Remote Data Scientist Jobs

Are you looking to benefit from a new career in Data Analysis?If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data AnalystWe do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis.Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles.Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners.Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts:

Junior Data Analyst - £30,000

Data Analyst - £50,000

Business Data Analyst - £67,500

Data Analytics Analyst - £80,000

Business Analysts - £60,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis.The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector.Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below.Step 1 - CompTIA Data+ QualificationThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam.The course is provided online and comes complete with exam simulators and revision tools.You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam.This qualification will set you on a route to becoming a data analyst.Step 2 - Data Administration TrainingData is extracted using various method which are normally IT driven.Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst.

Microsoft excel - to expert level.

Learn SQL - the programming language used for extracting data from more complex databases.

Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.

Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam.Step 3 - Business Analysis FoundationBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT).Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam.Step 4 - Recruitment SupportNow you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have.We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot.Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector.They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need.Our money back guaranteeIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.Check our testimonials from the hundreds of candidates we have already helped.What Now?To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Artificial Intelligence is used in every industry and as artificial intelligence requires data to operate there is now a massive growing demand for Data experts.If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future within Data Science.We use our specialised Data Science Career programme which looks to assist, train and place qualified candidates into a career pathway in Data Science.Our career program is designed for entry level individuals with limited or no experience. Please do not apply if you are already an experienced Data Analyst as we will be looking primarily at entry level roles.Demand for candidates who are experts in working with Data and AI has grown 20% year on year with salaries of £50k+. Business decisions rely on data to ensure correct business decisions are made and the role of the data analyst in the new digital world is now essential for business owners.Current average salaries in the sector for lower-level positions and fully trained Data Experts:

Junior Data Analyst - £30,000

Data Analyst - £50,000

Business Analysts - £60,000

Data Scientist - £65,000

Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Science.Courses have been identified by our recruitment partners as industry standards for the Data Analysis sector.Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers.Working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks.Step 1 - Data Administration TrainingData is extracted using various method which are normally IT driven.We provide you with access to the following courses to ensure you are employable as a data analyst.

Microsoft excel - to expert level.

Learn SQL - the programming language used for extracting data from more complex databases.

Learn Python 3 - Python 3 is a simple to use programming language used by many analysts.

Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend.

Study time for these courses is approx. 30-60 hours and qualification is through completion of the course with no exam.Step 2 - CompTIA Data+ QualificationThe first step is completing the CompTIA Data+ Qualification accredited by CompTIA.This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data.Study time for the qualification is approximately 30 hours and qualification achieved by completing a 1-hour exam.The course is online and comes complete with exam simulators and revision tools.You will have access to a tutor and a 1-hour online revision workshop prior to your exam.This qualification sets you on course to becoming a data analyst.Step 3 - Business Analysis FoundationBusiness Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa.A Business Analyst Foundation certificate will make you more employable and enable you to cross over into Business Analyst roles. Business Analysis Foundation accredited by the BCS.Study time is around 15 hours, and qualification is achieved by online exam.Step 4 - Recruitment SupportNow you are qualified for an entry level Data Analyst position our recruitment support team will begin working with you to help you secure your first role based on your new qualifications and any other experience.We are industry pioneers helping candidates build careers since 2007 with a 4.8 Trustscore on Trustpilot.Our Recruitment Support team will help you with job applications, interviews and provide a full cv review based on your new qualification and written to maximise your chances of obtaining a role.They will provide you with guidance as to roles most suitable for you. This will include mock job interviews as well as any help you feel you need.Step 5 - CompTIA Data X QualificationOnce you have started working in an entry level role, you will now complete the CompTIA Data X qualification. This in an advanced Data Science qualification designed to lift your career the that of a Data Scientist.This builds on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately.Step 5 is not a requirement for our job guarantee as this stage is designed to advance your data career to the next level.Our money back guaranteeIf after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams.However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months.Check out our testimonials.What Now?To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front.Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

