Remote R Jobs

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 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!

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.

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

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Software Developer - Python Salary: £30,000–£60,000 (dependent on experience) Location: UK-based | 100% Remote Sector: Environmental / Infrastructure / Water The Opportunity We are working with a fast growing, financially secure and growing environmental consultancy that is expanding its in-house software capability. The business heavily invests in modern tools and technology to support both internal teams and external clients. This role sits at the intersection of software development and real-world environmental impact. You’ll be building practical, well-designed tools that support modelling, data analysis and decision-making across major infrastructure and environmental projects. If you enjoy solving real operational problems, working closely with domain experts and seeing your work used day-to-day… this role offers exactly that. What You’ll Be Doing As a Software Developer, you’ll work closely with modelling specialists and technical consultants to design, build and maintain software tools that improve efficiency and capability. Your responsibilities will include: * Developing internal tools to streamline modelling workflows and reduce manual effort * Automating data processing, reporting and scenario management * Building standalone, client-facing applications, from initial concept through to deployment * Creating and maintaining APIs and integrations to connect tools with client systems * Writing clean, testable, well-documented code that others can easily maintain * Translating user requirements from non-software specialists into effective technical solutions You’ll have genuine ownership over what you build, with the opportunity to influence how tools evolve over time. Technical Environment * Python as the primary development language * Ruby is desirable (but not essential) * Exposure to other languages or tools such as JavaScript/TypeScript, R, MATLAB, Java, or C++ is beneficial * APIs, automation, internal tooling and application development * Version control, testing and modern development practices What We’re Looking For * Strong Python development experience * Experience with at least one additional programming language * Experience building applications, APIs or automation tools * A good understanding of software architecture, testing and version control * The ability to work independently and communicate clearly with non-developers Most importantly, we’re looking for someone who is curious, proactive, and pragmatic and who enjoys building software that actually gets used. Why Join? * 100% remote role (UK-based) * Growing business with long-term investment in software and technology * Flat hierarchy and minimal bureaucracy, real access to decision-makers * Work that supports environmental outcomes and infrastructure resilience This is a great opportunity for a developer who wants stability without stagnation and meaningful work without startup chaos. Salary & Benefits * £30,000–£60,000 depending on experience * Fully remote working * Supportive, collaborative team environment * Long-term role with genuine career development

Trainee Data Entry Clerk - 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!

A Data Engineer is required to support the development and improvement of data pipelines within a Microsoft-based analytics environment. The role focuses on ingesting, transforming, and standardising data from multiple sources to enable reliable reporting and analytics. Key Technical Responsibilities * Design, build, and maintain data pipelines using SQL, Python, and R * Ingest and transform structured and semi-structured data within Microsoft Fabric * Improve data quality, performance, and reliability across existing pipelines * Prepare analytics-ready datasets optimised for Power BI consumption * Apply data modelling and transformation best practices * Identify and resolve data inconsistencies, missing data, and schema issues * Maintain documentation aligned to data governance standards Technical Requirements * Strong SQL for data transformation and modelling * Python experience for data processing and automation * Working knowledge of R in a data or analytics context * Hands-on experience with Microsoft Fabric or closely related Microsoft data platforms * Understanding of how engineered data supports Power BI reporting * Experience working with incomplete, inconsistent, or poorly structured data Desirable * Experience in regulated or data-intensive environments * Exposure to cloud-based Microsoft data technologies

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 Entry Clerk - 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!

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 & ExperienceA 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 membershipsFormal appraisal and personal development planningFlexible working hoursHigh-quality IT infrastructure & personal computing budgetFun annual staff events (axe throwing, escape rooms, and more)TPBN1_UKTJ

Senior Environmental Data Scientist/Hydrologist

Location: Wallingford, UK (Remote considered) Hours: Full-time (part-time considered) Closing Date: 9 January 2026 Shape 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 & Culture Our 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)

Remote R Jobs

Overview

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