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Looking for top R jobs? Discover the latest R programming careers on Haystack, the leading IT job board. Whether you're an R developer, data scientist, or analyst, find roles that match your skills in data analysis, statistical computing, and machine learning. Start your search today and take your R career to the next level!

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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.

IT Data Engineer

Liberty CL Recruitment

Job Title: IT Data Engineer Location: Southampton, Hampshire Salary: £40,000 - £50,000 Are you an experienced IT Data Engineer with experience in the professional services industry? If so, we may just have the perfect role for you! Role Overview: Based in Southampton, our client is a leading Law Firm looking to hire an IT Data Engineer to help aid their expansion plans. Your role will be structured around project and business support tasks, and feedback will be used to drive innovation and business growth. Although the role is primarily an IT Data Engineer, you will also need to be able to display BI Developer and strong Analytical skills and play a crucial role in designing, building, and maintaining our data pipelines using Microsoft Azure tools and platforms, as well as presenting information to the end user. Your responsibilities: Work with Microsoft Azure Technologies (e.g., Data Factory, Databricks, Synapse) to orchestrate data loading and workflows and manage data pipelines. Maintain, support, and build data warehouses using Azure SQL Technologies Collaborate with analysts, and business stakeholders to understand data requirements and translate them into technical solutions. Developing and implementing data validation and reconciliation processes to ensure data quality and consistency across the data platforms. Troubleshooting and resolving issues related to data transformation, data loading, and data quality, while proactively identifying opportunities for process optimisation and performance tuning. Contribute to the development, support and maintenance of reports and dashboards using Power BI. Troubleshoot and resolve data-related issues and provide support for data-related projects. Innovate on existing solutions and look to help maximise efficiency in the platform. The ideal candidate: Good understanding of SQL and relational databases. These are the key assets within our organisation. Familiarity with Microsoft Azure services (e.g., Azure SQL, Azure Synapse, Azure Databrick Understanding of data warehousing concepts and data architecture. Familiarity with any programming or scripting language (e.g., Python, R, JavaScript). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies What’s in it for you? 26 days’ holiday + buy up to a further 5 days A day off for your birthday Life assurance Employee assistance programme Enhanced maternity, adoption and paternity pay Private medical insurance Healthcare cash plan Annual discretionary bonus scheme Employee retail discounts If you would like to discuss this opportunity in more detail, please reach out to the team at Liberty Recruitment Group

IT Data Engineer

Liberty Recruitment Group

Job Title: IT Data EngineerLocation: Southampton, HampshireSalary: £40,000 - £50,000Are you an experienced IT Data Engineer with experience in the professional services industry? If so, we may just have the perfect role for you!Role Overview:Based in Southampton, our client is a leading Law Firm looking to hire an IT Data Engineer to help aid their expansion plans. Your role will be structured around project and business support tasks, and feedback will be used to drive innovation and business growth. Although the role is primarily an IT Data Engineer, you will also need to be able to display BI Developer and strong Analytical skills and play a crucial role in designing, building, and maintaining our data pipelines using Microsoft Azure tools and platforms, as well as presenting information to the end user.Your responsibilities:Work with Microsoft Azure Technologies (e.g., Data Factory, Databricks, Synapse) to orchestrate data loading and workflows and manage data pipelines.Maintain, support, and build data warehouses using Azure SQL TechnologiesCollaborate with analysts, and business stakeholders to understand data requirements and translate them into technical solutions.Developing and implementing data validation and reconciliation processes to ensure data quality and consistency across the data platforms.Troubleshooting and resolving issues related to data transformation, data loading, and data quality, while proactively identifying opportunities for process optimisation and performance tuning.Contribute to the development, support and maintenance of reports and dashboards using Power BI.Troubleshoot and resolve data-related issues and provide support for data-related projects.Innovate on existing solutions and look to help maximise efficiency in the platform.The ideal candidate:Good understanding of SQL and relational databases. These are the key assets within our organisation.Familiarity with Microsoft Azure services (e.g., Azure SQL, Azure Synapse, Azure Databrick Understanding of data warehousing concepts and data architecture.Familiarity with any programming or scripting language (e.g., Python, R, JavaScript).Strong analytical and problem-solving skills.Excellent communication and teamwork abilities.Eagerness to learn and adapt to new technologies and methodologiesWhats in it for you?26 days’ holiday + buy up to a further 5 daysA day off for your birthdayLife assuranceEmployee assistance programmeEnhanced maternity, adoption and paternity payPrivate medical insuranceHealthcare cash planAnnual discretionary bonus schemeEmployee retail discountsIf you would like to discuss this opportunity in more detail, please reach out to the team at Liberty Recruitment Group.TPBN1_UKTJ

