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Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Lead Data Scientist (Model Developer) / Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to derive insights from complex data, working in close collaboration with our business partners. This role will focus on leading the development of proprietary deep learning models in order to enhance our existing underwriting capabilities. By utilizing a mix of new and existing data, you will identify ways to improve predictive power and generate high-impact customer insights. What you’ll do Lead the development of next generation deep learning approaches to advance our current underwriting models, to ensure that our core lending capabilities remain at the forefront of the industry. Unlock the value in non-traditional datasets by building sophisticated neural networks (e.g. LSTMs, RNNs, or Transformers). You will find novel ways to transform raw, multi-modal inputs into powerful predictive features. Collaborate with business stakeholders to prioritize initiatives. You will bridge the gap between ambitious R&D and tangible in-market results, driving ideas from initial prototypes through to production. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions. Work cross-functionally on projects that support key business initiatives and drive sustainable growth. What we’re looking for Strong experience developing and deploying deep learning models, particularly for sequential data (e.g. time series or language models). A proven track record leading model development, including setting the technical direction, project management, stakeholder comms, and mentoring junior members of the team. Experience producing and managing reliable and maintainable code in SQL/Python in a team setting, including code reviews and setting software engineering best practices Hands-on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Experience working with structured and unstructured data, such as text, logs, or time series and tokenisation techniques. A strong understanding of probability, statistics, machine learning and familiarity with large data set manipulation. A drive for continued learning through an internal and external focus, and an ability to prototype new techniques to assess value Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Data Scientist / Statistician (Model Developer) About this role Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our business partners. This role will primarily focus on feature engineering and insight generation from new types of data and the development of machine learning models to address critical business challenges in underwriting. We are interested in candidates who have experience working with Open Banking or Credit Bureau data. A deep grounding in statistics and experience of Model Risk Management is also welcomed. What you’ll do Develop and maintain the machine learning models which define our competitive advantage in the financial services market. Explore and evaluate data, using advanced feature generation and categorisation techniques, in order to stay at the forefront of innovation. Analyse tabular and non-tabular data, such as text, logs, or time series, to produce powerful new insights. Consult on complex statistical test design, to efficiently learn our way into new areas of the market. Use a combination of business acumen, coding and statistical skills to navigate large amounts of data and extract actionable solutions, working cross-functionally to support key business initiatives and drive sustainable growth. What we’re looking for A strong understanding of probability, statistics, machine learning, feature extraction and familiarity with large data set manipulation. Experience using deep learning models, particularly for sequential data. Familiarity with Open Banking or Credit Bureau data. Experience working with multi-modal data; in multiple formats from a variety of different sources. Experience in producing reliable and maintainable code in Python, with an ability to adapt to new languages and technologies. Experience of Model Risk Management; technical documentation, coding best practices, the importance of validation and ongoing monitoring. Natural curiosity and proactive engagement with all areas of the business, with a desire to ask questions, challenge the status-quo and identify where Data Science can add value. Ability to communicate findings to a diverse business focused audience, influencing others in both verbal and written form. A drive for continued learning through an internal and external focus, in order to develop enterprise and industry leading solutions. We are committed to creating a level playing field and seek to create teams that are representative of our customers and the communities we serve. We’d love to hear from you if you identify with a typically under-represented group in our industry and are particularly keen to hear from women, the LGBTQ+ community and ethnic minority candidates. Where and how you'll work This is a permanent position based in our Nottingham office. We have a hybrid working model, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays, and can work from home on Monday and Friday. Many of our associates have flexible working arrangements, and we're open to talking about an arrangement that works for you. What’s in it for you Bring us all this - and you’ll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Skin Bioassay Senior Scientist Nottingham | On-site We are seeking a Skin Bioassay Senior Scientist to join a growing CRO environment developing advanced in vitro skin models and bioassays for both pharmaceutical and cosmetic applications. This role is part of a strategic expansion of in-house skin capabilities, supporting both ongoing projects and the development of new model systems. You will play a key role in generating high-quality datasets, developing human-relevant skin models, and delivering impactful assay results for clients. Working within a collaborative, fast-paced laboratory environment, you will contribute to the development of next-generation skin models, including reconstructed and full-thickness systems, while supporting a broad range of client-driven and internal projects. Responsibilities: Skin Model Development • Develop and optimise in vitro skin models, including:, • Reconstructed Human Epidermis (RHE) models, • Full-thickness or full-skin equivalent systems, • Contribute to the evolution of increasingly complex, physiologically relevant models Assay Development & Delivery • Design and execute cosmetic and skin-related bioassays, including:, • Cell proliferation and viability assays, • Cytokine release and inflammatory markers, • Barrier function and sensitivity assessments, • Analyse and interpret experimental data, ensuring generation of robust, client-ready datasets Molecular & Analytical Techniques • Apply a range of techniques including:, • ELISA and immunoassays, • qPCR and molecular biology workflows, • Plate-based assay readouts, • Use imaging and histology-based approaches to assess skin structure and function Applied Skin Science & Testing • Evaluate cosmetic formulations and active compounds, • Investigate:, • Ageing processes and protective effects, • UV response (using in-house UV systems), • Key skin proteins such as keratin and structural markers Project Delivery & Lab Operations • Deliver experimental work in line with project timelines and client expectations, • Prepare SOPs, reports, and technical documentation, • Troubleshoot experiments and contribute to continuous improvement initiatives, • Support a collaborative CRO environment including potential client interaction About You You are a hands-on scientist with experience in skin biology and in vitro model systems, comfortable working in a fast-paced, applied research or CRO environment. You’ll bring: • Experience working with in vitro skin models (essential), • Experience developing RHE (Reconstructed Human Epidermis) models, • Strong laboratory experience across cell-based assays and bioassays, • Knowledge of ELISA, immunoassays, qPCR, and cell culture techniques, • A practical, delivery-focused mindset with strong attention to detail Highly desirable: • Exposure to full-skin equivalent or 3D skin models, • Experience in cosmetic testing, skin ageing, or UV response studies, • Background in CROs or applied commercial research PhD candidates or those with 2–3 years of relevant industry experience are both encouraged to apply. This is a great opportunity to join a growing organisation at a key stage, where you will not only deliver projects but also help shape the future direction of skin model development within the business. Apply now by attaching your CV in Word, or contact Paige Keenan for further information about this new role: paige.keenan@srgtalent.com

