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Yaspa is an award-winning fintech that connects identity and money to simplify and accelerate the way we pay. Founded in 2017 by a former Worldpay CTO, Yaspa uses open banking to provide instant bank payments that are faster, more secure and more cost-effective than cards, and to help regulated businesses seamlessly verify customers and their payments. Yaspa operates across the UK and Europe, is regulated by the UK’s Financial Conduct Authority, and is backed by leading investors including Fin Capital, SGH Capital & Metavallon VC. Yaspa has recently secured a $12 million (£9m) investment led by Discerning Capital with participation from longstanding Yaspa investor Techstars Ventures. This milestone funding will accelerate our expansion into the US market as we continue to transform payments and identity services for regulated businesses. The role We are seeking a skilled data scientist to contribute to our new Customer Risk and Customer Health Check platform, powered by open banking. Your role will involve developing a Machine Learning product that analyzes customers' transactional data (provided with their consent) to generate insights based on their spending patterns. These insights will be applied across sectors like loans for risk management and IGaming for managing customer spending behaviors. You will play a crucial role in our transition from a payment-focused business to one that leverages AI and machine learning to better understand our customers. We’re looking for data scientists with a strong grasp of Machine Learning who thrive in a fast-paced, agile environment and can help expand Yaspa's AI capabilities. You’ll join a close-knit, multidisciplinary team that includes frontend, backend, and full-stack developers, release engineers, and testers, with direct reporting to the CTO. Experience in the following areas is a plus: finance, open banking, iGaming, startups, or enterprise companies dealing with real-time processing. Responsibilities • You will use Python, with a strong grounding in feature engineering, model evaluation, and inference pipelines to help shape the future of our product offerings, • Lead data labeling at scale to produce ground-truth datasets and use ML techniques to maximise labelling efficiency, • Act as a subject matter expert in Analytics: Strong understanding of statistics, experimental design, and hypothesis testing to identify trends and patterns, and develop predictive models, • Design intuitive visualisations to communicate findings and insights to clients, technical and non-technical stakeholders, • Lead model deployment with an eye for performance, scalability, and real time low-latency inference Other points you’ll support on: • Bring experience or gain knowledge to act as a subject matter expert in open banking, payment networks (ACH, RTP), and real-time risk infrastructure is a strong plus., • Bring experience or gain knowledge to act as a subject matter expert in designing and deploying real-time risk models, ideally in the context of A2A payments or other financial transaction systems is a strong plus., • Bring experience or gain knowledge to act as a subject matter expert in fraud detection, creditworthiness assessment, and optimising transaction approval rates using advanced DS/ML techniques is a strong plus. Experience Required skills • Hands-on experience building and deploying ML models in Python, • SQL skills and familiarity with AWS for deployment and data workflows., • Strong knowledge of statistical modelling, anomaly detection, clustering, and supervised/unsupervised learning, • Experience working with large-scale data, • Proven success collaborating with product and engineering teams to ship ML-based features and tools, • Strong communication skills and business acumen to present complex technical ideas to non-technical stakeholders, • Curious, proactive, and comfortable working in ambiguity in a scaling startup environment, • Proficiency with data visualisation tools such as Tableau, PowerBI, • Degree with 5+ years of relevant experience, OR equivalent Nice to Have • Demonstrated ability to design and validate features using transactional and behavioral data from financial services, • Proven track record in payment risk, fraud detection, or credit decisioning is strongly preferred, • Experience with model governance and monitoring in regulated environments, • Experience with cloud platforms (AWS, GCP, Azure), preferably AWS, ML tools such as the AWS suite: Sagemaker Key Details Reporting to Lead Data Scientist Hours Full time Location London - Hybrid WFH model, x2 days a week onsite (Wed/Thurs) Working with Yaspa We are a fun, collaborative team based in London (though many of us work remotely for part of the week). Benefits of working with us include: • A strong focus on culture - We’re a friendly bunch who work hard and support each other; if you’re excited by personal and professional growth, and being able to really make your mark, then this is the place for you!, • Flexible hours and hybrid working - We are in the office 2 days a week (typically Wednesdays and Thursdays), where we collaborate and learn from each other. This is matched by the balance of WFH to allow you to manage your days autonomously., • The best tech - You will get a Macbook on your first day, • WFH set-up allowance - Along with your new laptop, we will also provide you an allowance so you can get your perfect set up sorted., • Quarterly socials - The Yaspa team is fun and curious, so we make sure we get together to go-kart, throw darts, play board games and generally enjoy ourselves!, • Mental and physical health support - We provide you with an app that’s specially tailored to support your health, as well as access to 24-hour advice and free GP appointments. You can also access counselling and use the app for all parts of your life., • Generous holiday allowance - As well as all the UK public bank holidays, you get 28 days of holiday to enjoy and take as you’d like. Emails off, sunnies on!, • Pension (up to 3% matched contributions) - For planning ahead! Note • We cannot offer Visa sponsorship, • We're not working with external agencies at this current time. Next steps Interested? We’d love to hear from you. Please apply via LinkedIn with your CV and a covering letter explaining why you think you’re the right person for this role. You can find out more about us at ___. Please note that as an equal opportunities employer, Yaspa is committed to the equal treatment of all current and prospective employees and does not condone discrimination on the basis of age, disability, sex, sexual orientation, pregnancy and maternity, race or ethnicity, religion or belief, gender identity, or marriage and civil partnership. We aspire to have a diverse and inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join Yaspa.

