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Are you looking to benefit from a new career in Programming? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. We 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. The 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. Whether 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. Step 1 -HTML and CSS Online Training (*12 weeks) The 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. * HTML Essentials (6 weeks) * CSS Essentials (6 weeks) The 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. Once the HTML & CSS courses are complete, you will be ready to move forward. Step 2 -Online Training (*12 weeks) The second step includes a selection of more advanced courses to get you up to speed. * Learn the Command Line (1.5 weeks) * Learn Git & GitHub (1.5 weeks) * Learn JavaScript (1.5 weeks) * Learn Python 3 (1.5 weeks) JavaScript 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. Step 3 - Build a Portfolio Website Project (1 week) Additional Courses * AWS Certified Cloud Practitioner * Microsoft Certified: Azure Administrator Associate Step 4 - Junior Programmer placement (£25K - £40k) We 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. Programmer Role Once 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. We 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. In addition, we are also ELCAS approved to help members of the Armed Forces, Service Leavers and Veterans gain rewarding careers in IT and Cybersecurity. Job Guarantee Due 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. Passionate about starting a career in coding? Apply now and one of our friendly advisors will be in touch. Keywords: 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.

Quantitative Data Scientist (Python SQL Maths) Newcastle onsite to £150k+ Are you mathematically minded, with a first class education and strong Python programming skills? You could be progressing your career, as a Quantitative Data Scientist, working on complex and interesting systems at a FinTech scale-up, they have secure backing and an established Hedge Fund client as a partner. As a Quantitative... ZIPC1_UKTJ

Are you looking to 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. CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and pro

Data Scientist Location: Newcastle (Hybrid) - 3 in Office, 2 from home About the Role We’re looking for a talented Data Scientist to join our growing team in Newcastle on a part-time basis (3 days per week). This is an exciting opportunity to work on real-world data challenges, influence decision-making, and help shape data-driven strategy across the business. Key Responsibilities • Analyse large and complex datasets to uncover trends, insights, and opportunities, • Build, validate, and deploy predictive and statistical models, • Work closely with stakeholders to translate business questions into data solutions, • Develop dashboards, reports, and visualisations to communicate findings clearly, • Maintain and improve data pipelines and workflows, • Contribute to best practices in data science and analytics Requirements • Strong degree in Data Science, Mathematics, Statistics, Computer Science, Physics, or a related quantitative field, • Proven experience with Python or R for data analysis and modelling, • Solid knowledge of statistical methods and machine learning techniques, • Experience with SQL and working with large datasets, • Ability to communicate complex insights to non-technical audiences, • Strong problem-solving skills and attention to detail Desirable Skills • Experience with cloud platforms (AWS, Azure, or GCP), • Familiarity with data visualisation tools (e.g., Power BI, Tableau), • Experience deploying models into production environments What We Offer • Flexible hybrid working (3 days per week), • Competitive salary (pro-rated), • Supportive and collaborative team environment, • Opportunities for professional development and learning, • Modern office based in Newcastle How to Apply Please submit your CV and a short cover letter outlining your experience and interest in the role. We’d love to hear how you can help us turn data into meaningful impact.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