Ophthalmology Bioassay Senior Scientist Nottingham | On-site We are seeking an Ophthalmology Bioassay Senior Scientist to join a growing, innovative CRO environment focused on developing next-generation human-relevant disease models. This role sits at the forefront of moving drug discovery away from traditional animal models, with a strong emphasis on advanced in vitro systems, including iPSC-derived models and 3D organoids for ocular diseases. You will play a key role in building and developing capability in ophthalmology, contributing to both project delivery and the longer-term growth of this area of the business. This is an excellent opportunity for someone who enjoys combining hands-on lab work, scientific innovation, and commercial impact. Responsibilities: Ocular Model Development • Develop and optimise human-relevant ocular disease models, • Design and implement iPSC-derived systems, including retinal and epithelial models, • Contribute to the development of complex 3D organoid and co-culture systems Assay Development & Delivery • Design and execute bioassays relevant to ocular disease, including:, • Imaging and fluorescence-based assays, • Immunoassays, • Functional and translational assays, • Analyse and interpret experimental data and present findings clearly to stakeholders Molecular & Cell Biology • Apply molecular biology techniques including:, • Gene knockdown approaches (e.g. siRNA, shRNA), • Work with primary cells, cell lines, and stem-cell derived models, • Support development of increasingly complex and physiologically relevant systems Project Delivery & Growth • Support delivery of CRO projects across drug discovery programmes, • Troubleshoot experimental challenges and drive continuous improvement, • Contribute to building and scaling ophthalmology capability, including future team growth, • Engage with clients and support scientific discussions where required About You You are a scientist with strong hands-on experience in advanced cellular models, particularly within ophthalmology or closely related disease areas. You’ll bring: • Experience working with iPSC-derived systems and/or 3D organoid models (critical), • Strong laboratory experience across bioassays, imaging, and molecular biology techniques, • Experience working with ocular models or strong transferable cell biology experience, • A proactive, problem-solving mindset with the ability to work independently Desirable (but not essential): • PhD in Ophthalmology, Cell Biology, Stem Cell Biology, or a related discipline, • Experience in a CRO or fast-paced applied research environment, • Exposure to replacing or reducing animal models with human-relevant systems, • Interest in helping build or grow a new scientific capability or team If you’re excited by organoids, stem cell models, and reducing reliance on animal testing, this role will give you the platform to make a real impact. Apply now by attaching your CV in Word, or contact Paige Keenan for further information about this new role: paige.keenan@srgtalent.com