About elm elm is a suite of software products built for the FMCG industry. We help brands consolidate and make sense of sales, marketing, supply chain, and financial data focused around retail and FMCG. We’re a small team of data experts with experience growing both FMCG and tech brands. Our founders, Cian and Emily, are both ex-early Uber employees and have worked at high-growth consumer brands including Lucky Saint and Edgard & Cooper. This is a chance to become one of the first 10 hires at a startup that already has 150+ subscribing organisations, and is growing 60%+ year on year. You’ll also have the opportunity for meaningful equity. We currently have three revenue-generating products and will be launching our most exciting product since inception in 2026. This role will play a key part in the go-to-market for that launch too. The role We’re looking for a data engineer/scientist to join our small and growing team to continue building our data processes and help build our product further. As part of the data team at elm you can expect to own large parts of the data product, learn fast and grow as elm does, and work directly with large customers directly on their most exciting opportunities. What you'll do: • Support with internal data processes and take the lead on ensuring all data connections are live and active, • Develop new data features and improve existing ones to help FMCG brands harness their data, • Develop internal tools and processes to ensure data infrastructure is working to its utmost capability, • Work with extensive datasets in the retail sector to create and implement data science solutions for the industry, • Help users solve issues and respond to their feedback, • Work alongside our engineering, product, and sales teams to develop and implement data products About you • Ideally 1+ year of experience in data engineering or data science, • You’re very well-versed in SQL and Python, • You have experience working with data systems and architecture such as AWS, DBT, or similar, • You're confident both getting stuck in with data processes and tasks but also thinking strategically about how data can help drive businesses forward, • You’re well organised and a strong communicator, • Self-motivated, ambitious, and excited by startup environments What we offer • £40k starting salary, • Share options, so you can own a part of elm, • Flexible working; we trust you to do your job well, wherever and whenever you work best, • Ownership and real opportunity to shape your career and grow with us, • 28 days holiday plus bank holidays, plus a two-week Christmas office closure, • Gym in the office, • Paid sabbatical after 4 years, • Yearly residential offsite, • Regular socials with the London team, • Team lunch out for every record month (we’ve had three in the past six months) We’re flexible on working location, but we’re a London-based company. The ideal candidate will either live in London or be able to travel here regularly. What to expect working at elm • Flexible working and autonomy, • Genuine ownership and progression, • A small, ambitious team building something meaningful in FMCG tech You can learn more about us at A little about the application process 1. Application review, 2. Phone or zoom interview, 3. Practical exercise (2-3 hours of your own time at most), 4. Further team interviews, 5. Final discussion / offer