Trainee AI Programmer

Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today.Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.Train online at your own pace and land your first AI Engineer role in 1-3 months.Please note this is a training course and fees applyJob guaranteed - complete the programme and get a job or get your money back.Our candidates earn £28,000-£45,000.Why AI?AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.How It WorksStep 1 – AI Engineering FundamentalsStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.Step 2 – Data FundamentalsUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.Step 3 – Notebooks & IDEsGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.Step 4 – Python ProgrammingMaster Python, covering everything from the basics to object-oriented programming (OOP).Step 5 – Python Streamlit ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.Step 8 – AI Prompt EngineeringMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.Step 9 – Retrieval-Augmented Generation (RAG)Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.Step 10 – AI Specialised Customer Service Chatbot ProjectCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.Step 11 – Machine Learning FundamentalsUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.Step 12 – Machine Learning ProjectPut your machine learning knowledge into practice with a hands-on project.Step 13 – AI & Data EthicsStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.Step 14 – Oral ExamComplete a virtual oral exam to assess your understanding and ability to apply your learning.Step 15 – AWS Certified Cloud PractitionerFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.What You Get· 100% online, self-paced training· Microsoft AI-900 certification included· 1-to-1 tutor and recruitment support· Real-world project experience· Job guarantee – get a job or your money back· Starting salary of £28,000–£45,000We Get You HiredWe’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in LondonReady to Start?If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Trainee AI Engineer – No Experience NeededFuture-proof your career in Artificial Intelligence – starting today.Looking for a career change? Currently employed but want something better? Or maybe you’re between jobs and ready for a fresh start? ITOL Recruit’s AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required.Train online at your own pace and land your first AI Engineer role in 1-3 months.Please note this is a training course and fees applyJob guaranteed - complete the programme and get a job or get your money back.Our candidates earn £28,000-£45,000.Why AI?AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals.The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security.How It WorksStep 1 – AI Engineering FundamentalsStart with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering.Step 2 – Data FundamentalsUnderstand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications.Step 3 – Notebooks & IDEsGet hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems.Step 4 – Python ProgrammingMaster Python, covering everything from the basics to object-oriented programming (OOP).Step 5 – Python Streamlit ProjectApply your Python skills by building a car price prediction app using Python and Streamlit.Step 6 – Python for DataLearn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation.Step 7 – AI Sentiment Analysis ProjectWork with Hugging Face to build a sentiment analysis classifier using real-world AI techniques.Step 8 – AI Prompt EngineeringMaster prompt engineering, learning how to craft effective prompts for controlling AI outputs.Step 9 – Retrieval-Augmented Generation (RAG)Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases.Step 10 – AI Specialised Customer Service Chatbot ProjectCombine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases.Step 11 – Machine Learning FundamentalsUnderstand machine learning principles and algorithms, and how to train and test models using scikit-learn.Step 12 – Machine Learning ProjectPut your machine learning knowledge into practice with a hands-on project.Step 13 – AI & Data EthicsStudy the ethical considerations in AI, including issues of bias, fairness, and data privacy.Step 14 – Oral ExamComplete a virtual oral exam to assess your understanding and ability to apply your learning.Step 15 – AWS Certified Cloud PractitionerFinish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge.What You Get· 100% online, self-paced training· Microsoft AI-900 certification included· 1-to-1 tutor and recruitment support· Real-world project experience· Job guarantee – get a job or your money back· Starting salary of £28,000–£45,000We Get You HiredWe’re not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles.Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you.We don’t believe in empty promises. Complete our programme, follow the process, and if you don’t land a job, you get your money back.“Five months from complete beginner to AI engineer. Best decision I ever made.” – Jamie W., now working as a Junior AI Engineer in LondonReady to Start?If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of.Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps.

Are you ready to start a new career in AI Engineering?AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000.In today’s digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.Your journey to a new career in Artificial Intelligence is just 130 hours and three simple steps away.Newto Training can support you at any stage of your career journey whether you’re new to the industry or looking to exchange your skills, this Artificial Intelligence course is designed to get you job-ready.Step One:Study key data methodologies: AI Fundamentals, Python, Working with AI Models, AI Engineering for Developers, Developing AI Applications all alongside real-world project work to harness the power and understanding of these technologiesStep Two:Study and take your three AI and data certifications: Azure AI Fundamentals, Azure Data Fundamentals and Designing & Implementing Azure AI Solutions.Step Three:Now that you’re qualified for an entry-level AI or data position paying up to £35,000 per Year. Our recruitment support team will begin working with you to help secure a role that suits your new qualifications and any other experience you bring.Course cost - £1495, or, £124.58 per monthWe guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.Click 'Apply Now’ to begin your new data career!