About the Company Our client is an established, globally operating SaaS business within the travel and hospitality technology space, supporting tens of thousands of customers worldwide. Following significant recent investment in product and platform evolution, the business is now entering a critical phase focused on embedding AI and machine learning at the core of its commercial and product strategy. This is a transformation role with direct visibility at executive level and real influence over how the business evolves. The Opportunity This is not a traditional data science role. You will operate at the intersection of AI strategy and hands-on execution, working directly with senior leadership to define, build, and deploy AI-driven capabilities across the organisation. The focus is on practical application, speed, and measurable impact — particularly in areas such as pricing optimisation, forecasting and intelligent automation. You will play a central role in shaping how modern AI technologies (LLMs, prompt engineering, ML models) are embedded into both the product and the broader business. Key Responsibilities • Design and implement AI-driven solutions across product, pricing, and internal workflows, • Apply LLMs and prompt engineering techniques to real-world business challenges, • Build and deploy machine learning / deep learning models, particularly within pricing and forecasting contexts, • Work with distributed data sources, APIs and emerging frameworks (including MCP where relevant), • Influence product and engineering teams to adopt AI-first thinking, • Help modernise and evolve legacy systems into scalable, future-ready architectures, • Drive standardisation of data, language and structures across the business, • Deliver solutions that are production-ready and commercially impactful, not theoretical Experience & Technical Background We are looking for a strong blend of hands-on AI capability and applied commercial thinking, including: Core AI / LLM Expertise • ~5+ years working with AI, including prompt engineering and LLM structures, • Strong understanding of how to manipulate and optimise LLM outputs, • Experience integrating AI into production environments via API-based architectures Data & Architecture • Experience consuming and working with data via APIs, • Exposure to MCP (Model Context Protocol) or similar frameworks (desirable, not essential), • Ability to work with complex, distributed and evolving data environments Machine Learning • Strong grounding in machine learning and/or deep learning models, • Understanding of regression models and predictive modelling, • Interest or experience in price forecasting and predictive analytics Who You Are This role is as much about mindset as it is about technical capability. You are: • A builder and operator — you lead by doing, not delegating, • A pace-setter — others follow your example, • A change agent — you challenge the status quo and improve how things are done, • Highly execution-focused — you can explain a solution clearly in minutes, not documents, • Equally comfortable with strategy and hands-on delivery, • Commercially driven — focused on revenue, growth, and real-world impact, • Resilient and adaptable — comfortable working with both modern and legacy systems, • Motivated by solving complex problems and seeing your work deployed at scale You also bring: • A strong appreciation for structured thinking, language, and data consistency, • A desire to bring clarity and standardisation to complex environments, • A collaborative mindset — able to work effectively across engineering and leadership teams Package: • Up to £150,000 base salary, • 15% performance-based bonus, • Fully remote working, • Ability to make a real difference at executive level, • Vast career opportunities, • Many other perks... Why This Role? This is a rare opportunity to step into a high-visibility, high-impact AI role within a scaling SaaS business, where you will directly influence product direction, commercial outcomes and the adoption of AI across the organisation. If you’re looking for a role where you can build, shape, and deliver — not just advise — this is it.

Job Title: Bioinformatics Scientist (Genomics & AI) Location: Europe (Remote / Hybrid options available) Type: Contract or Permanent (depending on candidate preference) Start Date: ASAP Overview We are working with a number of innovative organisations across the life sciences sector who are investing heavily in bioinformatics, genomics, and AI-driven research. As a result, we are looking to engage experienced Bioinformatics Scientists to support ongoing and upcoming projects focused on genomic data analysis, computational biology, and machine learning applications in drug discovery. Key Responsibilities • Analyse and interpret large-scale genomic and biological datasets, • Develop and maintain bioinformatics pipelines and workflows, • Apply statistical and machine learning techniques to biological data, • Collaborate with cross-functional teams including data scientists, biologists, and software engineers, • Support research and development initiatives in areas such as genomics and drug discovery, • Document methodologies, results, and best practices Required Experience • Proven experience in bioinformatics, computational biology, or a related field, • Strong programming skills (e.g. Python, R, or similar), • Experience working with genomic or multi-omics data, • Understanding of statistical analysis and/or machine learning techniques, • Familiarity with bioinformatics tools and pipelines Nice to Have • Experience in AI/ML applied to life sciences, • Exposure to drug discovery or clinical research environments, • Cloud platform experience (AWS, GCP, or Azure)

Do you want to use data science to reduce hospital admissions and improve patient outcomes? Have you worked on projects where your models directly influenced real-world care decisions? Are you ready to deliver AI solutions embedded within healthcare systems, not just prototypes? A leading UK consultancy is building a dedicated AI & Data Science team to deliver high-impact work across health and social care. They specialise in embedding technical teams directly within client environments — working alongside clinicians, operational leads, and public sector stakeholders to deliver measurable change. With a strong track record in complex, regulated environments, they’re now scaling their capability across ML, NLP, and advanced analytics. As a Data Scientist (Lead / Principal), you’ll work on projects that directly impact patient care and system efficiency. Recent work includes predictive analytics for fall prevention, combining structured data and clinical notes to trigger early interventions and reduce hospital admissions. Key Responsibilities • Build and deploy data science, ML and NLP models for healthcare and social care use cases, • Work with structured data and unstructured clinical datasets, • Partner with stakeholders to design and deliver end-to-end solutions, • Translate modelling outputs into measurable outcomes (e.g. reduced admissions, improved care pathways) Key Details • Salary: £80,000 - £130,000, • Working model: On-site 3+ days/week with healthcare clients across England, • Tech stack: Python, NLP libraries, MLflow, Databricks, Azure, simulation tools, • Visa: This role cannot sponsor Interested? Please apply below.

