimise, validate and deploy analytical methods within a quality-controlled laboratory environment, including ISO 17025 standards. Apply expert knowledge across a broad range of analytical techniques including GC-FID, GC-MS, GCxGC, HPLC and HPLC-MS/MS. Operate, calibrate, maintain and troubleshoot sophisticated analytical instrumentation. Deliver accurate, timely and fit-for-purpose analytical data to support product development, lifecycle management and regulatory programmes. Interpret complex analytical datasets using appropriate informatics and data processing tools. Act as the analytical representative within multidisciplinary project teams, collaborating with internal stakeholders and external scientific partners. Produce high-quality technical reports, scientific publications and presentations. Monitor developments in analytical science, identifying opportunities to introduce new technologies and improve analytical capability. Maintain compliance with laboratory quality systems, Environmental, Health & Safety procedures and regulatory requirements. Contribute to project planning, resource management and continuous improvement initiatives across the analytical function. Experience & Skills Required Degree in Chemistry, Analytical Chemistry or a related scientific discipline. Significant industrial experience within an analytical laboratory or research environment. Strong practical knowledge of: GC-FID GC-MS GCxGC HPLC HPLC-MS/MS, Triple quad. Extensive experience in analytical method development, validation and deployment. Experience operating, calibrating, maintaining and troubleshooting advanced analytical instrumentation. Experience working within ISO 17025 accredited and/or GxP compliant laboratories. Experience using analytical informatics and data processing software to analyse and interpret complex datasets. Experience supporting technology transfer and third-party laboratory validation studies. Strong technical communication and stakeholder management abilities. Benefits Competitive salary +bonus + strong pension: Comprehensive benefits package. Ongoing professional development and learning opportunities. Full Time. To Apply: Please contact Alison Basson on (phone number removed) / (phone number removed) or apply for ABJ6748 to

Our client is seeking an experienced Senior Membrane Application Scientist with strong membrane chemistry expertise, analytical capability, and hands-on pilot-scale testing experience. This role focuses on evaluating and developing an advanced membrane technology platform, helping the business understand performance boundaries, technical advantages, and potential applications across customer and industrial process streams. The successful candidate will be a strong chemist with a practical approach to membrane testing, fluid handling systems, and small to medium-sized pilot plants. They will be comfortable designing experiments, interpreting complex datasets, troubleshooting process challenges, and translating findings into clear technical recommendations. Working closely with Innovation, Engineering, Commercial, and customer teams, the successful candidate will support laboratory trials, pilot testing, customer demonstrations, commissioning activities, and technical reporting. The role will involve international travel to support customer trials and represent the business at customer sites globally. Key Roles & Responsibilities Membrane Chemistry & Analytical Testing Design and execute laboratory and pilot-scale test programmes to assess membrane performance across a range of feed streams and operating conditions. Apply strong chemical understanding to investigate membrane selectivity, fouling, cleaning behaviour, stability, and operating limits. Develop and utilise appropriate analytical methods to understand feed chemistry, permeate quality, concentration effects, and overall process performance. Product Testing & Application Development Support the development and validation of the company's advanced membrane technology platform through structured testing and application studies. Help define the capabilities, benefits, and potential applications of the technology across water treatment, industrial separations, resource recovery, and related markets. Pilot Trials & Customer Support Support laboratory, pilot, and field trials at company and customer sites, including international locations. Assist with the setup, operation, troubleshooting, and commissioning of small to medium-sized membrane pilot systems. Project Management & Technical Communication Independently manage assigned projects, test programmes, and customer trial activities with clear priorities, milestones, and timescales. Coordinate activities across internal teams and external partners to ensure projects are delivered safely and effectively. Documentation & Compliance Maintain detailed records of experimental methods, raw data, analysis, conclusions, and project decisions. Ensure all testing and pilot activities are completed in line with company health and safety requirements and relevant site procedures. Candidate Requirements The successful candidate will possess the following skills, behaviours, and experience: BSc, MSc, or PhD in Chemistry, Chemical Engineering, Materials Science, Membrane Science, or a related scientific discipline. Strong chemistry background with excellent analytical and practical problem-solving skills. Experience with membrane separation technologies, water treatment, industrial process chemistry, or related separation processes. Hands-on experience designing, running, and interpreting laboratory or pilot-scale experiments. Practical experience working with process equipment, pilot plants, pumps, pipework, instrumentation, and sampling systems. Ability to analyse complex technical data and translate findings into clear conclusions and recommendations. Strong technical report writing, documentation, and presentation skills. Confident communicating technical information to customers, partners, and internal stakeholders. Ability to manage multiple projects independently in a fast-paced R&D and customer-facing environment. Good understanding of health and safety requirements within laboratory, pilot, and customer-site settings. Willingness to travel internationally to support customer trials, pilot installations, and commissioning activities. Collaborative, flexible, and practical mindset, with the ability to work effectively across Innovation, Engineering, Commercial, and customer-facing teams.