Junior Data Scientist

Are you ready to start a new career in Data Analysis?The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.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-led online classroom training

Real-world Data Analyst project work & live labs to boost your CV

Exam & interview preparation

Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per monthWe guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.Click 'Apply Now’ to begin your new data career!

Data Analyst Trainee - job guarantee

Are you ready to start a new career in Data Analysis?The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.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-led online classroom training

Real-world Data Analyst project work & live labs to boost your CV

Exam & interview preparation

Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per monthWe guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.Click 'Apply Now’ to begin your new data career!

Data Analyst - No experience needed - job guarantee

Are you ready to start a new career in Data Analysis?The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.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-led online classroom training

Real-world Data Analyst project work & live labs to boost your CV

Exam & interview preparation

Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per monthWe guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.Click 'Apply Now’ to begin your new data career!

Data Engineer - no experience necessary

Are you ready to start a new career in Data Analysis?The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.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-led online classroom training

Real-world Data Analyst project work & live labs to boost your CV

Exam & interview preparation

Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per monthWe guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.Click 'Apply Now’ to begin your new data career!

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Data Scientist:We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models.Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.Perform data cleaning, feature engineering, and exploratory data analysis (EDA).Build and manage data pipelines and model training workflows.Deploy models into production and monitor performance.Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.Conduct model evaluation, A/B testing, and performance tuning.Document models, experiments, and technical processes.Required Skills & QualificationsClassic Machine learning (Regression, predictive Analysis, Classification, Clustering)Machine learning Model OptimisationStrong proficiency in Python (NumPy, Pandas, Scikit-learn).Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.Experience in Natural Language Processing (NLP) and/or Computer Vision.Strong knowledge of Machine Learning algorithms and statistics.Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.Preferred SkillsExperience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).Cloud experience (AWS, Azure, or GCP).Experience building AI APIs and microservices.EducationBachelors or Masters degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)Soft SkillsStrong problem-solving and analytical thinkingExcellent communication and storytelling skillsAbility to work in fast-paced, cross-functional teams

Senior Environmental Data Scientist/Hydrologist

Focus Resourcing Group

Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026Shape the future of hydrology and climate resilience. Our client is offering an exciting opportunity for an ambitious, collaborative Environmental Data Scientist or Hydrologist to join our clients growing software development team in Wallingford. If you want to innovate, solve real-world water challenges, and influence national environmental tools, we’d love to hear from you. In this role you will play a key role in developing our hydrological methods, modelling tools, and national design-standard software. Working at the intersection of hydrology, data science, and software development, you’ll contribute to new methodologies, develop machine learning approaches, and support the scientific foundations of our products.You’ll help advance the science powering products such as:

Qube - our clients online water resources modelling platform, incorporating the CERF rainfall-runoff model.

FEH Flood Modelling Suite - ReFH2 and WINFAP5, the UK’s trusted flood estimation tools.

Your role:

Develop and manage hydrological methods for Qube.

Contribute to ReFH2 and WINFAP5 development.

Explore and implement machine learning enhancements to hydrological models.

Support scientific research and integrate findings into commercial software.

Work closely with regulators and users to ensure compliance, quality, and usability.

Required Skills & Experience

A good degree (2:1+) in a numerate discipline (Hydrology, Environmental Science, Civil Engineering, etc.).

Strong programming skills in Python and/or R.

Experience developing machine learning models for environmental or complex datasets.

Confidence working with spatial/temporal datasets (NetCDF, ASCII, etc.).

Excellent communication skills for both technical and non-technical audiences.

Demonstrable experience in hydrology or water-related environmental science.

A relevant postgraduate qualification is welcome but not essential.

What you can expect in year one:

Build deep expertise in Qube, CERF, and the FEH flood modelling suite.