£80,000 - 95,000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: PermanentManager - Data & AI (Palantir Focus) - UK Wide Salary: £80,000-£95,000 per year (dependent on experience) Working Model: Flexible / UK-wide with client travel (up to 60%)A leading global professional services firm is expanding its Data & AI practice and is seeking a Senior Manager to join its Palantir Centre of Excellence. This is a high-impact role for an experienced consultant or technologist, combining strategic advisory skills with hands-on implementation of Palantir Foundry-enabled solutions across complex client environments.Key responsibilities:

Lead the design, implementation, and governance of scalable data and AI solutions using Palantir Foundry to drive strategic transformation.

Collaborate with client CDOs, CIOs, and enterprise architects to develop enterprise data architectures and operational models.

Guide cross-functional teams, reviewing technical outputs, assessing delivery risks, and ensuring high-value outcomes.

Mentor and develop technical consultants, fostering high-performing, inclusive teams.

Identify new opportunities to enhance client value and grow the firm’s strategic alliance with Palantir.

Influence clients at executive levels, ensuring adoption of solutions and alignment with strategic goals.

Ideal candidate:

Extensive experience in data, analytics, engineering, or consulting, with a track record of delivering scalable, complex data solutions.

Hands-on knowledge of Palantir Foundry (Ontology, pipelines, apps, AIP); Palantir certifications desirable.

Proficiency in at least one coding language (e.g., Python/PySpark, R, Java, SQL, Typescript) and experience with object-oriented design or software engineering.

Strong understanding of data engineering, modelling, platform integration, UX design, and data visualisation.

Excellent communication, stakeholder management, and team leadership skills.

Experience across sectors such as Financial Services, Government, Healthcare, Energy, or Manufacturing.

Willingness to travel to client sites as required.

Benefits: Competitive salary, flexible working arrangements, private medical cover, access to a virtual GP, volunteering days, and opportunities to work on high-profile, transformative AI-led projects across industries.For further information feel free to reach me at 02895213213, or simply apply! Reference: AMC/RKIReference: AMC/RKI/Palantir Consultant2Postcode: SW1#riki

Principal Data Engineer

CV Technical are proud to be partnered with a leading UK data consultancy who are looking to grow their data engineering capabilities with a Senior Data Engineer on a permanent basis.You’ll have the opportunity to work across a variety of client engagements, create real business impact, and contribute to the growth of a fast-moving, close-knit consultancy.The Role:Manchester based with a hybrid working arrangement.You will work across a diverse portfolio of client assignments, delivering technical solutions that address a wide spectrum of data-related challenges and enabling organisations to make informed, data-driven decisions.In this position, you’ll design and implement advanced data systems and pipelines that meet clients’ needs with scalability and reliability in mind.You will also collaborate closely with both technical and business stakeholders, ensuring you fully understand their objectives and can translate their requirements into effective solutions.Essential Skills & Experience:UK Resident - Position requires Full Security ClearanceBachelors or Masters degree in a STEM subjectProgramming experience in Python, R, SQL, SASExperienced with DevOps processesExperienced working in regulated industriesExperienced on the Microsoft Azure stackExcellent stakeholder and communication skills.4+ years experience in data engineeringExperience mentoring or supporting more junior engineersExperience migrating between platforms.Experience with SAS tools and SAS administration.Agile Development and Deployment experienceAs this role is for a consultancy, travel across the UK to client sites may be required on occasion. Due to the nature of the projects, only candidates who have full working rights (no sponsorship offered) and those who can obtain full security clearance will be considered.Benefits:£40,000 - £60,000 base salary (dependant on experience)Company + Performance bonusExcellent company pension contributionPrivate healthcareLearning & Development budgetUK Remote - Occassional office travelInterviews are happening immediately, please apply directly to be considered.*Only candidates living in the UK and those who can obtain full security clearance are being considered*TPBN1_UKTJ

