Junior data scientist jobs in United Kingdom

Data Scientist Placement Programme - No Experience Required\n\nOur training will help you kick-start a new career as a Data Scientist.\n\nWe 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.\n\nWhether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you.\n\nThe traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months:\n\nStep 1 - Full Data Science Career Training\n\nYou 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.\n\nThis step will fully prepare you for the professional projects that you will undertake in step 4 of this process.\n\nAt 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.\n\nStep 2 - CompTIA Data+\n\nCompTIA 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.\n\nStep 3 - Official Exam\n\nThe 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.\n\nStep 4 - Practical Projects\n\nNow 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.\n\nWhilst 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.\n\nYour Data Science Role\n\nOnce 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.\n\nAt 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.\n\nRead through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch.\n\n‘Please note that this is a training course and fees apply

Please note this is a training programme and fees apply*\nAre you looking to benefit from a new career in Programming?\nSkills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers.\nWe help place graduates from this programme in top UK companies and organisations needing to employ entry-level Programming staff that can hit the ground running with up-to-date skills gained from this programme.\nThe best part is you will not need any previous experience as fully accredited training, which includes tutor support and mentoring, provides you with the skills, practical knowledge and qualifications for you to secure a professional job and career in coding. You will also have the reassurance of a job guarantee (£25K-£40K) upon completion.\nWhether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks or a few months (step 1 to 4 below). Your job and career goals are completed in 4 easy steps.\nStep 1 -HTML and CSS Online Training (*12 weeks)\nThe first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey.\n * \n HTML Essentials (6 weeks)\n * \n CSS Essentials (6 weeks)\nThe training is delivered via multimedia rich video tutorials, presentations and quizzes through a portal that you study online from anywhere you choose. You will also be assigned an expert tutor and a support mentor to help you throughout your training.\nOnce the HTML & CSS courses are complete, you will be ready to move forward.\nStep 2 -Online Training (*12 weeks)\nThe second step includes a selection of more advanced courses to get you up to speed.\n * \n Learn the Command Line (1.5 weeks)\n * \n Learn Git & GitHub (1.5 weeks)\n * \n Learn JavaScript (1.5 weeks)\n * \n Learn Python 3 (1.5 weeks)\nJavaScript forms the foundation of almost everything you see on the Internet, so it will be essential! Python is highly versatile. You can use it for both small and complex tasks, and it is used across many different industries.\nStep 3 - Build a Portfolio Website Project (1 week)\nAdditional Courses\n * \n AWS Certified Cloud Practitioner\n * \n Microsoft Certified: Azure Administrator Associate\nStep 4 - Junior Programmer placement (£25K - £40k)\nWe work with you to secure your first role as a Junior Programmer, with a starting salary of anywhere between £25K - £40k. While working as a Junior Programmer, we will release your second batch of training which is specifically designed to qualify you to move into the programming field.\nProgrammer Role\nOnce you have completed all the mandatory training in step four and have gained two plus years experience in the coding industry, you will be ready to move into higher paying programming roles. Our recruitment support team specialises in the Web and programming space and roles at this level have an average starting salary of £45K.\nWe have been helping career changers and new career seekers gain new careers since 2009 and we are a CompTIA Gold Partner, accredited by the BCS (Chartered Institute of IT/ British Computer Society) to ensure we provide the highest levels of training.\nIn addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity.\nJob Guarantee\nDue to the success of this programme and the skills shortage of entry-level coding staff, we can guarantee you will secure a job upon completion of your study programme or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business.\nPassionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch.\nKeywords: Website, Web Developer, Business Development, Website, Web Design, Front End, Back End, Full Stack, Computer Programmer, Computer Systems Engineer, Systems Analyst, Programmer Analyst, Database Administrator, Front-end Developer, Mobile App Developer, Software Developer, Data Scientist, Cloud Engineer

