Scientist jobs in BarnsleyCreate job alerts

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + | ✨ About us: At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. Our technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): • _ for all of our analytics usages, • and for our data modelling and warehousing, • PyData stack for model development and offline deployment, • Google Vertex AI platform for cloud computing, • _ for backend infrastructure, • Python for ML model microservices, • Go lang for most other microservices, • AI toolings for productivity (an evolving list), • Google suites including access to Gemini, • ChatGPT enterprise, • Claude code 🤩 You should apply if: • You are result oriented and motivated by the impact on our customers and business, • You enjoy a high degree of autonomy and thrive in a fast-paced environment, • You are keen to grow your knowledge in both business and technology 📌 You must have: • Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering, • In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc, • Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap, • Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry, • Great attention to details while keeping an eye on the big picture, • Excellent communication skills to articulate complex problems, • Capability to build mutual respect and trust with people of different background Nice to have: • Experience in UK/EU retail lending businesses for personal/business customers, • Experience of ML model governance in a regulated industry, • Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: • 30’ Recruiter Call, • 45’ Initial Call, • 60’ ML technical skill interview, • 60’ Behavioural interview All interviews will be conducted through Google Meet. Our average process takes around 3-4 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on _ What’s in it for you: 💰 £86,000 to £105,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits _ #LI-DC2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