Introduction to team: As a Data Scientist III on our Experimentation Science team, you will play a critical role in shaping the statistical methodologies that underpin Expedia Group’s experimentation platform. Your work will ensure that every feature change on our website—from button colors to booking flows—is rigorously tested to maximize business impact. This role blends research and practical application, requiring you to design, evaluate, and improve hypothesis testing frameworks and experimentation techniques. You will collaborate closely with platform engineers to implement scalable solutions, provide expert guidance to stakeholders, and drive innovation through cutting-edge statistical research. This position offers a unique opportunity to apply deep statistical expertise in a dynamic environment where your contributions directly influence product decisions and customer experiences worldwide. In this role, you will: • Lead the development and validation of advanced statistical methodologies to support Expedia Group’s experimentation platform, ensuring robust and reliable A/B testing across the website’s features and user experiences, • Collaborate closely with the experimentation platform team to design, implement, and scale new testing frameworks and tools that enhance the platform’s capabilities and reporting accuracy, • Provide expert guidance and training to cross-functional teams on experimental design, hypothesis testing, and statistical best practices to optimize test duration, sample size, and overall experiment quality, • Conduct original research to explore and develop innovative approaches for experimentation challenges, including designing proof-of-concept studies and integrating new methodologies into production workflows, • Analyze complex experimental data, build simulation frameworks to quantify error rates, and communicate findings clearly to both technical and non-technical stakeholders to inform business decisions What we're looking for: • Deep expertise in statistical methodologies, particularly hypothesis testing, design of experiments, and interpretation of p-values and confidence intervals, with the ability to apply these concepts rigorously in an experimentation context, • Strong analytical mindset with the capability to structure complex business problems and translate them into statistically sound experimental designs and solutions, • Proficiency in programming with experience in Python, PySpark, R, or similar languages, sufficient to implement and test statistical models and simulations, with an emphasis on correctness over advanced coding skills, • Demonstrated ability to conduct independent research, quickly learn new statistical techniques, and develop proof-of-concept models that can be scaled and integrated into production experimentation platforms, • Excellent communication skills to clearly explain complex statistical concepts and experimental results to both technical and non-technical stakeholders, ensuring alignment and understanding across teams Experience and qualifications: • A bachelor’s degree or higher in Mathematics, Statistics, or a closely related quantitative field, providing a strong foundation in statistical theory and experimental design, • Proven expertise in hypothesis testing, design of experiments, and statistical methodologies critical to experimentation science, • Solid programming skills in at least one language such as Python, R, or PySpark, with the ability to write clean, maintainable code to support research and implementation, • Experience applying statistical rigor to real-world business problems, with the ability to independently lead and deploy methodologies at scale, • Strong analytical mindset with the capacity to research, evaluate, and implement new statistical approaches and simulation frameworks, • Excellent communication skills to clearly explain complex statistical concepts and results to both technical and non-technical stakeholders, • Ability to work collaboratively within a small, focused team and liaise effectively with platform engineers and business partners, • Prior experience in experimentation platforms or A/B testing environments is highly desirable, • Autonomy and accountability to serve as a point of contact for statistical methodologies within the team Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the ___. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is ___. Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

Machine Learning Specialist III Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us. The Search AI team is part of Expedia Product & Technology. We build state-of-the-art machine learning models that power search and ranking across Expedia Group, helping travelers find the right place to stay from millions of options worldwide. We are looking for a Machine Learning Scientist III to join our Search AI team and help shape the next generation of ranking systems. You’ll be working on cutting-edge applications of Large Language Models (LLMs) and Generative AI, combining them with proven machine learning techniques to improve personalisation and traveler experience at scale. In this role, you will: • Research and design innovative ML and GenAI approaches for large-scale ranking and personalisation., • Build, test, and deploy ML models into production with performance validated through online experimentation., • Collaborate with engineers, analysts, and product partners to deliver robust, scalable, and business-driven solutions., • Translate complex technical results into clear insights and recommendations for both technical and non-technical audiences., • Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications: • Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience., • 4+ years of applied Machine Learning experience, with models built and maintained in a production environment., • High proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow., • A strong foundation in Machine Learning fundamentals, statistics, and experimentation. Preferred Qualifications: • Experience with ranking or recommender systems., • Experience with recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures., • Comfortable working with large-scale data and distributed systems (e.g., Spark)., • Effective communication skills and experience working across disciplines to solve complex problems Location expectations This role is based in London, in alignment with our flexible work model which requires employees to be in-office at least three days a week. Relocation assistance may be considered for qualified candidates.

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London. This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career-defining role. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: • Develop and deploy machine learning models, • Solve complex data problems in a big data environment, • Previous experience as a Data Scientist or Data Engineer, • Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib), • Experience in deep learning frameworks such as TensorFlow or PyTorch, • Knowledge of SQL and relational databases; experience with Big Data environments, • Familiarity with API development and NoSQL databases, • Understanding of CI/CD practices, AWS, and GIT, • Background in working to strict project deadlines, • Palantir experience is a bonus – full training will be provided if not, • Must have active SC or DV clearance, • Experience working on MOD, National Security, Defence, or Government projects is essential 🌳🌳🌳 Additional Information: • Location: Central London (must be willing to travel to office as required), • Clearance Required: SC or DV Clearance, • Type: Full-time, Permanent, • Start Date: ASAP Candidates must have security clearance - Ideally DV My client has just received a huge investment and is now in the position where they are looking to scale and expand their Data team. My client is interviewing this week so get in contact today to avoid disappointment. Areti Group – Carbon positive tech recruitment | 🌳🌳🌳 | We’re on a mission to put people and the planet before profit, leaving the world in a better place than we found it.