Hands‑on experience with modern Machine/Deep Learning frameworks such as PyTorch, TensorFlow, or Hugging Face Transformers, including training deep learning models on GPUs or GPU clusters. Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve bu

Prolific Academic Ltd is seeking Data Scientists and Data Analysts to join their Expert Network in Nottingham, UK.This position requires a strong background in data analysis and machine learning, with the ability to evaluate AI models.Candidates can earn up to $80 per hour while working remotely on

Gofractional is looking for a Data Scientist with over 3 years of experience to work on AI-driven algorithms aimed at predicting wind turbine failures.

White Collar Factory (95009), United Kingdom, London, LondonLead Data Scientist / Deep Learning PractitionerAbout this roleOur Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. Experience

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. Capital One is committed to diversity in the workplace. For technical

This role will primarily focus on feature engineering and insight generation from new types of data, and on developing machine learning models to address critical business challenges in underwriting. Strong understanding of probability, statistics, machine learning, and feature extraction, plus fami

This includes high-frequency vibration data, SCADA data, and recorded turbine failure data. You will work with a cross-functional team of Data Scientists, ML Engineers, Software Developers and domain experts, applying advanced analytics and machine-learning techniques to large, real-world datasets.

Strong expertise in probability, statistics, and experience with Open Banking or Credit Bureau data is essential.

Oscar is looking for a mid-level Data Scientist to join their team in Nottingham. The ideal candidate will have at least 3 years of experience in data science, with strong proficiency in Python and a solid understanding of machine learning.

A leading financial services company is looking for a Lead Data Scientist to focus on developing advanced deep learning models to enhance underwriting capabilities. This role requires substantial experience in model development, collaboration with business stakeholders, and proficiency in modern mac

A growing, data-driven organisation is looking for a mid-level Data Scientist to help unlock the value of its data. Comfortable working with structured data and SQL. Designing and building data science solutions using Python.

ONYX Insight is looking for an experienced Data Scientist to join our Advanced Analytics team on a 6‑month contract, supporting the development of AI‑powered solutions for condition monitoring and predictive maintenance of wind‑turbine assets.You will work with a cross‑functional team of Dat

Capital One (Europe) plc is seeking a Data Scientist to develop and maintain machine learning models that drive competitive advantage in financial services.The successful candidate will have a strong background in statistics and machine learning, capable of generating insights from both tabular and

Experience working with structured data and SQL. We are seeking a mid-level Data Scientist with strong experience in Python for a new role in Nottingham. You will be part of a small, but close team that covers Data Science, Business Intelligence and Analytics.

Our Data Science team focuses on the development of machine learning and AI solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative and enthusiastic group, who use our expertise to make sense of complex data, working in close collaboration with our bus

Capital One (Europe) plc in Nottingham is hiring a Data Scientist to develop machine learning models and generate actionable insights using complex data.The role requires strong skills in statistics, machine learning, and Python.The position offers a hybrid work model, benefits including a pension s

A growing, data-driven organisation is looking for a mid-level Data Scientist to help unlock the value of its data.This is a hands-on role where you’ll work on a mix of analytics and machine learning projects, partnering with different teams to turn complex datasets into clear, actionable insights