Senior Technical Analyst, Marketing & Reader Revenue

GUARDIAN NEWS AND MEDIA

Join our team at the Guardian and be a part of a diverse and inclusive global organisation that delivers fearless, investigative journalism, and holds power to account. Our team of award-winning journalists, cutting-edge commercial professionals, and industry-leading digital experts are committed to making a difference and represent a wide range of backgrounds and perspectives. We offer a challenging and exciting environment for career development, with a focus on training, growth and fostering an inclusive culture.We are now looking for a Senior Technical Analyst to join our Marketing & Reader Revenue (MRR) team. At the Guardian, analytics plays an important role in supporting strategic decisions through robust, high-quality analysis. The Senior Technical Analyst will be embedded within the department and focused on delivering practical, data-driven insights aligned to the Guardian’s priorities. The MRR team supports revenue and subscriptions growth through customer behaviour and marketing performance analysis.The team’s primary objective is to enable MRR and the associated Product and Engineering teams to be audience centric, data driven, and to deliver meaningful, actionable insights in response to long term trends. You’ll support subscription and revenue growth by analysing marketing performance, customer behaviour and retention strategies.About the Role

Develop and enhance analytics workflows and reporting processes that support day-to-day performance tracking, using tools such as SQL, Python, and Tableau to streamline data access and insight delivery.

Develop, refine, and own critical KPIs, with a particular focus on Lifetime Value (LTV), retention, churn, conversion, and acquisition efficiency—ensuring these are consistently measured and aligned with strategic goals.

Independently scope and deliver analytical projects from end to end: defining the problem, selecting appropriate methods, conducting in-depth analysis, and communicating results that support data-driven decision-making.

Translate complex datasets into clear, actionable insights, using tools like Tableau and strong written communication to create structured outputs that are easy to interpret and tailored to diverse audiences.

Ensure data quality and reporting accuracy across all BAU and project-based outputs through robust testing, documentation, and peer review processes.

Act as a trusted partner to stakeholders across MRR, advising on data best practices and how to effectively use analytics to drive decisions.

Build subject matter expertise in your focus area, such as content performance, advertising inventory, or reader behaviour—and share insights to elevate team and organisational understanding.

Foster strong cross-functional relationships with Product, Data Engineering, UX Research, and other teams to align analytics work with wider business objectives and improve data workflows.

Contribute to a high-performing, collaborative analytics culture, participating in peer reviews, sharing best practices, and supporting team-wide improvements in standards, documentation, and tooling.

About You

Demonstrated experience in data analytics including scoping, delivering, and communicating analytics projects that support department goals.

Strong experience in SQL and practical experience in Python (or R), including packages such as pandas for analysis.

Writes clean, well-documented code and follows good documentation/versioning practices.

Strong expertise in KPI development—particularly Lifetime Value (LTV), retention metrics, acquisition efficiency, and conversion tracking.

Applied knowledge of experimental testing (A/B and multivariate)

Skilled in data visualisation and dashboard creation (e.g. Tableau), communicates findings clearly and concisely

Open, inclusive team contributor—willing to share feedback, mentor junior team members, and continuously learn from others as well as keeping collaborators and managers informed of progress, blockers, and results throughout project delivery.

Comfortable with ambiguity and structuring analysis from first principles.

We actively encourage applications from candidates who are Black, Asian or minority-ethnic (BAME), or from other groups traditionally underrepresented in the UK media.We operate in a hybrid environment working 3 days a week from our offices in Kings Cross and 2 days a week remotely.We value and respect all differences (seen and unseen) in all people. We aspire to have inclusive working experiences and an environment that reflects the audience we serve, where our people have equal access to career development opportunities, their voices are heard and can contribute to our future. We actively encourage applications from people of all backgrounds. Many of our staff work flexibly and we will consider all requests for flexible working arrangements.How to ApplyTo apply, please upload your latest CV and a cover letter which outlines why you’d love to take on this role, and why you’re a great match for what we’re looking for.We appreciate the time taken to prepare each application we receive. We do not use AI-assisted technology to review applications; every application is reviewed by a member of our recruitment team.The closing date for applications is Friday 23rd January 2026.All roles at the Guardian are open for everybody to apply. It is important to us that you feel supported and comfortable throughout your recruitment process, in order to perform your best. Please let us know if there are any changes we could make to help your application, this includes providing documents in accessible formats or personalising the process to better support your needs. Please contact Anna Vipers on anna.vipers@theguardian.com to discuss further so we can work with you to support you through your application.Benefits at the GuardianYou’ll have 30 days of annual leave per year (plus bank holidays) with the option to purchase an additional 5 days. Our pension scheme is generous; if you contribute 5% then we will contribute 8-12% (depending on your age). We believe in giving back, which is why employees are given 2 volunteering days annually and the option of payroll giving. Season ticket loans are also available.You are entitled to private healthcare, life cover, income protection, and eye tests. You can also opt in to dental insurance.We have enhanced maternity, paternity, adoption and shared parental leave policies in place. We also support our employees by offering an IVF, menopause, baby loss, and trans equality policy.Culture and WellbeingWe want everyone to feel like they belong at the Guardian and we champion diversity of thought. Our various employee forums provide a platform to use their voice to foster an inclusive workplace. We became the first major media organisation to achieve B Corp status.We offer tools to help you prioritise your wellbeing including access to our employee benefits platform which provides tailored support for health and wellbeing. In addition, we also offer free yoga and pilates classes. These run alongside our corporate gym membership and cycle to work scheme.Our canteen has views overlooking the Regents Canal and caters for breakfast, lunch and dinner.Learning and DevelopmentWe encourage personal and professional growth. Employees have access to a broad range of tools and solutions, and we are happy to support the pursuit of professional qualifications through vocational courses and apprenticeships.