SavvyMoney is a US based leading financial technology company. We provide integrated credit score and personal finance solutions to 1,600 + bank and credit union partners throughout the United States. The SavvyMoney solutions integrate with more than 43 digital banking platforms. SavvyMoney was recently recognized by the San Francisco Business Times and the Silicon Valley Journal as one of the "Top 25 Places to Work in the San Francisco Bay Area" and is an Inc. 5000 Fastest Growing Company. Our company is growing and we are looking for Independent Senior Data Engineer Contractors to help support the growth. **This Independent Contractor will work 100% Remotely from your home office in Warsaw, Poland as part of a distributed team in the USA, Canada, Europe and several locations in India. We are growing our team and looking for a Lead ML/AI Platform Engineer. As a Lead ML/AI Platform Engineer at SavvyMoney, you will own the platform that takes machine learning from experiment to production — training infrastructure, model serving, inference pipelines, and the integration seams with our Java microservices. You will set technical direction for AI/ML across the company alongside our Data Platform Architect, and drive the engineering side of our GenAI/LLM and agent strategy — from retrieval architectures and evaluation harnesses to the guardrails required to run agentic workflows responsibly in a regulated environment. Partner with our Data Platform Architect to set technical direction for AI/ML across the company — architecture, tooling, standards, and build-vs-buy decisions. Own the ML/AI platform: training infrastructure, model serving, inference pipelines, and production integration. Feature engineering, model training, model registry, and hosted inference in Amazon SageMaker GenAI/LLM usage, fine-tuning, and agentic workflows in Amazon Bedrock and AgentCore Feedback and data pipelines built on AWS Glue, Lambda, and Step Functions Own the serving layer and integrate ML services cleanly with our Java microservices — define the API contracts and make the latency and throughput trade-offs. Drive the engineering side of our GenAI/LLM strategy: retrieval architectures, evaluation harnesses, serving patterns, and the judgment calls about which approach fits which problem. Bring depth on the emerging agent stack — MCP, agent workflow patterns, stateless and stateful designs, and the guardrails needed to run them responsibly in a regulated environment. Partner with our Data Scientist on the handoff from experimentation to production: productionize models, stand up the feature pipelines and serving infrastructure they need, and shorten the loop between training and deployment. Work with product, data, and engineering leadership to identify the highest-impact ML opportunities and translate them into roadmaps. Represent the AI/ML function in cross-functional forums, communicating trade-offs clearly to technical and non-technical audiences alike. Required 8+ years in software or ML engineering, including 5+ years shipping production ML systems and a track record of owning ambiguous, high-scope problems end to end. Demonstrated technical leadership: you've shaped the ML strategy of a team or organization, mentored senior engineers, and been the person others rely on for difficult architectural calls. Hands-on experience with both operating models we use: AWS managed ML stack: Amazon SageMaker (training, tuning, hosted endpoints, model registry), Amazon Bedrock, and AgentCore for GenAI and agentic workflows. Open-source ML tooling: JupyterLab for notebooks, Spark for distributed processing, MLflow for experiment tracking and model registry. Deep working knowledge of the AWS stack — S3, Athena, Redshift, Glue, Step Functions, Lambda — plus SQL skills strong enough to model data for both analytical and ML workloads. Production experience with GenAI/LLMs: RAG, prompt engineering, evaluation, and a clear grasp of the cost, latency, and safety trade-offs involved. Familiarity with vector databases (e.g., pgvector, Pinecone) and sound judgment on when they're warranted versus alternatives such as NoSQL retrieval. Working knowledge of Java sufficient to review service code, define API contracts, and debug integration issues with our microservices. Deep expertise in Python and the core ML stack: scikit-learn, pandas, NumPy, PyTorch and/or TensorFlow, XGBoost / LightGBM. Solid MLOps fundamentals — model monitoring, drift detection, reproducibility, experiment tracking, model registry, and cost observability — plus the ability to partner with DevOps on CI/CD rather than build it from scratch. Excellent written and verbal communication — you can write both the design doc that aligns a dozen engineers and the one-pager that aligns the exec team. Strong collaborator, comfortable operating in a role where scope is shared: you'll partner with a Data Scientist on models and DevOps on infrastructure, and you can navigate those seams while keeping clear ownership. Ability to operate as an independent contractor through your own entity or an approved contracting arrangement, with reliable overlap with US Pacific business hours for architecture reviews and cross-team work. Nice to Have Experience with ClickHouse or a comparable columnar / real-time analytical database. Fine-tuning experience (LoRA / QLoRA, instruction tuning, or RLHF). Streaming and real-time inference experience (Kafka, Kinesis, low-latency serving). Infrastructure-as-code (Terraform, AWS CDK, CloudFormation). Experience operating ML systems at meaningful scale — hundreds of millions of predictions per day, or equivalent. Open-source contributions, conference talks, papers, or patents in ML / applied ML. Data Scientist — leads feature engineering, model training, fine-tuning, and experimentation. You'll partner on the research-to-production handoff, stand up the infrastructure they need, and jointly own the quality of what ships. DevOps — owns CI/CD, deployment infrastructure, and platform observability. You'll partner on ML-specific extensions (model artifacts, reproducible environments, canary and shadow deployments) rather than rebuilding what already exists. Backend engineers — own the Java microservices that consume ML outputs. You'll define the contracts and own the serving side. Product and engineering leadership — you're the technical voice on what we should build with AI/ML, and how. Distributed processing: AWS Glue Orchestration: AWS Lambda, AWS Step Functions Managed ML: Amazon SageMaker, Amazon Bedrock, AgentCore Open-source ML: JupyterLab, Spark, MLflow Storage & query: Amazon S3 (data lake), Amazon Athena, Amazon Redshift, ClickHouse Languages: Python (ML, pipelines), Java (microservices) Why This Role Matters Credit data is the core of what we do, and the opportunity to make it smarter — better offer targeting, better personalization, better insight for 1,600+ financial institutions and the consumers they serve — runs directly through the ML platform. Today that platform is early. You will be the person who defines what it becomes. Your decisions on architecture, tooling, and evaluation will set the ceiling on what every ML-driven feature at SavvyMoney can do for years. Join us at SavvyMoney and help build the AI foundation of a platform trusted by 1,600+ banks and credit unions. Additionally we provide Equity Compensation Package Flexible Time Off (FTO) - take time off as needed to rest and recharge. Medical, Dental, Vision – 100% premium paid for employee Disability/Life Insurance Opportunity for learning and career growth with a top Bay Area technology company Reimbursement for remote work setup Monthly stipend for phone and internet Team building events, culture activities, all hands events Paid time off to volunteer and serve the community Half day Fridays 401k matching contribution Beautiful California East Bay offices in Dublin, CA SavvyMoney’s EEO Statement SavvyMoney relies on diversity of culture and thought to deliver on our goal of Creative People, Practical solutions serving our client needs, and ensures nondiscrimination in all programs and activities. We continuously seek talented, qualified employees in our operations regardless of race, color, sex/gender, including gender identity and expression, sexual orientation, pregnancy, national origin, religion, disability, age, marital status, citizen status, protected veteran status, or any other protected classification under country or local law. SavvyMoney is proud to be an Equal Employment Opportunity/ Affirmative Action Employer. We are committed to protecting your data. To learn more, please review the_