Develop Python modules and apply ML methods to hydrological problems.

Become familiar with UK water environment regulatory frameworks.

Collaborate with leading UKCEH scientists and liaise with UK regulators.

Produce high-quality technical reports.

Begin your journey toward professional chartership (e.g., CIWEM).

Following your first year, opportunities include:

Influencing the strategic development of our software products.

Leading R&D projects as a Project Manager.

Helping develop client proposals.

Contributing to our strategic marketing and product development plans.

Benefits & CultureOur client is an employee-owned trust, who invests in their people and their wellbeing.

40+ days holiday (with buy/sell options).

Profit-share and tax-free bonuses through employee ownership.

Matched pension contributions (5-10%).

Health plan, Cycle to Work, Environment Day.

5 days training per year, plus support towards chartership.

Flexible working arrangements.

Financial support for professional memberships

Formal appraisal and personal development planning

Flexible working hours

High-quality IT infrastructure & personal computing budget

Fun annual staff events (axe throwing, escape rooms, and more)

Data Scientist:We are seeking a highly skilled Data Scientist AI to design, develop, and deploy advanced machine learning and artificial intelligence solutions. The ideal candidate will work on large datasets, build predictive models, and collaborate cross-functionally to deliver scalable, data-driven products.Key ResponsibilitiesDesign, develop, and optimize machine learning and deep learning models.Work on AI/ML projects including NLP, computer vision, recommendation systems, and generative AI.Perform data cleaning, feature engineering, and exploratory data analysis (EDA).Build and manage data pipelines and model training workflows.Deploy models into production and monitor performance.Collaborate with Product, Engineering, and Business teams to translate business problems into AI solutions.Conduct model evaluation, A/B testing, and performance tuning.Document models, experiments, and technical processes.Required Skills & QualificationsClassic Machine learning (Regression, predictive Analysis, Classification, Clustering)Machine learning Model OptimisationStrong proficiency in Python (NumPy, Pandas, Scikit-learn).Hands-on experience with Deep Learning frameworks: TensorFlow, PyTorch, or Keras.Experience in Natural Language Processing (NLP) and/or Computer Vision.Strong knowledge of Machine Learning algorithms and statistics.Experience with SQL/NoSQL databases and big data tools (Spark, Hadoop preferred).Experience with MLOps tools such as Docker, Kubernetes, CI/CD pipelines.Preferred SkillsExperience with LLMs / Generative AI (OpenAI, Hugging Face, LangChain).Cloud experience (AWS, Azure, or GCP).Experience building AI APIs and microservices.EducationBachelors or Masters degree in Computer Science, Data Science, AI, or a related field. (PhD preferred for advanced research roles)Soft SkillsStrong problem-solving and analytical thinkingExcellent communication and storytelling skillsAbility to work in fast-paced, cross-functional teamsTPBN1_UKTJ

Pricing Analyst

STAR ACTUARIAL FUTURES LIMITED

Are you a talented data scientist or pricing analyst, looking for your next career opportunity within a boutique, data-focused provider of GI insurance services?Then look no further!Star Actuarial is currently representing an exciting chance to develop and maintain statistical models to analyse pricing performance and total profitability.Monitoring and analysing competitive position, customer behaviour, claims performance and profitability, you will feed findings into recommendations for rating action and changes to pricing structures.In addition, you will establish and evaluate tests to assess the relative performance of competing pricing structures while analysing and monitoring competitor pricing activity.With the ability to analyse data to support decision-making, the successful candidate will be able to identify, investigate and explain data trends.Previous experience using analytical software and tools (e.g. Snowflake, Python, R, Power BI) also required.Previous experience in the insurance industry (car/travel) is preferred.Get in touch now for more information.