We are looking for a full-time Data Scientist/Machine Learning Engineer with experience in graph-based ML models to lead data pipeline and model development. We’re a small, ambitious team moving fast – and you’ll be a core part of shaping the future of our product and technology. Expect a flat

CK Group are recruiting for a Senior Scientist - Complex In Vitro Immunology to join a new lab in London embedded in one of Europe's leading life sciences venture ecosystems. This lab supports early-stage biotech companies developing and running complex in vitro assays that help guide real-world drug discovery. The role will be based in Kings Cross, London and is a permanent role with Mon-Fri day time working hours. The Role You’ll report to the Lab Head and play a central role in getting the lab operational. This is a hands-on position, but with a clear path to grow into a leadership role. Project management responsibilities will be a key part of this role and contribution to shaping new scientific directions that the company takes. The role is ideal for candidates with strong technical expertise in immunology or cell biology, ideally with significant research experience in an industry setting. You should be confident working with primary human immune cells and familiar with techniques such as flow cytometry or high-content imaging. What really sets this role apart is the opportunities you will have to understand how start-up biotech works from a very experienced team. You’ll be working alongside top-tier scientists, investors, and founders, providing exposure to an extensive network of brilliant researchers and leaders in the biotech industry. Responsibilities: • Develop complex cell assays to help understand drug mechanism of action, • Provide training and scientific support to junior lab members, • Project management, • Maintain high standards of record-keeping for delivery of data and reports to clients, • Establish medium/high throughput screening of novel drugs, • Excellent communication of data to external stakeholders Your Background: Essential: • Extensive knowledge of drug discovery and development process, • Significant post-graduate experience in an industrial or translational lab setting (pharma or biotech)., • Previous experience in human cell culture most preferably with human primary immune cells, • Direct practical knowledge of flow cytometry and/or microscopy/cell-imaging Desirable: • High throughput screening cell assay screening, • Some experience in biophysics-based screening techniques for example affinity measurements using BLI/SPR, • Project management experience Apply: It is essential all applicants hold entitlement to work in the UK. Please quote job reference 161 354 in all correspondence.

Role: Head of Engineering (hands on) Salary range: 100-150k Location: Central East London (x3 days per week onsite - Tues/Wed/Thurs) Tech stack includes: React, Angular, Typescript, NodeJS, NestJS, GCP, Python, PostgreSQL Current team size: x2 Engineers, x1 Data Scientist & x1 ML Engineer We're working with a SaaS startup company that helps brands actually see what’s working when they partner with creators. They mix playful audience feedback with campaign data to show how people really respond — giving teams the clarity they need to make smarter decisions next time. Reporting into the CEO directly, combination of hands on coding alongside managing the team, 50% hands on to start, with the view longer term to be flexible on becoming less if you desire. Essentials for this role: • Early stage startup experience e.g. founder engineer, ex founder or part of the journey early on., • Strong full stack Typescript experience - preferably backend lean., • At least a few years managing a team. Bonus: • Adtech / Martech experience, • Hands on experience with Data & ML No sponsorship available sorry!

If you feel like you don’t have all the necessary prerequisites but it’s what you'd like to grow into in your next position, we encourage you to apply ! ABOUT DESCARTES UNDERWRITING Descartes was born out of the conviction that the ever-increasing complexity of risks faced by corporations, governments and vulnerable communities calls for a renewed approach in insurance. Our team brings together industry veterans from the most renowned institutions (AXA, SCOR, Swiss Re, Marsh, Aon, ...) and scientists on top of their field to bring underwriting excellence. After 5 years of existence, Descartes has secured a leading position in parametric insurance for weather and climate-related risks utilizing machine learning, real-time monitoring from satellite imagery & IoT. After a successful Series B raise of $120M USD, we launched Descartes Insurance, a 'full stack' insurer licensed to underwrite risk by the French regulator ACPR. With a growing corporate client base (400+ and counting), our diverse team is headquartered in Paris and operates out of our 18 global offices in North America, Europe, Australia, Singapore and Japan. Descartes is trusted by a panel of A-rated (re)insurers to carry out its activities. ABOUT YOUR ROLE Due to rapid growth, we are seeking to expand our Data Science team and we are looking for Data Scientist Interns (end of studies) to be part of our team based in London. The Underwriting team takes action subsequently in modeling, structuring and pricing of parametric insurance covers to deliver insurance products to a worldwide based public sector and corporate clients in a few day to a year timeframe. These roles will allow you to gain knowledge of the insurance industry and the emerging risks (natural catastrophes, cyber…), all while collaborating closely with other internal teams (Software, Operations, Legal and Commercial) and our external partners. At the core of our company’s strategy, your missions will focus on : • Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients;, • Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction;, • Collaborating with the business team to understand client needs and issues to further improve our product offering;, • Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools);, • Working autonomously and pragmatically to make appropriate technical decisions with attention to details. Your missions will evolve in the future as Descartes is growing fast and many exciting projects are waiting for you. It's a unique opportunity to take a closer look inside a fast-growing scale up with huge ambitions ABOUT YOU EXPERIENCE & QUALIFICATIONS • Student from academic institutions, universities or engineering schools with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business;, • Keen interest in climate related topics;, • Highly skilled in statistics, probabilities, applied mathematics and machine learning methods;, • Eye for quality and attention to detail;, • Fluency in English (written and verbal communication) is required;, • Proficiency in Python (e.g. pandas, scikit-learn);, • Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes etc);, • Excellent team player able to work under pressure and respect deadlines;, • Strong desire to learn and commitment to the organization’s mission;, • Results oriented, high energy, with the ability to work in a dynamic and multi-cultural environment;, • Motivated to help improving businesses’ and communities’ resilience to climate change. WHY JOIN DESCARTES UNDERWRITING ? • Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence;, • Work in a collaborative & professional environment ;, • Be part of an international team, passionate about diversity ;, • Join a company with a true purpose – help us help our clients be more resilient towards climate risks; With equal skills, all our positions are open to people with disabilities. RECRUITMENT PROCESS • Step 1: HR Interview with our Talent Recruiter, • Step 2: At home technical online test (Github repository), • Step 3: Remote technical interview with a Data Scientist, • Step 4: In-person team interview to meet our team and discover our offices (held remotely if you are abroad)