Description Onera Health is a leader in transforming sleep medicine and remote monitoring. Our breakthrough diagnostic solutions and services are poised to help millions of people struggling with sleep-related ailments, while also impacting other medical fields by monitoring a variety of chronic conditions, ultimately improving the health and quality of life for patients around the world. The company’s innovative solutions provide comprehensive sleep test data to physicians in a variety of clinical and non-clinical environments to optimise patient care and reduce healthcare costs. Onera’s FDA-cleared and CE-marked home polysomnography (hPSG) platform delivers lab-quality diagnostics in the home through a fully integrated “PSG-as-a-Service” model. The UK is a priority market in Onera’s European expansion. In the UK, Onera goes to market through a clinical service provider partner rather than selling direct. The partner brings established NHS relationships and a top-down route into hospitals at executive level; Onera’s Clinical Sales Specialist works alongside them in the field — managing that partnership day to day and building demand from the bottom up at the clinical and departmental level, where sleep diagnostics credibility matters most. This is deliberately not a traditional, quota-closing field sales role. The close is driven through the partner’s executive-level motion. Your job is to create clinical pull — winning the confidence of sleep and respiratory teams, demonstrating the platform, and enabling the partner’s commercial engine — so that demand and adoption build underneath it. Success depends on clinical fluency and partner enablement far more than on personal deal-closing. Key Responsibilities Partner & Channel Management • Manage the relationship with Onera’s UK clinical service provider partner in the field, acting as the day-to-day point of contact and ensuring alignment between the partner’s commercial activity and Onera’s clinical priorities., • Enable and support the partner’s teams — equipping their representatives to position Onera accurately, and complementing their top-down, executive-level route into hospitals with clinical depth from the field., • Coordinate joint account planning with the partner, identifying target hospitals and sleep services and aligning on how each opportunity is progressed. Bottom-Up Clinical Demand Creation • Build demand from the clinical level up — winning the confidence of sleep physicians, respiratory teams, neurophysiology units, and sleep-laboratory staff so that clinical pull supports the partner’s top-down approach., • Engage credibly at peer level with consultants on sleep disorders — obstructive sleep apnoea, central sleep apnoea, narcolepsy, RLS/PLMD, and parasomnias — and on the wider diagnostic pathway (respiratory polygraphy, HSAT, CPAP titration, actigraphy, MSLT/MWT)., • Demonstrate and train clinical staff on the Onera platform unaided, drawing on hands-on familiarity with full diagnostic polysomnography — multi-channel attended studies including EEG, EOG, EMG, ECG, airflow, respiratory effort, SpO₂, and body position — and an understanding of manual sleep staging and event scoring to AASM guidelines, not just auto-scoring., • Build visibility with UK sleep-medicine KOLs and engage with national bodies such as the British Sleep Society and the ARTP. Territory Coverage & Field Execution • Cover the United Kingdom as Onera’s sole field-based representative, prioritising across regions, qualifying hard, and concentrating effort where clinical adoption can build rather than spreading too thin., • Maintain disciplined CRM hygiene and pipeline visibility, self-managing a national field role and giving Onera and the partner a clear, current picture of clinical engagement and opportunity., • Act as the clinical and commercial point of contact in the field, troubleshooting product-related questions and escalating to the appropriate internal stakeholders where needed. Market Intelligence & Collaboration • Track market trends, competitor activity, and customer feedback to inform product positioning and the UK partner strategy., • Collaborate with cross-functional teams across marketing, product, customer success, and clinical to align field activity with the wider commercial plan. Requirements • Clinical sleep background. Formal clinical background in sleep or respiratory diagnostics — e.g. registered sleep/respiratory physiologist, clinical scientist (Healthcare Science), or RPSGT — with the ability to demonstrate and train clinical staff unaided. Strongly preferred; exceptional candidates with deep, hands-on sleep/respiratory diagnostic exposure and genuine peer-level clinical credibility will also be considered., • Clinical credibility in the field. Able to hold peer-level conversations with consultants and clinical teams and to build confidence and adoption at the departmental level., • Commercial or clinical-specialist experience. A track record in a clinical sales specialist, clinical application, or field clinical role in medical devices or diagnostics — or a clinical background combined with clear commercial instinct., • Self-managing field discipline. Comfortable self-managing a national field role with sound CRM and pipeline discipline., • National coverage & travel. Willingness to travel extensively across the UK, with the autonomy to prioritise across regions., • Fluent English and excellent communication and interpersonal skills, with the ability to build trust-based relationships with clinical stakeholders and partner teams. Benefits • Remote / hybrid working model, with the technical equipment to set up your home office, • A competitive compensation package, • An open, collaborative company culture grounded in shared mission and team engagement, • The opportunity to join a scale-up at a defining commercial moment in sleep diagnostics

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and b

Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn). Verify solutions using Python with standard data science libraries and statistical methods. You are proficient in python programming for data science (pandas, numpy, scipy,

Advanced proficiency in Python and/or R for data science development.

You're excited about fast-moving developments in Machine Learning and can communicate those ideas to colleagues who are not familiar with the domain. You’re adaptable, curious and enjoy learning new technologies and ideas. This role sits as part of a multidisciplinary squad, collaborating with oth

You are proficient in SQL and database operations for data manipulation and analysis. Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations). Develop problems requiring non-trivial reasoni

Remote, UK (1 day per fortnight in London or Manchester). Our clients are looking for Data Scientists to join their team. Work closely with the Chief Data Scientist to align technical strategy, receive mentorship, and ensure rigorous quality assurance across all project deliverables.