Senior Scientist/Manager - RWE/Epidemiology Remote based (UK) A rare opportunity to join a mid-sized, highly scientific, international healthcare consultancy providing a range of innovative services to biopharma industry clients and other health bodies/initiatives such as health equity and inequality focused projects. Combining both traditional and novel analytical approaches with diverse real-world data, including genomic, medical record, claims and patient-reported information, has allowed my client to inform Life Sciences/Pharma company internal decision making as well as submissions and presentations to regulators; health technology assessment authorities and payers; the medical community; and, patient organizations. The Epidemiology team and this position: The RWE/Epidemiology team consists of scientific experts, analysts & data scientists who support/lead study design, methodology development and result interpretation across a broad range of RWE/HEOR studies, for the pharmaceutical industry. The professional in this position will demonstrate a passion for the generation of rigorous and relevant RWE, ensuring delivery of high-quality evidence and outputs. You will independently drive study design, oversee data analysis and interpretation, and lead collaboration with clients and cross-functional teams. This individual will play a key role in advancing the organization’s epidemiologic and real-world data capabilities and supporting high-impact evidence generation for regulatory, clinical, and commercial use. Accountabilities within this role: • Lead and refine epidemiological study designs, addressing complex methodological challenges., • Oversee protocol development, analysis plans, and study reports ensuring clarity and quality., • Interpret results independently and communicate findings effectively to clients and stakeholders., • Apply deep therapeutic and coding expertise to align study design with data needs., • Utilise advanced knowledge of real-world data sources to guide study feasibility and interpretation., • Lead cross-functional teams and mentor junior epidemiologists., • Drive innovation and contribute to scientific thought leadership., • Manage multiple projects, ensuring timely, high-quality deliverables., • Support business development through proposal leadership and client engagement. Ideal profile: • MSc or PhD in Epidemiology/relevant field, • 5+ years of Epidemiological research experience, with substantial RWE focus in consulting, pharmaceutical or biotech settings (previous private sector/consulting experience highly desirable), • Experience working with secondary data, claims, EHRs, etc., • Proven leadership in study design, client interaction, and team management., • Deep expertise in epidemiological methodologies, therapeutic areas, and medical coding., • Strong record of scientific communication, including authorship and presentations., • Excellent interpersonal skills for mentoring, collaboration, and client engagement., • Exceptional organisational skills and attention to detail, • Flexibility to adapt to client project needs and handle competing priorities in a fast-paced workplace Competitive base salary, annual performance bonus and strong benefits package on offer. Don't miss out on this rare opportunity to join a close-knit, people focused company going through an exciting growth phase, becoming one of the leading specialist consulting teams in the RWE/HEOR space. Apply or reach out now for more information -

💼 Position: Senior Data Scientist 💵 Salary: £70,000 - £80,000 base + 12% flexible benefits 🌍 Location: London, UK (Hybrid – 3 days in office, 2 remote) An FTSE-listed global FinTech company is looking to hire a Senior Data Scientist in their Trading & Operations function, with deep experience leading high‑impact data science projects end‑to‑end, from problem framing and exploratory analysis through modelling, experimentation and working with MLE. You’ll collaborate with data engineering, platforms, web, messaging, analytics, marketing, risk and product. This is a key senior hire, driven by strong and growing demand for data science across the business. What you'll be doing: • Lead end-to-end data science projects: problem framing, EDA, modelling, experimentation, and working with MLEs to deploy into production, • Apply statistics, A/B testing and causal inference to inform product, growth, commercial and risk decisions, • Work with diverse structured and unstructured data across client behaviour, operations and financial domains, • Build advanced models and data products, including customer and growth models, recommendation systems, gradient boosting & ensemble methods, NLP / text analytics, time-series forecasting, & generative AI use cases, • Monitor model performance and design experiments tied to clear hypotheses, • Translate ambiguous business questions into measurable, actionable solutions, • Coach and mentor junior data scientists, raising the bar on technical quality, delivery and communication What we’re looking for: • 5+ years’ experience applying data science and ML to real-world business problems, • Strong grounding in statistics, experimentation and analytical reasoning, • Proven experience building predictive models and taking them to production, • Ability to communicate complex analysis clearly to non-technical stakeholders, • Comfortable working with imperfect, large-scale data in a fast-moving environment, • Strong Python and SQL skills, • Cloud experience (ideally GCP, but transferable skills welcomed) Nice to have: • Experience in financial services (not essential — support and training provided), • Exposure to marketing analytics or MMM projects, • Master’s level education in Data Science, Machine Learning or a related field What’s in it for you: • Competitive base salary + 12% flexible benefits, • Private medical cover (including family), • Life insurance, • Gym contribution, • 25 days holiday + birthday off + 2 volunteering days (28 total), • Buy/sell holiday options, • Unlimited access to an online learning platform Don't miss out on this incredible career opportunity! Apply now to become part of a dynamic team, or send an up-to-date resume to the details below. +1 212 970 7603