Spatial AI & ML Data Scientist (ArcGIS, Python)

10 Months (part-time)Remote£400 to £500 a day (Outside IR35)Currently looking for a Data Scientist to Design, build, and validate AI/ML models for geospatial products: Essential Skills

5+ years in AI/ML model development and predictive analytics

Strong spatial data science and GIS skills (QGIS, ArcGIS, Python GIS stack)

Proficient in PyTorch, YOLO, AWS/Azure

Experience with UK socio-environmental datasets (IMD, ONS, land use)

Ability to integrate models into offline/on-prem environments

Excellent communication and stakeholder management skills

Desirable Skills

Environmental risk modelling or urban analytics experience

Knowledge of geostatistics and spatial interpolation

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C’s, Privacy Policy and Disclaimers which can be found at hays.co.uk

SENIOR THREAT DETECTION ENGINEER

Secure Recruitment Ltd

Fully RemoteUp to £100,000 + Excellent Staff Bens + Share SchemeSECUREhas strategically partnered with a multi-award-winning, software-based organisation at the forefront of pre-emptive exposure management. As a market leader backed by significant venture funding, they expand offensive security capabilities, specifically around Threat Detection Engineering, in their mission of helping organisations understand how they could be compromised. Success in this position will enable the business to build Detection Strategies that Continuously Identify Real-World Exploitation, helping Fortune 500 Companies & Critical Infrastructure Providers outrun Real-World Threats in Real-TimeRole Overview:We’re looking to speak with an ambitious Senior Threat Detection Engineer to join us and expand our Client’s Offensive Security Capabilities, specifically around Threat Detection Engineering. You’ll own the Design, Implementation & Evolution of Detection Strategies that Identify Real-World Exploitation & Adversarial Behaviour across their Honeypot Network. Ideally based in the UK, you don’t need to tick every box - if you’re motivated to make an impact, read on.Skills & Experience of Threat Detection Engineer will include:

Strong Experience of working with Security Telemetry at Scale, including Detection Engineering, Threat Research, SOC, IR or Offensive Security roles

3 Years in Threat Detection, Threat Research or Threat Intelligence Engineering role with Demonstrable Ownership of Production Detections

Hands-On Experience working with Honeypot or Deception Data, Internet-Scale Telemetry or High-Noise Datasets

Strong Background in Threat & Vulnerability Intelligence including Vulnerability Lifecycles, Exploitation Timelines, Threat Actor Tradecraft & Frameworks such as MITRE ATT&CK

Strong Python Skills, with experience Building Detection Tooling, Parsers, Enrichment Pipelines or Internal Analysis Frameworks

Deep Familiarity with OpenSearch / ELK-Style Stacks including Querying, Aggregations, Pipelines & Detection Tuning

Experience working in an Early-Stage B2B Start-Up Focusing on Enterprise Clients

Responsibilities of Threat Detection Engineer includes:

Engineer High-Fidelity Detections for both N-Day & True 0-Day Exploitation by Translating Attacker Tradecraft, Payloads & Kill-Chain Behaviours into Durable Detection Logic

Continuously Improve Signal Quality by Reducing Noise, Validating Detections Against Live Attacker Activity & Tuning for Scale across Millions of Events Per Day

Build & Operate Detection Pipelines that Ingest, Normalise & Correlate Honeypot Telemetry, Vulnerability Intelligence & External Threat Data in near Real Time

Lead Rapid-Reaction Detection Efforts for Emerging Threats, working Cross-Functionally with Engineering, Research & Go-To-Market Teams to turn exploitation into Actionable Customer Insight quickly

Operationalise Threat Intelligence by Converting External Research, Advisories & POCs into Production-Grade Detections & Internal Knowledge Artifacts

Author Original Detection Research & Threat Reports, Documenting Adversary Behaviours, Exploitation Trends & Detection Methodology for Both Internal Stakeholders & External Publication

Mentor & Influence others by Setting Detection Standards, Reviewing Logic & Helping Shape How the Organisation approaches Threat Detection at Scale

AtSECURE,we value Attitude & Aptitude over Certifications. If you possess the drive and relevant experience to deliver tangible results aligned with our clients needs, reach out. We embraceDE&I and Welcome Applications from Underrepresented Groups, Minorities, Women in Cybersecurity, Neurodiverse Individuals, LGBTQ+ Community Members, Veterans, & those from Diverse Socioeconomic Backgrounds.Curious to Learn More about the company, culture, and purpose?