Machine Learning Engineer - Spiking Neural Networks Salary: 75,000 to 100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office and customer-site based in West London, although some remote working will be available. Machine Learning Engineer responsibilities Apply your knowledge of SNNs to the development of a novel machine vision engine. Develop high-quality C++ software based on research outputs and product requirements. Use machine vision and image-analysis techniques to solve complex engineering challenges. Contribute to projects using CNNs and Transformer networks. Integrate recent Machine Learning algorithms into production software. Support synthetic training-image generation and the curation of real-world ISR imagery. Work closely with Researchers to understand and implement technical solutions. Contribute to system design, version control, testing and CI/CD pipelines. Support colleagues and customers during technical discussions and project delivery. Essential experience Current hands-on experience developing Spiking Neural Networks. Strong C++ programming and software engineering skills. Knowledge of machine vision, image analysis or computer vision. The ability to understand research outputs and transform them into reliable software. Experience developing maintainable code using version control, testing and CI/CD. Strong analytical, problem-solving and communication skills. Desirable experience CUDA and GPU programming. Python and PyTorch. CNNs, Transformers or broader deep learning architectures. Synthetic training imagery and simulation environments. ISR imagery or defence-related machine vision. Commercial software development alongside academic or research experience. An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks.

Senior Product Data Scientist Contract Length: 12 Months Location: Hybrid - 3 days a week at Heathrow Airport IR35 Status: Inside About the Role We are looking for a Senior Product Data Scientist to help drive product innovation through data, experimentation and advanced analytics. You will work closely with Product Managers, Engineers and business stakeholders to identify opportunities, generate insights and build scalable data science solutions that improve customer and business outcomes. The successful candidate will combine strong analytical thinking with practical implementation skills and a passion for solving complex product and optimisation challenges. What You'll Do Partner with Product and Engineering teams to define success metrics and evaluate product performance. Conduct exploratory analysis to identify opportunities for growth and customer impact. Design and analyse experiments including A/B tests and observational studies. Build predictive models and analytical tools that support product decision-making. Develop decision science and optimisation solutions where appropriate. Create dashboards, reporting frameworks and self-service analytics capabilities. Present findings and recommendations to both technical and non-technical audiences. Collaborate with stakeholders to translate business problems into analytical solutions. Contribute to data science best practices and mentor junior team members. Preferred Experience 4+ years of experience in Data Science, Product Analytics, Decision Science, Applied Science or related fields. Experience using data to influence product or business decisions. Strong understanding of statistics, experimentation and machine learning. Experience delivering end-to-end analytical projects. Experience working in cross-functional product teams. Demonstrated ability to communicate complex findings clearly. Technical Skills Python and SQL Statistical analysis and experimentation Machine Learning Data Visualisation and Dashboarding Cloud-based analytics environments Data modelling and feature engineering Nice to Have Experience with optimisation, operations research or decision science. Experience with pricing, scheduling, forecasting or resource allocation problems. Familiarity with Gurobi, CPLEX, OR-Tools or similar optimisation tools. Experience in airlines, transportation, logistics, retail, marketplace or technology companies. MSc or PhD in Statistics, Mathematics, Economics, Operations Research, Computer Science or related field. Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.