Data Scientist | Outside IR35 | 6 Months | £400 - £450 | You’ll be joining a multidisciplinary team made up of data scientists, ML engineers, software developers, and subject-matter experts, working together to solve complex problems using advanced analytics. The focus is on applying machine learning techniques to large-scale, real-world datasets — including high-frequency vibration signals, SCADA data, and historical turbine failure records. This is a very hands-on role, centred around building, testing, and implementing models that deliver meaningful, practical insights for wind farm operators. What you’ll be doing: Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines Using a combination of signal processing, ML, and reliability-focused approaches on operational data Developing probabilistic models to assess component health and predict remaining useful life Turning complex outputs into clear, usable insights for engineering and operational teams Working closely with data and engineering teams to help move models into live environments Supporting validation, testing, and responsible use of AI solutions What we’re looking for: Around 3+ years’ experience in a data science or similar role Strong Python skills, particularly with libraries like NumPy, pandas, and SciPy Experience with ML frameworks such as scikit-learn, TensorFlow, or PyTorch A track record of working with messy, real-world datasets (ideally in industrial settings) Comfortable operating in fast-paced environments with some ambiguity Able to communicate technical findings clearly to non-technical audiences Experience in areas like wind energy, rotating equipment, predictive maintenance, or reliability engineering would be a big advantage — but it’s not essential. If this is a role that suits your skill set and available immediately then please apply for the job advert directly or reach out to me with your CV to (url removed). Data Scientist | Outside IR35 | 6 Months | £400 - £450

Data Scientist: AI & Advanced Analytics Contract Outside IR35 You will collaborate with data scientists, data engineers, software developers and domain experts to design, implement, and validate AI‑powered methods and intelligent software solutions for condition monitoring and predictive maintenance of wind‑turbine assets. You will be working with an industry leading historic dataset to apply signal processing techniques, reliability engineering principles, machine learning models and emerging generative‑AI methods to extract actionable insights for wind turbine owners and operators. The role will include working with high‑frequency vibration data, SCADA data, and large collections of recorded failures in a cross-functional team. Key ResponsibilitiesSignal Processing & Data Analysis Develop and optimise AI‑driven algorithms that detect, diagnose, and prognose wind‑turbine failure modes from high‑frequency sensor data across multiple data sources. Collaborate with domain experts to create new AI‑augmented analytical methods that improve workflow efficiency, automation, and service quality.Reliability Engineering & Maintenance Build AI‑enhanced probabilistic models to estimate remaining useful life (RUL) and component failure probabilities. Design intelligent dashboards and automated alerts that translate model outputs into clear, actionable recommendations for Condition Monitoring Engineers, operators, asset managers, and field technicians.Software Engineering Build AI enabled software bits and pieces…Machine Learning & Generative AI Create and iterate on supervised, unsupervised, and other AI models to identify degradation patterns and predict failure trajectories. Leverage generative‑AI techniques (including LLMs, RAG pipelines, and agentic workflows) to construct intelligent knowledge systems that support and accelerate wind farm operator decision‑Collaboration & Delivery Work closely with engineering teams and customers to co‑create and test new solutions, demonstrating tangible value for end users. Establish AI model‑governance and responsible‑AI processes, including rigorous validation (cross‑validation, out‑of‑sample testing, bias audits) Work with Data Engineers to deploy models to production via robust MLOps pipelines with automated monitoring for model drift and performance, including running field trials on live turbine fleets.Desired Experience 3 + years of data‑science experience in a relevant industry. Demonstrated experience with Python and cloud services (preferably AWS and/or Databricks). Working knowledge of S3, PostgreSQL, and database design principles. Track record of delivering end‑to‑end AI and analytics systems that generate measurable business value. Solid grasp of data‑science best practices, including reproducible pipelines, experiment tracking, version control, and CI/CD for ML models. Experience thriving in a fast‑paced analytics development environment and handling ambiguous problems with an abstract, solution‑oriented mindset