Lead Data Scientist - Drug Discovery

Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous, reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team.Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will:

Lead the development of original statistical models tailored to complex genomic data

Guide the integration of novel methods into pipelines

Ensure methodological transparency and reproducibility across all research outputs

Communicate the rationale and impact of new techniques to stakeholders and collaborators both internally and at clients

Align scientific innovation with engineering and product development goals

Work on projects to support drug discovery & development projects for a variety of clients within the pharmaceutical and biotech space

Represent the organisation in academic and industry forums, showcasing methodological breakthroughs

This is a permanent role that can be fully home based from anywhere in the UK.What you’ll need to succeed

A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus

A track record of developing statistical models for genomic / biological research, preferably within a target identification or target validation setting

Proven track record of innovation in statistical methodology, evidenced by publications, tools or project delivery

Advanced coding skills in a language such as R or python and experience with statistical computing environments

Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc

Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP)

The ability to communicate complex statistical ideas clearly

What you’ll get in return You’ll be joining a highly experienced team doing cutting-edge work to support drug discovery & development efforts at a wide range of pharmaceutical and biotech companies. As well as lots of opportunities to develop your skills and career, this role offers a good package and the chance to make a significant impact.What you need to do now If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career.Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development

Lead Data Scientist - Drug Discovery

Your new company This cutting-edge data science firm is driving transformation in life sciences through methodological excellence and innovation. Its research division is a hub for scientific exploration, where novel statistical techniques are developed to tackle some of the most pressing challenges in genomics and drug discovery. The organisation values intellectual curiosity, cross-disciplinary collaboration, and the pursuit of rigorous, reproducible science.They are looking for a Lead Data Scientist with a strong statistical methodology background to join their expanding team. Your new role As Lead Data Scientist, you will be a driving force behind the creation of new statistical methodologies. You will: Lead the development of original statistical models tailored to complex genomic data Guide the integration of novel methods into pipelines Ensure methodological transparency and reproducibility across all research outputs Communicate the rationale and impact of new techniques to stakeholders and collaborators both internally and at clients Align scientific innovation with engineering and product development goals Work on projects to support drug discovery & development projects for a variety of clients within the pharmaceutical and biotech space Represent the organisation in academic and industry forums, showcasing methodological breakthroughs This is a permanent role that can be fully home based from anywhere in the UK. What you’ll need to succeed A PhD (or equivalent experience) in statistics, maths, physics, data science, computing, statistical genetics or a related field with a strong methodological focus A track record of developing statistical models for genomic / biological research, preferably within a target identification or target validation setting Proven track record of innovation in statistical methodology, evidenced by publications, tools or project delivery Advanced coding skills in a language such as R or python and experience with statistical computing environments Deep expertise in methods such as GWAS, causal inference, polygenic risk scores, pathway analysis, Mendelian randomisation, etc Experience deploying methods in cloud-based infrastructures (AWS, Azure, GCP) The ability to communicate complex statistical ideas clearly What you’ll get in return You’ll be joining a highly experienced team doing cutting-edge work to support drug discovery & development efforts at a wide range of pharmaceutical and biotech companies. As well as lots of opportunities to develop your skills and career, this role offers a good package and the chance to make a significant impact. What you need to do now If you’re interested in this role, click ‘apply now’ to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Keywords: Statistical, Genetics, Bioinformatics, Genomics, Data, Scientist, Lead, Senior, GWAS, Polygenic, Risk, Score, Mendelian, Randomisation, Causal, Inference, Computational, Biology, Genetic, Epidemiology, Variant, Annotation, Pathway, Enrichment, Protein, Interaction, Networks, Biobank, Research, Modelling, Development TPBN1_UKTJ