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)

Principal Data Engineer

Manchester based with a hybrid working arrangement.

You will work across a diverse portfolio of client assignments, delivering technical solutions that address a wide spectrum of data-related challenges and enabling organisations to make informed, data-driven decisions.

In this position, you’ll design and implement advanced data systems and pipelines that meet clients’ needs with scalability and reliability in mind.

You will also collaborate closely with both technical and business stakeholders, ensuring you fully understand their objectives and can translate their requirements into effective solutions.

Essential Skills & Experience:

UK Resident - Position requires Full Security Clearance

Bachelors or Masters degree in a STEM subject

Programming experience in Python, R, SQL, SAS

Experienced with DevOps processes

Experienced working in regulated industries

Experienced on the Microsoft Azure stack

Excellent stakeholder and communication skills.

4+ years experience in data engineering

Experience mentoring or supporting more junior engineers

Experience migrating between platforms.

Experience with SAS tools and SAS administration.

Agile Development and Deployment experience

As this role is for a consultancy, travel across the UK to client sites may be required on occasion. Due to the nature of the projects, only candidates who have full working rights (no sponsorship offered) and those who can obtain full security clearance will be considered.Benefits:£40,000 - £60,000 base salary (dependant on experience)Company + Performance bonusExcellent company pension contributionPrivate healthcareLearning & Development budgetUK Remote - Occassional office travelInterviews are happening immediately, please apply directly to be considered.*Only candidates living in the UK and those who can obtain full security clearance are being considered*

Quantitative Risk Analyst VP

My leading Investment Bank client are looking for a talented and motivated individual to take responsibility for developing, documenting, and monitoring Credit Risk models for their EMEA region. You’ll take initiative on activities supporting Regulatory and Internal Capital Assessments such as ICAAP, ICARA and others, as well as developing innovative solutions in climate risk modelling and scenario analysis exercise.The team is high performing yet supportive, with great management. A brilliant opportunity!The following skills/experience is required:

Strong background in Credit Risk Model development

Degree in Quantitative subject (Finance, Mathematics, Economics, Engineering, etc)

Programming languages, ideally R. Python, SAS are desirable

Banking background

Strong Excel and Access skills

Good communication and stakeholder management skills.

Salary: Up to £130,000 + bonus + packageLevel: Vice President (VP)Location: London (good work from home options available)If you are interested in this Quantitative Risk Analyst position and meet the above requirements please apply immediately.

R D Electronics Engineer

Are you an enthusiastic individual who craves technical challenges and has an interest in technology, electronics and a passion for cars?The successful candidate will be responsible for helping develop remanufacturing solutions for complex automotive electronic /mechatronic control modules. This is a great opportunity to develop your technical skills in a constantly evolving industry.We are based conveniently between Nottingham and Derby centres, nestled on the entrance to one of the regions finest country parks (Shipley Country Park), boasting 700 acres of beautiful landscape popular for relaxed café dining, walking, fishing, biking and horse-riding.You will be required to perform the following tasks:

Test electronic circuits by simulating vehicle loads and signals

Reverse engineer electronic circuits to find root causes of failures

Enact rebuild solutions for electronic hardware and software failures

Create technical documentation

Desirable skills & experience:

Interests and experience in mathematics of circuit analysis.

Experience in electronic fault finding to component level and PCB rework methods.

Well organised with a methodical approach to problem solving.

Team player with excellent attention to detail.