Ophthalmology Bioassay Senior Scientist Nottingham | On-site We are seeking an Ophthalmology Bioassay Senior Scientist to join a growing, innovative CRO environment focused on developing next-generation human-relevant disease models. This role sits at the forefront of moving drug discovery away from traditional animal models, with a strong emphasis on advanced in vitro systems, including iPSC-derived models and 3D organoids for ocular diseases. You will play a key role in building and developing capability in ophthalmology, contributing to both project delivery and the longer-term growth of this area of the business. This is an excellent opportunity for someone who enjoys combining hands-on lab work, scientific innovation, and commercial impact. Responsibilities: Ocular Model Development Develop and optimise human-relevant ocular disease models Design and implement iPSC-derived systems, including retinal and epithelial models Contribute to the development of complex 3D organoid and co-culture systemsAssay Development & Delivery Design and execute bioassays relevant to ocular disease, including: Imaging and fluorescence-based assays Immunoassays Functional and translational assays Analyse and interpret experimental data and present findings clearly to stakeholdersMolecular & Cell Biology Apply molecular biology techniques including: Gene knockdown approaches (e.g. siRNA, shRNA) Work with primary cells, cell lines, and stem-cell derived models Support development of increasingly complex and physiologically relevant systemsProject Delivery & Growth Support delivery of CRO projects across drug discovery programmes Troubleshoot experimental challenges and drive continuous improvement Contribute to building and scaling ophthalmology capability, including future team growth Engage with clients and support scientific discussions where required About You You are a scientist with strong hands-on experience in advanced cellular models, particularly within ophthalmology or closely related disease areas. You'll bring: Experience working with iPSC-derived systems and/or 3D organoid models (critical) Strong laboratory experience across bioassays, imaging, and molecular biology techniques Experience working with ocular models or strong transferable cell biology experience A proactive, problem-solving mindset with the ability to work independentlyDesirable (but not essential): PhD in Ophthalmology, Cell Biology, Stem Cell Biology, or a related discipline Experience in a CRO or fast-paced applied research environment Exposure to replacing or reducing animal models with human-relevant systems Interest in helping build or grow a new scientific capability or team If you're excited by organoids, stem cell models, and reducing reliance on animal testing, this role will give you the platform to make a real impact. Apply now by attaching your CV in Word, or contact Paige Keenan for further information about this new role: Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

Skin Bioassay Senior Scientist Nottingham | On-site We are seeking a Skin Bioassay Senior Scientist to join a growing CRO environment developing advanced in vitro skin models and bioassays for both pharmaceutical and cosmetic applications. This role is part of a strategic expansion of in-house skin capabilities, supporting both ongoing projects and the development of new model systems. You will play a key role in generating high-quality datasets, developing human-relevant skin models, and delivering impactful assay results for clients. Working within a collaborative, fast-paced laboratory environment, you will contribute to the development of next-generation skin models, including reconstructed and full-thickness systems, while supporting a broad range of client-driven and internal projects. Responsibilities: Skin Model Development Develop and optimise in vitro skin models, including: Reconstructed Human Epidermis (RHE) models Full-thickness or full-skin equivalent systems Contribute to the evolution of increasingly complex, physiologically relevant modelsAssay Development & Delivery Design and execute cosmetic and skin-related bioassays, including: Cell proliferation and viability assays Cytokine release and inflammatory markers Barrier function and sensitivity assessments Analyse and interpret experimental data, ensuring generation of robust, client-ready datasetsMolecular & Analytical Techniques Apply a range of techniques including: ELISA and immunoassays qPCR and molecular biology workflows Plate-based assay readouts Use imaging and histology-based approaches to assess skin structure and functionApplied Skin Science & Testing Evaluate cosmetic formulations and active compounds Investigate: Ageing processes and protective effects UV response (using in-house UV systems) Key skin proteins such as keratin and structural markersProject Delivery & Lab Operations Deliver experimental work in line with project timelines and client expectations Prepare SOPs, reports, and technical documentation Troubleshoot experiments and contribute to continuous improvement initiatives Support a collaborative CRO environment including potential client interaction About You You are a hands-on scientist with experience in skin biology and in vitro model systems, comfortable working in a fast-paced, applied research or CRO environment. You'll bring: Experience working with in vitro skin models (essential) Experience developing RHE (Reconstructed Human Epidermis) models Strong laboratory experience across cell-based assays and bioassays Knowledge of ELISA, immunoassays, qPCR, and cell culture techniques A practical, delivery-focused mindset with strong attention to detailHighly desirable: Exposure to full-skin equivalent or 3D skin models Experience in cosmetic testing, skin ageing, or UV response studies Background in CROs or applied commercial researchPhD candidates or those with 2-3 years of relevant industry experience are both encouraged to apply. This is a great opportunity to join a growing organisation at a key stage, where you will not only deliver projects but also help shape the future direction of skin model development within the business. Apply now by attaching your CV in Word, or contact Paige Keenan for further information about this new role: Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy

Data Scientist – Data Science Analytics and Enablement (DSAE). Solve common challenges faced by Data Scientists, such as model reproducibility, deployment portability, and environment standardization. Support knowledge sharing and mentorship across data Scientists teams, promoting a best- practice

A leading recruitment agency in analytics is seeking a Capacity Planning Data Scientist in Middlesex. This role involves designing machine learning models, utilizing large datasets, and applying simulation techniques to support planning decisions. Ideal candidates will have a Master’s in a quantit

A global investment firm is seeking a Data Scientist to work on high-impact AI projects.