Barnsley Hospital is seeking an Assistive Technology Clinical Specialist (OT or Clinical Scientist) to deliver regional assessments and recommendations for environmental controls and communication aids across Yorkshire and Humber.

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 £1499, or 13 interest free monthly instalments of £130, 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

As Senior Bioinformatics Scientist, you will be responsible for managing a team of Bioinformaticians working directly with RNA sequencing, proteomics data and whole genome sequencing.

You will be supported by experienced soil scientists and environmental professionals who will help you develop your technical knowledge and professional skills.

About the role:Are you passionate about advancing product quality, patient safety, and innovation in healthcare manufacturing? As a Senior Sterilization Validation Scientist, you will play a critical role in shaping sterilization and sterility assurance strategies across multiple manufacturing sites

Parexel is looking for a Senior Associate Bioinformatics Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:United KingdomGermanyFranceSpainRomaniaSerbiaLithuaniaPolandThe Senior Associat

As a Clinical Scientist, you will serve as a trusted scientific partner to sponsors, investigative sites, and internal stakeholders, ensuring the successful delivery of scientific services across global clinical trials. At least 3 years of experience in a Clinical Scientist, Clinical Trial Science L

Parexel is looking for a Bioinformatics Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:United KingdomFranceSpainRomaniaSerbiaLithuaniaPolandThe Bioinformatics Scientist role will fulf

The Senior PV Safety Scientist is expected to be professional and diligent and liaises with the director and management group members within the team on any issues, as well as coordinate the work performed by PV Scientists. The Senior Pharmacovigilance (PV) Scientist supports the activities in the B

Principal Materials ScientistTrelleborg is a world leader in engineered polymer solutions for almost every industry on the planet. Why dont you join us? Plats GBR - Rotherham Arbetsplats On-site Sista ansökningsdag 2026-09-10 Plats: GBR - Rotherham Are you an experienced mate

Senior Biomedical Scientist or Specialist Biomedical Scientist background. Job ID: 31154764Company: Abbott LaboratoriesLocation: United Kingdom - RemoteJob Type: Full timeCategory: Customer & Technical SupportIndustry: HealthcarePosted Date: 2026-08-28Take Your Biomedical Science Career Beyond the L

About the roleAs a Senior Data Scientist at Coalition you will be responsible for measuring, understanding, and helping optimize Coalition’s underwriting. Work alongside other data scientists, software engineers, and cyber security engineers to improve underwriting at Coalition.

Premier Research is looking for a Statistical Scientist Director to join our Biostatistics team.

Parexel is looking for a Senior Associate Biomarker Data Scientist to work with one of our large sponsors. The role is remote based but you must live and have the right to work in one of the following EMEA countries only:United KingdomFranceSpainRomaniaSerbiaLithuaniaPolandThe Senior Associate Bioma

Harnham in London (Remote) is seeking a Senior Machine Learning Scientist to lead end-to-end ML experiments and deliver production-ready AI solutions.

Amazon is seeking a Data Scientist to help build industry-leading language technology powering Rufus, our AI-driven search and shopping assistant. You will work with vast data to improve conversational AI performance at scale, collaborating with scientists and engineers to push the boundaries of NLP

As a Principal Data Scientist at Faculty, you will drive high impact transformation within our Defence team by taking ownership of complex machine learning delivery and sector specific strategy. Balancing deep business knowledge with advanced analytical skill, you will shape cutting edge AI solution

Relation in London is seeking a Senior Data Scientist to build generative and predictive models of cellular behaviour from single-cell multiomics data.

Lead Data Scientist – Financial Crime. We are currently looking for a Lead Data Scientist to join a growing, specialist consultancy within the financial services space. As a Lead Data Scientist, you will work closely with senior stakeholders to deliver data-led solutions focused on risk, fraud, an

We are looking for a highly capable and innovative Data Scientist with experience in Generative AI to join our Data Science Team.

Sedona Digital Ltd is seeking a Lead Data Scientist to lead enterprise‑scale AI, ML and analytics solutions.

ARQ seeks a Senior Data Scientist to build the intelligence layer behind our financial products.

United Kingdom is seeking a Senior Data Scientist to lead Forecasting data, modelling, and tech foundations for Marketing Mix Modelling and media effectiveness.

EXL is seeking a Data Scientist in London to lead GenAI initiatives, building LLM-based applications, prompts, fine-tuning and retrieval augmented generation for enterprise use cases.