Knowledge and experience of automotive operations, wiring diagrams, electronics, and communication protocols.

Knowledge and experience using lean process methodologies.

In return, the successful candidates will receive:

Full on the job training, constantly, throughout your career here at ECU Testing ltd.

32 days holiday per year, inclusive of bank holidays.

Fully air-conditioned office.

Free onsite parking

Free work uniform, PPE and safety footwear

Unlimited barista-quality coffee

Recreation facilities (Full VR driving/gaming simulator/dart boards/pool tables)

Free takeaway meal every Friday, named ‘FAT FRIDAY’ by all the staff.

Access to a fully equipped company gym.

Birthday Gifts.

Christmas party, fully paid for by the Managing director.

Annual team building days.

Excellent in-house career development opportunities

Work Hours: 6:30 – 15:00To be suitable for this role you may previously of worked as an Electronics Engineer, Electronics Technician, Test Engineer, Product Development Technician.If you are interested in this role, please apply online today.

We have a new opportunity for an IT Data Engineer to join our existing team as part of a new phase of expansion. Whilst we’re looking for individuals with previous experience working for a Professional Services organisation, as a medium sized business we operate with a much smaller, multi skilled IT Team than you will find at larger enterprise companies. Although the role is primarily an IT Data Engineer, you will also need to be able to display BI Developer and strong Analytical skills and play a crucial role in designing, building, and maintaining our data pipelines using Microsoft Azure tools and platforms, as well as presenting information to the end user. The work itself is structured around project and business support tasks, where we use business feedback to help drive innovation and growth of our solutions. You will need to be able work both independently and collaboratively as part of a small team that is constantly seeking to improve and provide great solutions. Good entrepreneurial skills along with an ability to spot solutions to business problems will always be encouraged. This is an opportunity to make a real difference in the law space, in terms of innovations around data and data driven solutions. We’re at the start of our journey in aiming to be best in class/number one in terms of data, so we were looking for someone who stays informed of the latest Microsoft data and reporting technologies to help us continuously improve our data solutions, someone who will grow with us as aim as high as possible. We operate hybrid working practices, with a typical week split between time in the office and home working. Key Responsibilities: Work with Microsoft Azure Technologies (e.g., Data Factory, Databricks, Synapse) to orchestrate data loading and workflows and manage data pipelines. Maintain, support, and build data warehouses using Azure SQL Technologies Collaborate with analysts, and business stakeholders to understand data requirements and translate them into technical solutions. Developing and implementing data validation and reconciliation processes to ensure data quality and consistency across the data platforms. Troubleshooting and resolving issues related to data transformation, data loading, and data quality, while proactively identifying opportunities for process optimisation and performance tuning. Contribute to the development, support and maintenance of reports and dashboards using Power BI. Troubleshoot and resolve data-related issues and provide support for data-related projects. Innovate on existing solutions and look to help maximise efficiency in the platform. Skills and Experience The successful candidate is likely to hold a bachelors degree in computer science, Information Technology, or a related field, and have significant practical experience within Professional Services environment. Other attributes should include: Good understanding of SQL and relational databases. These are the key assets within our organisation. Familiarity with Microsoft Azure services (e.g., Azure SQL, Azure Synapse, Azure Databrick Understanding of data warehousing concepts and data architecture. Familiarity with any programming or scripting language (e.g., Python, R, JavaScript). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Eagerness to learn and adapt to new technologies and methodologies Join us in our vision to unlock the power of data and drive innovation through seamless data. If you are passionate about leveraging cutting-edge technologies to solve complex data challenge and have a solid foundation in the in the Microsoft data stack, we encourage you to apply! TPBN1_UKTJ