Senior Data Scientist

This is an exciting time to join a team to help pioneer both customer’s and own an AI adoption journey. Not only will you be directly making a huge impact through the solutions you develop, youll be doing it for an organisation who makes a huge impact to the security of the UK.Core dutiesBeing a key technical point-of-contact for AI and data science expertise, sharing knowledge across meetings, bids and technical projects.Leading and working on technical AI projects, working with ML engineers, project managers and non-technical customers.Meeting with users to help scope out ongoing and future AI projects, understanding use-cases and planning out delivery plans which capture the subtleties of the requirements.Working alongside ML engineers to help build and deploy models into products across our AWS cloud servicesAssisting with writing bid responses to customer problems, often requiring diving into the literature surrounding complex technical concepts in AI, ML and statistics.Presenting results of technical work both internally and to our customers.Helping mentor and manage junior team members and graduates across the business.Helping to educate others across the business in AI and related methods through collaborative work (including software engineers, leadership, non-technical consultants) and presenting to wider communities via blogs, events and conferences.About YouBSc (or MSc / PhD) in a quantitative, scientific discipline (e.g. maths, physics, computer science or similar).Expert knowledge of AI, ML and statistical methods, and their application across some of the following domains (e.g. NLP, images, audio, graphs, time series, tabular data).Several years experience working as a data scientist in industry or similar environment.Good knowledge of python, along with common machine learning and data analysis libraries (e.g. pandas, numpy, scikit-learn, pytorch, transformers, statsmodels, pymc).Ability to absorb complex new scientific concepts and quickly get up to speed on new areas of the literature.Good understanding of software and ML engineering best-practices (e.g. git, package development, model deployment).Ability to present complex technical concepts to both technical and non-technical colleagues.Passion for good quality scientific work and a focus on truthfulness, robustness and customer/stakeholder requirements.Experience with utilising cloud services (e.g. AWS) for training and deploying models.Understanding of the ethical, privacy, security and policy concerns relevant to the application of AI/ML.It Would Be Great If You Also Had Experience In Some Of These, But If Not Well Help You With ThemGood knowledge of AWS cloud services (e.g. Lambda, ECS, Bedrock, S3, Sagemaker)ML Engineering and MLOps knowledge (e.g. Docker, ML flow)Experience working with government or other carefully regulated industriesTrack record of applying LLMs to robustly solve real problemsSecurity Clearance is required for this vacancy. If you are not currently Security Cleared, you will need to be eligible for this and willing to go through the process.How We Will Support YouWork-life balance is important; you can work around core hours with flexible and part-time workingYoull get 25 days holiday a year and the option to buy/sell and carry over from the year beforeOur flexible benefits package includes a competitive pension scheme, cycle to work scheme, taste cards and moreYoull have a dedicated Career Manager to help you develop your career and guide you on your journey through BAEYoull be part of our company bonus schemeYou are welcome to join any/all of our Diversity and Support groups. These groups cover everything from gender diversity to mental health and wellbeing.

Data Entry Clerk - no experience necessary - job guarantee

Are you ready to start a new career in Data Analysis?The demand for Data Analysts has grown by 20% annually, with experienced professionals earning salaries upwards of £58,000.In today’s digital world, data is critical to business decision-making, making the role of a Data Analyst indispensable. As skills shortages continue to grow, the demand for qualified entry-level professionals is on the rise.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-led online classroom training

Real-world Data Analyst project work & live labs to boost your CV

Exam & interview preparation

Job Guarantee with a salary up to £35,000

Course cost - £2495, or, £207.91 per monthWe guarantee you will be offered a job upon completion, or we will refund you 100% of your course fees.No prior industry experience is required - No matter your background, previous studies or work history - if you think you have the soft skills (communication skills, passion) needed then we can help you launch the career you want.Click 'Apply Now’ to begin your new data career!