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. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed a

Areti is currently seeking five Senior Data Scientists/Analysts to join one of the UK’s fastest-growing Series A-funded tech startups based in London. This is an exciting opportunity to be part of a dynamic, mission-driven company working on high-impact Defence and Government projects. Extensive training provided – including Palantir – making this a career-defining role. 🌳🌳🌳 The Role: You will work within a tight-knit, agile team tackling real-world problems using cutting-edge data science and engineering techniques. Key Responsibilities: • Develop and deploy machine learning models, • Solve complex data problems in a big data environment, • Previous experience as a Data Scientist or Data Engineer, • Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib), • Experience in deep learning frameworks such as TensorFlow or PyTorch, • Knowledge of SQL and relational databases; experience with Big Data environments, • Familiarity with API development and NoSQL databases, • Understanding of CI/CD practices, AWS, and GIT, • Background in working to strict project deadlines, • Palantir experience is a bonus – full training will be provided if not, • Must have active SC or DV clearance, • Experience working on MOD, National Security, Defence, or Government projects is essential 🌳🌳🌳 Additional Information: • Location: Central London (must be willing to travel to office as required), • Clearance Required: SC or DV Clearance, • Type: Full-time, Permanent, • Start Date: ASAP Candidates must have security clearance - Ideally DV My client has just received a huge investment and is now in the position where they are looking to scale and expand their Data team. My client is interviewing this week so get in contact today to avoid disappointment. Areti Group – Carbon positive tech recruitment | 🌳🌳🌳 | We’re on a mission to put people and the planet before profit, leaving the world in a better place than we found it.

🌍 Data Scientist – Climate & Energy Tech | London (Hybrid) Are you a Data Scientist who loves seeing your work in production? A fast-growing startup is building the software backbone of a decarbonised energy future — and they’re looking for someone who wants to use data and code to make a tangible impact. Their platform intelligently shifts energy use to when electricity is cleaner and cheaper, controlling EV charging, heating systems, and home batteries. Behind the scenes, their machine learning models forecast demand and manage tens of thousands of energy assets in real time. Backed by top investors and growing fast, this is a rare chance to: ⚡ Take high ownership and help shape a collaborative, engineering-first culture 🧠 Tackle hard technical problems with both commercial and environmental impact 💬 Be directly involved in product and engineering decisions What you’ll do: • Write production-grade Python code and ship fast, • Design and deploy models for prediction and real-time optimisation, • Collaborate cross-functionally — from Figma prototypes to live deployments If you’re ready to use data science to fight climate change while building cutting-edge tech, this is the role for you. 👉 Apply now and be part of the energy transition.