Job Location NEWCASTLE INNOVATION CENTRE Job Description Ready to fuel the success of globally renowned brands that millions of consumers can’t live without? Ever dreamt of a career where you are fully supported by world-class training and development to progress to leadership? Then apply for our R&D Post-Doctoral Analytical 24 Month Placement at our Newcastle Innovation Centre! Our Researchers at P&G go to work, making and improving the products for billions of consumers who use products like Ariel, Fairy, Lenor every single day. We are talking big innovations, groundbreaking technology, state-of-the-art labs, micro-scale plants and a team full of inventors to make this happen. During your 24-month post-doctoral placement, you will be entrusted to work on real projects on some of our most loved brands. This is a unique opportunity to bridge the gap between academic discovery and real-world impact, applying your deep scientific knowledge to develop technologies and products used by millions of consumers every day. You will be at the forefront of analytical method development to characterize breakthrough technologies to solve consumer problems. You will leverage state-of-the-art instrumentation to generate critical data, uncover new mechanistic insights, and help invent the next generation of Fabric and Home Care solutions. This role is for a scientist who thrives in the lab and is driven to solve complex analytical challenges. • Design and execute advanced laboratory experiments focused on volatile and semi-volatile analysis using gas chromatography-mass spectrometry (GC-MS)., • Develop, validate, and implement novel analytical methods, particularly leveraging advanced sample introduction techniques like Headspace Solid-Phase Microextraction (HS-SPME) and Thermal Desorption (TD)., • Analyse and interpret complex analytical data to provide actionable insights and guide technology development for our project teams., • Collaborate closely with a cross-functional team of senior scientists, engineers, and product developers to drive R&D initiatives and deliver on key business objectives., • Take ownership of critical analytical instrumentation, including routine maintenance, troubleshooting, and performance optimization., • Communicate findings effectively through technical reports, data summaries, and presentations to both technical and non-technical stakeholders., • Responsibilities from Day 1: Right from the start you will be working with some of our biggest brands making a real impact on our products., • Build from Within Career: You'll collaborate with passionate individuals and receive both formal training and day-to-day mentoring from your manager. As a 'build from within' company, our people start at entry level and progress through the organization. When we make a job offer, it’s with the expectation that you will grow into one of our future leaders, and to help you get there, you will work closely with skilled P&G veterans for mentoring and coaching at every step., • Competitive Compensation: You will receive a competitive Post-Doc salary as well as other benefits whilst you are with us. Successful candidates could be recommended for hire for a full-time role with P&G., • Great Benefits: On top of your great salary, you can enjoy lots of benefits including a competitive double-matched pension scheme, private health insurance, participation in a stock ownership scheme, and your own Flex4Me Fund where you can allocate a portion of your benefits package to the areas that matter most to you. To find more information about our benefits package take a look here: ___ Job Qualifications • You must be currently enrolled in the final year of a PhD program or have recently completed a PhD (within the last 1-2 years) in Analytical Chemistry, Chemistry, or a closely related scientific field., • Demonstrated expertise in gas chromatography-mass spectrometry (GC-MS), with a strong preference for 3+ years of hands-on experience gained during your post-graduate studies or other relevant work., • Direct experience with advanced sample introduction techniques for GC-MS, specifically Headspace Solid-Phase Microextraction (HS-SPME) and/or Thermal Desorption (TD) measurements., • A strong foundation in analytical chemistry principles and a genuine passion for hands-on laboratory work., • Academic excellence at all stages throughout school and university education with a proven track record of independent problem-solving and method development., • Demonstrated technical curiosity, creativity, innovation, initiative, leadership, collaboration and communication skills., • Evidence achievements, particularly leadership, in academic and/or non-academic activities, short work experience or internships are a plus. Application Deadline: Apply as soon as possible to secure your chance! Right to Work: For our placement roles, you will need to provide your own right to work in the UK for the full duration of your placement without requiring sponsorship from P&G. P&G is legally required to ensure all candidates have the right to work in the UK from Day 1 of their employment. All applicants will therefore be asked to provide evidence of their right to work at the conclusion of the recruitment process as a condition of employment. We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click ___ if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience. Job Schedule Full time Job Number R000149229 Job Segmentation Internships Starting Pay / Salary Range £55.000,00 / year

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

Senior Technical Writer – CMC (Consultant) An experienced CMC Technical Writer is required to support late-stage drug development programmes, working on complex submission documentation within a fast‑paced development environment. What we’re looking for: • An established Regulatory CMC professional with a significant focus on technical writing and submission management, handling complex, data‑heavy documentation Essential experience: • Proven involvement in drug development, ideally Phase III, • Flexibility on dosage form, • Ability to work independently and deliver to tight timelines Contract details: • 6‑month contract (high likelihood of extension), • Fully remote (UK / EU), • Competitive day rate Shortlisting date: 18th March - please contact Mark Bux-Ryan for further details.