New Permanent Opportunity for an Enhanced DV Cleared Data Scientist / AI Engineer in Central London. • Must have active enhanced DV Clearance, • Junior to Lead levels available, • £45k to £95k DoE plus 15% clearance bonus, • Must be willing to be full-time on-site in Central London, • Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism and enhanced DV Clearance for a prestigious client to work on a portfolio of public and private sector projects. Our client is a global leader in technology, consulting, and engineering services at the forefront of innovation to evolve the world of digital, cloud, and platforms. You’ll experience excellent career progression opportunities to develop your skillset and personal profile in an inclusive culture. What will the Data Scientist be doing? Our client is seeking individuals with strong technical expertise in machine learning, GenAI, computer vision, and data science, alongside solid skills in solution architecture and software engineering to design and scale impactful solutions. This role involves working closely with clients to identify challenges, define solutions, communicate their value clearly, and lead teams to successful delivery. There are also opportunities to publish whitepapers and represent the organisation at conferences, all within an inclusive and diverse working environment. Key Skills and Requirements • Proficient in AI techniques including machine learning, GenAI, NLP, deep learning, graph analytics, and time series analysis., • Strong communicator with the ability to simplify complex concepts, manage stakeholders, and motivate/lead Agile teams to deliver robust outcomes., • Experienced in securing work through RFI/RFPs, bids, and presentations across public and private sectors., • Skilled in data science platforms (e.g. Databricks, AzureML) and cloud services (AWS, Azure, GCP), with knowledge of tools like Terraform., • Experienced in deploying solutions using Docker, Kubernetes, CI/CD tools. To be Considered: Please either apply by clicking online or emailing me directly at . For further information please call me on 0161 416 6800 or 07719065951 - I can make myself available outside of normal working hours to suit from 7 am until 10 pm. If unavailable, please leave a message and either myself or one of my colleagues will respond. By applying for this role, you give express consent for us to process & submit (subject to required skills) your application to our client in conjunction with this vacancy only. Also feel free to connect with me on LinkedIn, just search for Henry Clay-Davies. I look forward to hearing from you. KEY SKILLS: Data Science / Data Scientist / AI Engineer / AI / Machine Learning / ML / NLP / GenAI / Stakeholder Engagement / Customer Engagement / AWS / Azure / Cloud / Docker / Kubernetes / CI/CD / Deep Learning

We have an exciting opportunity within a growing technology-led organisation applying advanced machine learning to complex biological and scientific data. The focus is on translating foundational models into practical, real-world workflows that support discovery, development, and decision-making in highly technical environments. As a Senior Computational Scientist, you will provide scientific leadership at the intersection of biology and machine learning, ensuring applied work remains grounded in real-world challenges while delivering outputs that are usable, interpretable, and impactful. This Will Offer You • A senior individual contributor role with clear influence over scientific direction, • Ownership of applied model evaluation and real-world use cases, • Close collaboration with research, product, and commercial-facing teams, • The opportunity to mentor junior scientists and shape best practices, • Exposure to cutting-edge ML methods applied to complex biological data, • Scope to progress into people or technical leadership as the team scales Your Responsibilities • Lead the application and evaluation of foundation models in real-world scientific workflows, • Ensure scientific rigor and relevance across applied modelling efforts, • Act as a key scientific partner to research and engineering teams, • Translate complex biological and ML concepts into clear, actionable insights, • Support and mentor junior team members, • Collaborate with product and business-facing teams to turn research outputs into deliverables You Will Bring • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with industry experience or MSc in a relevant field with substantial industry experience applying ML to biological data, • Experience with single-cell, • Strong understanding of ML/AI methods for biological datasets (e.g. transformers, VAEs, diffusion models, classical ML), • Hands-on experience with modern ML frameworks such as PyTorch or equivalent, • Ability to communicate complex scientific ideas to both technical and non-technical audiences, • Comfort operating in fast-paced, iterative environments, • A strong interest in building at the intersection of biology and machine learning