IBM Consulting in the United Kingdom is looking for a skilled data scientist to lead the design and deployment of advanced AI solutions. Candidates should have a Bachelor's degree and proven experience in delivering data-driven solutions.

Lubrizol Corporation is looking for a Data Scientist/Statistician Intern (PhD Level) to join their team in the East Midlands, UK. As part of the Data Science & Statistics team, you will work on analytics systems for product development, engaging in projects like predictive modeling and implementing

As a Data Scientist, you’ll play a key role in turning data into insight—building machine learning models and analytical solutions that help us make better, more informed decisions across the business. You’ll work across the full data science journey, from exploring and experimenting with rich

A leading recruitment firm is seeking a skilled Data Scientist / Machine Learning Engineer for a remote opportunity focused on generative AI projects. The ideal candidate should possess active SC clearance and proven Python expertise, with experience in data preparation for large language models. Th

Data Scientist/Statistician Intern (PhD Level). Enrolled in a PhD program such as statistics, data science, machine learning, or in chemistry/chemical engineering with data science skills. Able to efficiently manipulate, process, and analyse data of various modalities, including numerical, image, te

A recruitment agency is seeking an experienced Data Scientist to design and deliver scalable data science and machine learning solutions in London.

We are a new, but growing team of AI specialists — data scientists, software engineers, and technology strategists — working to transform how an alternative investment firm with $65B in assets under management leverages technology and data. As a Data Scientist on the AI team at Cerberus, you��

A leading data science firm in the United Kingdom seeks a skilled Data Scientist to analyze complex datasets and develop innovative solutions. Experience with Databricks, along with proficiency in Python and R, is essential for success in this role, which offers opportunities for mentoring and colla

Deep understanding of data preparation for large language models, including prompt engineering, embeddings and vector databases, RAG dataset design, and evaluation methods such as retrieval scoring, LLM‑as‑a‑judge, and hallucination detection. The ideal candidate will have experience preparing

As a Senior Data Scientist at Konfir, you will lead efforts to analyse and interpret large datasets, extracting meaningful insights that drive strategic decision-making for our clients. Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Proven experi

Responsibilities include designing predictive models, performing data analysis, and collaborating closely with data teams. A technology consulting firm is seeking a Data Scientist for a 12-month contract based in Heathrow with hybrid working. The role involves developing advanced models and analytic

Derby County are seeking to recruit a Data Scientist to join the Sporting Intelligence Department in a hybrid role, based at Moor Farm Training Centre. Data Scientist | Derby County (Jobs in Sports Performance Analysis TheASPA). Experience with Palantir Foundry or similar data platforms.

We are working with a leading UK retailer and eCommerce company.The role focuses on marketing campaigns, recommendation systems and customer segmentation.You will be a technical lead within the business and work closely with teams to drive measurable impact through various models.Strong experience i

O Associates is seeking an experienced Data Scientist (Machine Learning) to build and deploy ML models that provide real-world impact. The ideal candidate has over 5 years of experience in Data Science and a strong command of Python or R. You'll collaborate closely with engineers and stakeholders to

A leading gaming operator in the United Kingdom is seeking a Data Scientist to contribute to data science projects that support commercial initiatives. This full-time position offers a chance to work on large data sets and collaborate with marketing and retention teams to deliver innovative solution

A leading AI hospitality platform is seeking a Data Scientist to join their team in Camden.

Spait Infotech in the United Kingdom is seeking a data analyst who will be responsible for collecting, cleaning, and analyzing data, and assist in developing machine learning models. The successful candidate should have familiarity with Python, SQL, R, and data visualization tools such as Power BI o

As a Data Scientist, you will work closely with data experts in the business to analyze complex datasets, develop innovative data-driven solutions, and provide valuable insights to drive business growth. Proven experience as a Data Scientist, with a strong track record of delivering impactful data-d

Data Wrangling and Database Management: Skills in data cleaning, transformation, and database handling. Data Scientist: Business Intelligence & Analytics. Proficiency in data lineage techniques to track data origin, movement & transformation across systems.