A leading specialist investment firm in Newcastle is looking for a Data Scientist to enhance their investment decision-making process through advanced data analytics. This role offers the opportunity to work with complex datasets and contribute to impactful data products in a collaborative environme

A national healthcare authority in the UK seeks a Principal Data Scientist to utilize advanced data analytics and machine learning to prevent NHS fraud. You will lead a team in developing fraud detection models, communicate complex findings to stakeholders, and ensure compliance with data standards.

Serving our customers, communities, and planet a little better every day.Salary: £38,000‑£57,000 plus annual bonus and benefits.Location: Newcastle (Permanent, hybrid; 2 days per week in office).Creation, maintenance, and continuous improvement of predictive models within the claims department.A

A leading supermarket chain in Newcastle upon Tyne is seeking two Data Scientists to join their Operational Excellence team.You will focus on creating and improving predictive models in the Claims department, applying data science techniques to enhance customer experiences and business outcomes.The

The role involves designing, building, and maintaining machine learning models for credit scoring.

A leading global organisation in Newcastle is seeking a Graduate Data Scientist to join their dynamic team. Ideal candidates will have a strong academic background in Computer Science or Data Science and practical experience with data tools like Pandas and NumPy. The role involves designing and depl

You’ll become versatile in a wide array of tools across data-focused coding, data visualisation, Cloud Services, Big Data and Machine Learning.You will be equipped to work within a variety of roles including but not limited to Data Engineer, Data Analyst, Data Scientist, and Information Engineer.Y

Graduate Data Scientist - Newcastle - Asset Management. We’re hiring a Data Scientist for a global organisation operating at the intersection of data, analytics, and AI-driven decision-making. Establish and uphold best practices across data science methodologies, including data preparation, model

Laboratory Scientist (Temporary) Location: Newcastle upon Tyne Contract: Temporary – initial 6 month assignment Hours: Full-time, standard days (Monday–Friday) CY Partners are working with a growing and innovative life sciences organisation to recruit an Laboratory Scientist to support ongoing development programmes within their Research & Development function. This is an excellent opportunity for a laboratory professional with experience in tissue culture and antibody based workflows to contribute to the development and optimisation of high quality diagnostic reagents within a regulated environment. The Role You will play a key role in supporting feasibility studies, reagent development and assay verification activities. The position will involve hands on laboratory work, maintaining robust documentation standards and contributing to continuous improvement initiatives. Key responsibilities will include: Performing mammalian tissue culture and media preparation using aseptic techniques Supporting antibody purification workflows, including filtration, chromatography and buffer exchange Conducting assay testing on automated instrumentation, including slide preparation and troubleshooting Supporting analytical testing such as ELISA and protein quantification Maintaining accurate laboratory notebooks, batch records and electronic data systems Working in accordance with cGMP / ISO laboratory standards and safety procedures Contributing to assay development, optimisation and qualification activities Supporting general laboratory maintenance and equipment upkeep About You We are seeking a motivated and detail oriented scientist who enjoys working in a structured laboratory environment and contributing to collaborative R&D programmes. Requirements: Degree (BSc or MSc) in a relevant life science discipline Practical experience in mammalian cell culture Experience with antibody purification techniques Ability to follow detailed SOPs and maintain high data integrity standards Previous experience working in a regulated laboratory environment is highly desirable Why Apply? Opportunity to gain experience within an innovative R&D environment Exposure to diagnostic reagent development and automated assay platforms Collaborative team culture within a well-established scientific organisation Immediate impact role supporting key development projects If you would like to find out more about this confidential opportunity, please apply via CY Partners or contact our scientific recruitment team for a discussion. CY Partners are acting as an Employment Agency in relation to this vacancy. Applicants must have the right to work in the UK

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

However, data and tech are only half of the package. They spend their days collecting, analyzing, and interpreting data from a wide range of live sporting events. If you combine this real-time data with our 40-year-old archives, elite journalists, camera operators, copywriters, the latest in AI wiza

We are looking for a hands-on Data Scientist to work alongside our lead data scientist to experiment, engineer, and deliver innovative predictive models into our modern AWS production environments. A core ability to creatively analyse a raw dataset and spot trends, outliers, and behavioural clusters

Data Scientist – Energy & Production ML. We're hiring a data scientist who ships. We use real-time market data and ML to shift energy consumption to times when it's cheaper and greener.