📊 Junior Data Scientist (0–2 years) | Competitive Package (DOE) | London | Hybrid Working 🚀 Are you a Junior Data Scientist looking to start your career working on meaningful, real-world problems in the energy and sustainability space? We’re looking for a curious and motivated Junior Data Scientist to join a growing, mission-driven team in London, working in a flexible hybrid environment. This role is ideal for someone early in their career who’s excited by data, passionate about sustainability, and eager to apply analytics and machine learning to help drive the energy transition. You’ll sit within a collaborative data and analytics function, contributing to projects focused on energy insights, reporting, and optimisation, while learning from experienced data professionals in a supportive, growth-oriented environment. 🔍 In this role, you’ll: 📈 Develop and support analytical and statistical models using Python 🛠 Work with real-world energy and environmental datasets, including data cleaning, validation, and feature engineering ☁️ Use AWS services to support data storage, processing, and analytics workflows 🗄 Query and manipulate structured datasets using SQL 📊 Build reports, dashboards, and visualisations that translate data into clear, actionable insights 🌍 Contribute to carbon, environmental, or sustainability reporting (training provided if new to this area) 🤝 Collaborate with analysts, engineers, and non-technical stakeholders to support data-driven decision-making 📐 Help maintain best practices around data quality, documentation, and reproducibility 🌟 What’s in it for you? 📈 Career Development – Hands-on experience, mentoring from senior data professionals, and clear progression pathways 💡 Learning Culture – A collaborative team that values curiosity, ownership, and continuous improvement 🏢 Hybrid Working – A balanced mix of remote work and time in a central London office 🌱 Purpose-Driven Work – Apply your skills to projects that support sustainability and the energy transition 💰 Competitive Package – Compensation and benefits tailored to experience, including bonus, pension, and generous annual leave ✅ What we’re looking for: 🎓 A degree in Data Science, Computer Science, Mathematics, Statistics, Engineering, or a related field 💼 0–2 years of experience in data analysis or data science (graduate roles, internships, placements, or academic projects welcome) 🐍 Strong Python experience for data analysis and modelling (pandas, NumPy, scikit-learn or similar) 🗄 Solid experience working with SQL and structured datasets ☁️ Hands-on experience using AWS (e.g. S3, RDS, Athena, Glue, or similar) 🧮 A good understanding of statistics, data wrangling, and analytical thinking 🌍 A strong interest in the energy and sustainability sector ⭐ Bonus: exposure to carbon reporting, environmental reporting, ESG data, or energy-related analytics 💬 Clear communication skills and a collaborative, proactive mindset If you’re excited about building a career in data science while contributing to a more sustainable energy future, we’d love to hear from you. 👉 Apply now and take the first step in your data science career.

Senior Computational Scientist (Single-Cell + Machine Learning) We are searching for a Senior Computational Scientist with deep, hands-on single-cell expertise to help translate cutting-edge AI models into impactful discovery and translational workflows. This role sits at the intersection of single-cell biology, machine learning, and applied computational research, with direct influence on how next-generation foundation models are evaluated and deployed. You will partner closely with research scientists, ML engineers, product teams, and external collaborators to turn advanced single-cell methods into actionable insights for real-world drug discovery and translational use cases. This is a senior IC position with the opportunity to grow into management as the team scales. What You’ll Do • Lead scientific strategy and execution for evaluating and applying foundation models to single-cell and multi-omics datasets., • Develop, adapt, and benchmark single-cell workflows, including integration, perturb-seq analysis, and advanced multi-modal pipelines., • Collaborate with research and ML teams to design experiments and rapidly iterate from prototype to insight., • Work closely with Product and Business Development to translate complex biology + ML capabilities into customer-facing deliverables., • Mentor junior scientists and contribute to shaping the culture and scientific standards of a growing computational biology team., • Bring strong scientific judgment to ensure modeling work remains grounded in translational biology and drug development needs. What We’re Looking For • PhD in Computational Biology, Bioinformatics, Machine Learning, or a related field with a strong single-cell focus, and 2+ years of industry experience; or MSc with 5+ years of relevant industry experience., • Deep, hands-on experience with single-cell technologies (integration, perturb-seq, multiome, advanced workflows)., • Strong understanding of modern ML/AI approaches for biological data, such as transformers, VAEs, diffusion models, or classical ML methods., • Proficiency with ML frameworks like PyTorch (or equivalent)., • Excellent communication skills with the ability to explain complex science to diverse technical and non-technical audiences., • Comfortable working in a fast-paced, iterative environment., • Passionate about building at the intersection of biology, machine learning, and real-world translational impact.