Job Position: Graduate Data Analyst – via the Graduate Development Programme Locations: London Starting Salary: £28,000 Application Requirements: Minimum 2:1 or above in a STEM (Science, Technology, Engineering, and Math) subject Experience in analysing data. Right to work in the UK unsponsored for the duration of the programme. Ability to work on site 5 days a week. Grayce is not on the UK Border Agency's Sponsor Register and is unable to sponsor work visas for international applicants. Are you a curious, adaptable, and proactive problem solver with strong communication skills and a drive to make an impact? At Grayce, we’re looking for ambitious graduates who are eager to learn, take ownership and build meaningful relationships while delivering excellence. If you have a keen attention to detail and accuracy, a knack for spotting trends and patterns and the ability to tell a compelling story using data, you’ll thrive in our environment. We value resourcefulness, resilience, and a passion for driving change. Join us and be part of a community that cares, collaborates, and thrives together. Understanding the types of roles available to a Graduate Digital Analyst: Data Analyst: Kick-start your career as a Data Analyst, where you’ll transform complex data into actionable insights, create dynamic visualisations and drive business decisions. You’ll work with cutting-edge tools, collaborate with stakeholders, and develop automated reports and dashboards, all while refining your technical expertise and problem-solving skills in a fast-paced environment. Data Engineer: Launch your career as a Data Engineer, where you’ll design and maintain data pipelines, integrate multiple data sources, and ensure data quality in a cloud-based environment. You’ll write clean, testable code, automate data transformation processes, and collaborate with teams to build scalable, high-quality data solutions that drive business insights. Data Scientist: Working as a Data Science Analyst, you'll support quantitative research and management teams by delivering high-quality data models and exploratory analysis. You'll leverage your analytical skills to extract insights from complex datasets, build robust data pipelines, and collaborate across teams to drive data-driven initiatives that enhance data ecosystems. Why Grayce? We specialise in driving change and transformation for some of the world’s most ambitious organisations and for over a decade, we've partnered with FTSE 100 and 250 companies to deliver impactful results by developing and deploying high-performing talent in the UK and beyond. Our accelerated development programme is designed to launch the careers of recent graduates eager to make an impact. We offer a fast-track route to expertise, allowing you to gain hands-on experience with one of our impressive clients in a variety of flexible roles. Opportunity: You'll embark on a journey of continuous learning, gaining industry-accredited qualifications, whilst getting hands-on experience, working full time on site directly with prestigious FTSE100, 250, and 500 organisations. Delivery: Typically will work for one client, delivering high quality outcomes during your Grayce tenure. The skills required for exceptional client delivery include natural curiosity, proactivity, adaptability, effective communication and problem solving. Mentoring : Thrive under the guidance of our experienced Delivery Managers and Technical Trainers. They’ll be your go-to, offering support, insights and sharing experiences. Progression : Starting as an Analyst with the potential for significant salary progression, you will pick up invaluable skills and complete a minimum of 6 industry recognised accreditations during your time on the development programme. What makes a great Grayce Analyst 2:1 Undergraduate Degree: An undergraduate degree with a minimum 2:1 within in a STEM field. A solid academic basis within data analysis and science through an additional MSc would be an advantage. Data Tools: Previous experience with tools such as Excel, R, SQL or Python are an essential for this role. If you have utilised visualisation programmes such as Tableau or Power BI in projects before, we are also keen to hear from you. Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether it's dissecting complex issues or finding fresh angles, we highly value critical thinking skills and their application. Soft Skills: From effective communication styles to planning, organisation and a learning development mindset, Grayce is committed to building core consultancy skills. Stakeholder and time management are core skills we utilise every day and we look for examples of those through our interview process. Why work for us? Competitive Salary: Starting at £28,000 with potential for significant growth. Industry Recognition: We help you embark on your journey with fully funded, industry-recognised qualifications designed to maximise your experience and put you in control of your career. Mentors and Coaches: Access a network of mentors and coaches dedicated to you, your experiences and development at Grayce. Wellness Support: We are here for you 24/7 with our Employee Assistance Programme, offering confidential assistance ranging from financial and legal support to health and wellbeing.

Ready to build the future with AI? At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook. Inviting Applications for the role of Senior Principal Consultant – Azure AI Engineer / Lead In this role, we are seeking a highly skilled and passionate Azure AI Engineer / Lead to join our dynamic Cora Sequence team. In this role, you will be instrumental in designing, developing, deploying, and managing AI/ML solutions on the Microsoft Azure platform. You will work closely with data scientists, researchers, and product managers to translate complex analytical models into production-ready, scalable applications. Your expertise in Azure AI services, MLOps, and data engineering will be crucial in delivering high-impact AI capabilities. Responsibilities • Design & Development: Architect and develop end-to-end AI/ML solutions using Azure AI services (e.g., Azure Machine Learning, Azure Cognitive Services, Azure Databricks, Azure Synapse Analytics)., • Model Deployment & Management: Implement robust MLOps practices for continuous integration, continuous delivery (CI/CD), monitoring, and retraining of machine learning models in Azure., • Data Pipelining: Build and optimize scalable data pipelines for ingesting, transforming, and preparing large datasets for AI model training and inference., • Performance Optimization: Optimize AI models and their serving infrastructure for performance, cost-efficiency, and scalability., • Collaboration: Work collaboratively with data scientists to operationalize models, provide feedback on model design for production readiness, and ensure seamless integration with existing systems., • Troubleshooting & Support: Diagnose and resolve issues related to AI/ML deployments, data pipelines, and Azure infrastructure., • Security & Compliance: Ensure AI solutions adhere to best practices for data security, privacy, and compliance within the Azure ecosystem., • Documentation: Create comprehensive documentation for AI solution architectures, deployment procedures, and operational guidelines., • Stay Current: Keep abreast of the latest advancements in Azure AI services, machine learning technologies, and MLOps trends. Qualifications we seek in you! Minimum Qualifications • Bachelor's or master’s degree in computer science, Engineering, Data Science, or a related quantitative field., • Relevant years of experience in developing and deploying AI/ML solutions, with a strong focus on Microsoft Azure., • Proficiency in Python and experience with relevant AI/ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras)., • Demonstrated experience with Azure Machine Learning, including MLOps concepts, model registration, deployment (AKS, ACI), and monitoring., • Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Data Factory, Azure Databricks, or Azure Synapse Analytics., • Solid understanding of software engineering principles, including version control (Git), testing, and code review., • Experience with containerization technologies (Docker, Kubernetes)., • Strong problem-solving skills and the ability to work independently and as part of a team., • Excellent communication and interpersonal skills. Preferred Qualifications/ Skills • Azure certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate)., • Experience with Azure Cognitive Services (e.g., Language, Vision, Speech) or Azure Bot Service., • Familiarity with streaming data processing frameworks (e.g., Apache Kafka, Azure Event Hubs, Azure Stream Analytics)., • Experience with CI/CD pipelines (e.g., Azure DevOps, GitHub Actions)., • Understanding of distributed computing concepts and big data technologies., • Prior experience with sequential data processing, time-series analysis, or natural language processing (NLP). Why join Genpact? • Lead AI-first transformation – Build and scale AI solutions that redefine industries, • Make an impact – Drive change for global enterprises and solve business challenges that matter, • Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills, • Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace, • Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build, • Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up. Let’s build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment or training.