You’ll work across the full data science lifecycle; shaping problems, exploring data, experimenting with models, and deploying real solutions that drive real outcomes. Learn from and collaborate with a highly experienced Lead Data Scientist and top tier engineers. Git, Docker, CI/CD, data pipeline

With strong leadership backing and a growing modelling roadmap, they are looking to add experienced Senior Data Scientists to support their next phase of development. Work with messy, complex datasets including geospatial and alternative data sources. Guide a junior Data Scientist and support their

With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data, & Microsoft Azure AI Fundamentals 100 hours of live instructor

With our Data Analytics career programme we will provide you with: 8 training modules: Excel, SQL, Python, R, Tableau, Power BI, CompTIA Data & Azure AI Fundamentals 3 official examinations: Microsoft Power BI Data Analyst, CompTIA Data, & Microsoft Azure AI Fundamentals 100 hours of live instructor

Data Scientist (Machine Learning) – Initial 12 mth FTC £50,000+Bonus+Benefits-Remote working My client are a leading Consultancy in the Commercial Sales arena helping Businesses and Retailers all across the UK. With most of the team in place we are looking for a <b

They are investing heavily in their data capability and are now looking to appoint a Lead Data Scientist to drive end-to-end machine learning delivery within a regulated financial environment. Senior Data ScientistMy client is a fast-growing UK business serving thousands of customers. The R

The Principal Data Scientist role focuses on applying and delivering advanced data analytics, machine learning, statistical analysis, and fraud detection techniques within the NHS. Apply expertise in all areas of Data Science and Advanced Data Analysis by conducting highly complex detection of fraud

We’re looking for a Lead Data Scientist to join our Global Football Metrics data science team, which is focused on delivering innovative machine learning models to keep Hudl at the cutting edge of sports analytics. As a Lead Data Scientist, your key responsibilities will include:. You will have ac

We are seeking a Senior Data Scientist to join our Applied AI team to develop intelligent, data-driven product features, and foundational models that serve our products. You will deliver the Data Science component of key strategic initiatives including owning, maintaining and deploying production‑

Architect Data Pipeline Solutions: Strategically design and implement enterprise-grade data pipelines for optimal data processing thru python and Snowflake. The Principal Data Scientist/Engineer is responsible for architecting and leading the development of sophisticated data solutions that address

You will work at the intersection of data science, business strategy, and technology, helping clients unlock value from their data assets while mentoring junior team members and shaping IBM’s data science capability. Mentor and coach junior data scientists and analysts. Data Scientist - Advanced A

Movar is seeking an Associate Director Data Scientist with extensive leadership experience in AI and advanced analytics. You will combine strategic leadership with deep technical expertise in AI and machine learning, ensuring Movar remains at the forefront of applied AI whilst building a world-class

DFSAfrica is seeking a Data Scientist to join our Connective the Dots Initiative (CDI) and Africa to the World (A2W) teams, working on advanced algorithms that automate inventory management for life‑saving medical products. Work with the product and research teams, and academic partners, to implem

We are seeking an AI Data Scientist to help build intelligent, data‑driven products. Senior Forward Deployed Data Scientist, AI Deployment. You'll collaborate with product, engineering, and business teams to transform data into actionable insights and high‑impact AI solutions.

A logistics innovation company in Greater London is seeking a Senior Data Scientist to lead forecasting models crucial for operational decisions. You will monitor model accuracy, work alongside data engineers, and contribute to methodology decisions. This role demands strong skills in Python and SQL

We are seeking a Data Scientist to join our Data & AI practice. You will join a team of Data Scientists and Analysts who are passionate about turning data into business impact. You are a practical, business-minded data scientist who prioritizes delivering value over theoretical perfection.

A leading food delivery service is seeking a Senior Data Scientist to develop machine learning applications that enhance customer experiences.

We are seeking a technically strong Data Scientist to join a growing Fraud & Financial Crime team within a fast-scaling financial services environment. Translate complex data insights into clear recommendations for technical and non-technical stakeholders. Strong SQL and Python skills, with hands‑