Senior Data Scientist – Healthcare & Life Sciences Consulting Location: UK (hybrid working, 3 days in office or client site) Sector: Healthcare | Life Sciences | Public Sector | Health Tech A purpose-led consultancy operating at the forefront of healthcare transformation is seeking a Senior Data Scientist to join its growing data and analytics team. This organisation works across the healthcare ecosystem — including health systems, life sciences, health technology and investors — supporting clients to improve outcomes, inform decision-making and create sustainable value through data, digital and AI. The role This is a senior technical, hands-on role sitting at the intersection of advanced analytics, healthcare strategy and client delivery. You will lead complex data science workstreams, translating ambiguous clinical, commercial and policy questions into robust, decision-focused analytics. You’ll work closely with consultants, engineers and client stakeholders, acting as a trusted analytical advisor while maintaining a strong focus on delivery quality, reproducibility and impact. Key responsibilities Client delivery & advisory • Translate complex client questions into well-defined analytical problem statements, • Lead end-to-end data science workstreams from scoping through to insight and presentation, • Communicate complex methods and insights clearly to non-technical audiences, • Operate confidently in ambiguous problem spaces, applying structured problem-solving Advanced analytics & modelling • Build predictive models for health outcomes, healthcare utilisation and commercial performance, • Deliver population health analysis, disease burden studies and real-world evidence work, • Apply rigorous statistical methods with a focus on transparency and interpretability, • Work with both structured and unstructured data sources Data engineering & software engineering • Design, build and maintain scalable data pipelines integrating multiple data sources, • Write clean, well-tested, reproducible Python code using modern engineering practices, • Use Git for collaborative development, code reviews and CI/CD workflows, • Work with cloud-based storage and compute environments (e.g. AWS or GCP), • Manage Python environments (e.g. conda, poetry, uv, pip) and use Bash/CLI tooling Stakeholder & delivery management • Lead technical discussions, workshops and presentations, • Identify risks, dependencies and delivery constraints within data workstreams, • Maintain high standards of documentation, quality control and delivery excellence, • Support and mentor more junior team members About you Essential experience • Degree or postgraduate qualification in Data Science, Computer Science, Statistics or similar, • Strong experience delivering data science projects in a consulting or project-based environment, • Advanced Python and SQL skills, • Strong grounding in statistics (e.g. regression, hypothesis testing, time series, predictive modelling), • Experience designing and implementing complex data pipelines, • Experience working with cloud platforms and secure data environments, • Confident communicator, able to explain technical concepts to non-technical stakeholders Desirable • Experience working with healthcare, pharmaceutical or life sciences data, • Knowledge of population health, epidemiology, health economics or RWE, • Experience with unstructured data, NLP or advanced machine learning techniques, • Familiarity with healthcare data standards or clinical pathways Working pattern Hybrid working model with a strong emphasis on in-person client collaboration, balanced with flexible and remote working options.

Data Scientist - Technical Pricing Manager Global Insurer £85,000 - £95,000 base + 20% bonus London – 3 days per week DATAHEAD is partnering exclusively with a global reinsurance and specialty insurance group to hire a Technical Pricing Manager to drive pricing transformation across multiple specialty lines. This is a hands-on role combining model development, underwriting partnership, and technical leadership. What you’ll do: • Develop and enhance pricing models (Python & Excel), • Lead recalibration and rate adequacy work, • Embed technical pricing into underwriting workflows, • Identify inefficiencies and design scalable solutions, • Mentor junior analysts and represent pricing in cross-functional forums What we’re looking for: • 5+ years’ GI pricing experience, • Strong Python capability (model build level), • SQL proficiency, • Experience working closely with underwriters, • Confident communicator with a commercial mindset Actuarial background desirable but not essential. This is a strong opportunity for a Senior Pricing Analyst or Pricing Manager ready to step into a broader transformation role with real visibility and impact.

An innovative firm in the sports data science sector seeks creative minds to join their team. If you're passionate about data and eager to push technological boundaries, this opportunity is perfect for you.

At False9 Technologies, we’re driven by a deep passion for sports, trading, data science, and cutting-edge technology. We develop innovative tools and provide expert services to help our clients make data-driven, probabilistic assessments and forecasts - primarily in sports. Develop and maintain t