• Build models across credit, insurance, pricing, and more., • Leading model development from the ground up to drive business impact., • A great next step for a data scientist who thrives in the modelling space. We’re looking for a commercially minded Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact! What you’ll be doing This role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments. As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated. This role is also a chance to work on variations of risk, you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more. You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you? Apply now! What experience you’ll need • Strong background in risk modelling and using these insights to inform business decisions, • Proven experience building risk models from scratch and enhancing existing ones, • Excellent skills in R, Python, or SAS, • Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes, • Ability to present to stakeholders and translate risk issues into business applications, • Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.), • Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling What you’ll get in return Up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time. What’s next? Apply with your CV, and we’ll be in touch to arrange a conversation if it’s a good fit! Got questions? Drop Tegan a message.

Meridian Life Science, (Life Science division) of Meridian Bioscience is a developer and manufacturer of raw materials for both immuno and molecular diagnostics applications. Our approach to new product development is to enable our customers with new technical capabilities while ensuring market leading performance through a large portfolio of antigens, antibodies, blockers, molecular enzymes, nucleotides, and optimized mixes for various nucleic acids amplification technologies. We are looking for a talented and passionate Senior Scientist to join the R&D team and help us drive our vision. Our diverse and proactive culture will allow successful candidates to discover and create cutting edge solutions. The Senior Scientist will take part to Meridian’s new product development efforts, focusing on expanding the molecular products portfolio. The position holder will lead the technical development of new molecular reagents and associated methodologies, while working according to ISO 13485 standards. The role may provide on a project need basis supervision for other team members, planning and coordinating various experimental work and troubleshooting. Duties and Responsibilities • Assist the R&D Manager/Team Leader on a variety of scientific projects, including new product development, assay design, data generation and troubleshooting., • Lead the technical development of new products, being responsible of product design, experimental project planning and execution and communication of findings and progress to different stakeholders., • Design, develop, and verify designs for a wide range of molecular biology reagents, including PCR, isothermal amplification, and Next Generation Sequencing applications., • Establish and disseminate technical knowledge and good laboratory practices in the group., • Work to ISO13485 standards and understand their requirements., • Independent planning, execution and troubleshooting of experiments., • Write literature to support product launches., • Keep accurate laboratory records., • Assist with customers’ technical support activities., • Hands-on experience in designing assays or enzymatic reactions using molecular biology technologies (e.g. end-point PCR, real-time PCR, LAMP, NGS), • Experience in protein chemistry (protein design, expression, purification), • Demonstrated expertise in protein characterization (biochemical and/or functional), • Good understanding of chemical principles involved in buffers, stabilizers, enhancers, fluorescent chemistry etc. used with commercial enzymes and enzymes mixtures., • Excellent written and oral communication skills and ability to interact effectively with an interdisciplinary group. Desirable: Hands-on experience with Design of Experiments or similar methodologies. Experience in NGS wet chemistry development or workflow optimization. Experience in molecular diagnostics assay development and optimization. Knowledge and experience with lyophilization processes. Experience in carrying out scientific activities within Quality Systems. Education or Equivalent Experience. • A PhD or equivalent in Protein Biochemistry, Molecular Biology or equivalent in Life Science or Chemistry, • 3+ years of experience in industry or equivalent in an active research laboratory. Required: • Demonstrated capability to drive efficiently scientific project to success., • Project management., • Problem-solving skills and ability to adapt quickly to changes