Environmental Data Scientist/Hydrologist

Environmental Data Scientist / Hydrologist Wallingford, UK (remote options considered) £38,000 – £42,000 We are working with a fast-growing environmental consultancy that is seeking a Senior Environmental Data Scientist / Hydrologist to join its team in the Wallingford area. This position is ideal for someone who thrives in a collaborative scientific environment and wants to deepen their expertise in hydrological modelling, data analysis and environmental software development. Role Overview The successful candidate will join a multidisciplinary science and software team responsible for designing, improving and maintaining national hydrological modelling systems. These tools support key decisions relating to river behaviour, flood mitigation and long-term water management. A major focus of the role will be on enhancing a widely used water-resource modelling platform, along with contributing to updates of national flood-estimation tools. The position also involves exploring ways machine learning can be integrated into existing hydrological methods to improve accuracy and expand capability. Key Responsibilities • Develop and refine hydrological modelling methods for a national water-resources platform • Contribute to the enhancement of leading flood-estimation tools used across the UK • Research and apply machine learning techniques to hydrological datasets • Incorporate scientific findings into commercial software, including interface testing and usability improvements • Work closely with regulators, end users and technical specialists to ensure tools remain accurate, compliant and user-friendly • Support ongoing scientific research and translate outcomes into practical solutions Skills & Experience Required: • A good degree (2:1 or above) in a numerate or environmental discipline such as hydrology, earth sciences or civil engineering; postgraduate study is welcome but not essential • Strong programming capability in Python and/or R • Experience designing or applying machine learning models to environmental or geospatial data • Ability to process and analyse complex datasets such as spatial or time-series formats (e.g. NetCDF, ASCII) • Strong communication skills, able to explain technical concepts to both specialists and non-specialists • Demonstrated knowledge or experience in hydrology, water-environment work or related environmental science What the First Year Looks Like: During the first 12 months, the new team member will: • Build familiarity with the organisation’s hydrological modelling tools and software suite • Develop Python modules and apply ML approaches to real hydrological challenges • Gain an understanding of the UK’s regulatory framework for water and flood-risk activities • Collaborate with partner research institutions and engage with national regulators • Produce high-quality technical reports and documentation • Begin progressing toward professional chartership (e.g., CIWEM or equivalent) As experience grows, they will have opportunities to: • Contribute to long-term scientific and commercial development strategies • Identify innovative opportunities for new products, capabilities or modelling approaches • Lead elements of research and development projects • Support the preparation of client proposals Benefits & Culture: • Employee-ownership structure with tax-free profit-share bonuses • Additional performance-related bonus opportunities • Clear pay bands and transparent promotion pathways • Share-option opportunities for senior grades (subject to tenure) • Exceptional holiday allowance of over 40 days including buy/sell options • Pension scheme with employer contributions starting at 5% and increasing with service • Health-cash plan including virtual GP access, counselling support and routine healthcare cashback • Cycle-to-Work scheme • Annual volunteering day focused on environmental or educational projects • Structured appraisal process with tailored development plans • Up to five dedicated training days per year • Financial support for membership of professional bodies • Flexible working hours supported by robust IT provision • Individual tech budget for computing equipment • Regular staff events, team days and social activities If you are interested in this Senior Environmental Data Scientist / Hydrologist, please contact Callum via (url removed)

Data Engineer

Tenth Revolution Group

Data Engineer - Remote - Azure - Databricks - Up to £55k Join a rapidly growing Microsoft consultancy that’s redefining what’s possible with cloud data. This is your chance to work on innovative, enterprise-scale projects, build next‑gen data platforms, and help clients accelerate their transformation journeys. If you want to be at the cutting edge of Azure data engineering, this is the place to do it. What You’ll Be Doing Architect and deliver scalable solutions using Databricks, Synapse, and Microsoft Fabric Build & optimise ETL/ELT pipelines and robust data models using SQL & Python Create powerful, insight-driven Power BI dashboards Implement data lakes and medallion lakehouse architectures Champion data quality, governance, and security Collaborate in an Agile, cross-functional environment Drive cloud migrations and promote best practices across data engineering What’s In It for You Fast Growth & High-Impact Projects - Work on cutting-edge Microsoft cloud solutions Investment in You - Certifications, structured career development & continuous training Fully Remote - Home-based role with paid travel when needed 25 Days Holiday Life Assurance (4x salary) Enhanced Parental Leave What You’ll Bring Strong experience with Azure Synapse, Databricks, and/or Microsoft Fabric Expertise in ETL/ELT development using SQL & Python Experience working with data lakes and large datasets Solid understanding of BI and data warehousing concepts This is one of the most sought-after teams in the Microsoft data space, and roles here don’t stay open for long. If you want to be part of a high-growth consultancy delivering industry-defining cloud solutions, apply now before the opportunity is gone

Remote Data Scientist Jobs

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