Locum Biomedical Scientists required in Liverpool We are seeking dedicated Biomedical Scientists to join the MedicsPro Team! The successful candidates will play a crucial role in ensuring the smooth operation of laboratory activities at one of our clients' busy NHS Hospitals in Liverpool. Key Responsibilities: • Perform, interpret, and validate a wide range of investigations in line with laboratory, • protocols., • Operate and maintain complex laboratory equipment, ensuring compliance with quality, • standards and Health & Safety policies., • Contribute to the training, mentoring, and supervision of junior staff., • Support the implementation of new techniques, procedures, and service improvements., • Accurately record, analyse, and report results using LIMS and other relevant systems., • Participate in Rota duties, including out-of-hours, weekends, and bank holidays as required. Qualifications: • HCPC registration as a Biomedical Scientist., • Strong experience in molecular biology techniques, including nucleic acid extraction, nucleic, • acid sequencing NGS and PCR/qPCR., • Ability to work independently and as part of a multidisciplinary team., • Excellent communication, analytical, and problem-solving skills., • Previous NHS experience in a laboratory setting, • Familiarity with laboratory information management systems is advantageous., • Strong analytical skills with the ability to interpret data effectively., • Excellent attention to detail and organisational skills., • Ability to work collaboratively within a team environment while also being self-motivated. Job Types: Full-Time, Temporary Contract length: 12 months About MedicsPro Radiography Agency: MedicsPro Radiography Agency is one of the UK's leading specialist locum AHP Recruitment Agencies, contracted to supply locums to public and private hospitals throughout the country. We are a contracted Framework supplier with access to dozens of live Ultrasound Jobs on a daily basis. For more information regarding MedicsPro vacancies, please do not hesitate to contact our team on 0208 506 6011 Email us directly with your CV:

• Build models across credit, insurance, pricing, and more., • Leading model development from the ground up to drive business impact., • A great next step for a data scientist who thrives in the modelling space. We’re looking for a commercially minded Senior Data Scientist with a passion for building risk models. If you’re the kind of data scientist who doesn’t just tweak existing models but creates them from scratch, this is your chance to make a real impact! What you’ll be doing This role is all about risk (we can’t stress that enough!). We’re looking for someone technically strong (likely a data scientist or similar) with a proven background in modelling risk across different environments. As part of a specialist Risk Modelling Team, you’ll operate in a collaborative, matrix-style environment. Your work will include model development, enhancement, and forecasting, ensuring outputs are accurate, robust, and clearly communicated. This role is also a chance to work on variations of risk, you’ll model across multiple areas and projects, outside of a highly regulated environment. They need someone adaptable, curious, and genuinely passionate about risk modelling. Your projects could include insurance risk, asset risk, financial risk, pricing risk, credit risk, climate risk and more. You’ll thrive on building and enhancing models from the ground up, bridging the gap between complex statistical techniques and clear, actionable insights for stakeholders. You’ll work closely with senior leaders, collaborate across functions, and play a key role in strategic projects. Sound like you? Apply now! What experience you’ll need • Strong background in risk modelling and using these insights to inform business decisions, • Proven experience building risk models from scratch and enhancing existing ones, • Excellent skills in R, Python, or SAS, • Experience leading complex model updates (both operational enhancements and full development projects) with clear communication of outcomes, • Ability to present to stakeholders and translate risk issues into business applications, • Exposure to multiple risk types (insurance, pricing, climate, asset, credit, etc.), • Desirable: Industry experience in finance, automotive, or similar sectors, plus exposure to advanced techniques like machine learning or predictive modelling What you’ll get in return Up to £90,000 plus a 20%+ bonus, alongside a comprehensive benefits package. You’ll work from the London office three days per week, with flexibility to work remotely the rest of the time. What’s next? Apply with your CV, and we’ll be in touch to arrange a conversation if it’s a good fit! Got questions? Drop Tegan a message.

BrainStation is currently seeking a full-time Associate Educator to be part of our dynamic team delivering lessons for our Data Science program. Data Scientist or Analytics professional and a Bachelor’s degree relevant to the subject matter.

Design Director - PR Agency (Part-Time, 3 Days per Week). We’re looking for a Design Director to join an award-winning integrated communications agency on a part-time (3 days per week), 12-month fixed term contract.

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. Note: This position is for part-time employment with a fixed-term contract. Work with a range of different

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Ready to start earning in data?.

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included \n \n \n Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online traini

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training

Data Analyst Course Programme Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Complete this 10-week online training