Senior Azure Data Engineer

Youngs Employment Services

Hybrid - Work From Home and West LondonCirc £70,000 - £80,000 + Range of benefitsA well-known and prestigious business is looking to add a Senior Azure Data Engineer to their data team. This is an exciting opportunity for a Data Engineer that’s not just technical, but also enjoys directly engaging and collaborating with stakeholders from across business functions. Having nearly completed the process of migrating data from their existing on-prem databases to an Azure Cloud based platform, the Senior Data Engineer will play a key role in helping make best use of the data by gathering and agreeing requirements with the business to build data solutions that align accordingly. Working with diverse data sets from multiple systems and overseeing their integration and optimisation will require raw development, management and optimisation of data pipelines using tools in the Azure Cloud. Our client has expanded rapidly in recent years, they’re an iconic business with a special work environment that’s manifested a strong and positive culture amongst the whole workforce. This is a hybrid role where the postholder can work from home 2 or 3 days per week, the other days will be based onsite in West London just a few minutes walk from a Central Line tube station.The key responsibilities for the post include;* Develop, construct, test and maintain data architectures within large scale data processing systems.* Develop and manage data pipelines using Azure Data Factory, Delta Lake and Spark.* Utilise Azure Cloud architecture knowledge to design and implement scalable data solutions.* Utilise Spark, SQL, Python, R, and other data frameworks to manipulate data and gain a thorough understanding of the dataset’s characteristics.* Interact with API systems to query and retrieve data for analysis.* Collaborate with business users / stakeholders to gather and agree requirements.To be considered for the post you’ll need at least 5 years experience ideally with 1 or 2 years at a senior / lead level. You’ll need to be goal driven and able to take ownership of work tasks without the need for constant supervision. You’ll be engaging with multiple business areas so the ability to communicate effectively to understand requirements and build trusted relationships is a must. It’s likely you’ll have most, if not all the following:* Experience as a Senior Data Engineer or similar* Strong knowledge of Azure Cloud architecture and Azure Databricks, DevOps and CI/CD.* Experience with PySpark, Python, SQL and other data engineering development tools.* Experience with metadata driven pipelines and SQL serverless data warehouses.* Knowledge of querying API systems.* Experience building and optimising ETL pipelines using Databricks.* Strong problem-solving skills and attention to detail.* Understanding of data governance and data quality principles.* A degree in computer science, engineering, or equivalent experience.Salary will be dependent on experience and likely to be in the region of £70,000 - £80,000 although client may consider higher for outstanding candidate. Our client can also provide a vibrant, rewarding, and diverse work environment that supports career development.Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd. Young’s Employment Services acts in the capacity of both an Employment Agent and Employment Business

GIS Data Scientist

Morgan Hunt Group Limited

Location: GlasgowEmployment Type: Contract, 2 months, strong chance of extensionAbout the RoleMorgan Hunt are working with a leading government organisation to recruit a GIS Data Scientist who can blend spatial analysis, advanced analytics, and problem-solving to turn geospatial data into actionable insights. You’ll work with large, complex datasets, build predictive models, and support data-driven decisions across the organisation. If you love maps, patterns, and answering real-world questions with data, this role has your name all over it.Key Responsibilities

Acquire, clean, and manage geospatial datasets from diverse sources

Perform spatial analysis, spatial statistics, and geoprocessing to support strategic and operational projects.

Develop predictive models and machine-learning workflows using spatial and non-spatial data.

Build and maintain spatial databases, data pipelines, and automated ETL processes.

Create high-quality maps, dashboards, and visualisations for both technical and non-technical stakeholders.

Collaborate with cross-functional teams to define requirements and deliver geospatial insights.

Implement QA/QC best practices to ensure accuracy, reproducibility, and data governance.

Stay current with emerging geospatial technologies, standards, and research.

Skills & ExperienceEssential

Strong experience with GIS platforms (ArcGIS, QGIS) and geospatial libraries (e.g., GeoPandas, GDAL/OGR, Shapely, Rasterio).

Proficiency in Python and/or R for data science and automation.

Solid grounding in statistics, spatial analysis, and machine-learning methodologies.

Experience with spatial databases (PostGIS, BigQuery GIS, SQL Server Spatial).

Ability to communicate complex spatial insights clearly to diverse audiences.

Experience working with remote sensing and raster datasets.

Details

650- 750 per day

inside of IR35

2 months, strong chance of extension

Glasgow based

Morgan Hunt is a multi-award-winning recruitment business for interim, contract and temporary recruitment and acts as an Employment Agency in relation to permanent vacancies. Morgan Hunt is an equal opportunities employer. Job suitability is assessed on merit in accordance with the individual’s skills, qualifications and abilities to perform the relevant duties required in a particular role.

Lead Data Scientist - Drug Discovery

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

Environmental Data Scientist/Hydrologist

Job Title: Senior Environmental Data Scientist/Hydrologist Ref. No.: CJD1001T26 Location: Based near Reading Salary: £35,000 - £42,000 This is an exciting opportunity to join my client, an industry-leading, eco-conscious Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are specifically on the lookout for a capable, experienced Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is demonstrably keen to lead a dedicated team through the delivery of an array of challenging projects. You will be based near the modern, multicultural town of Reading. Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to): * Highly-competitive salary, increasing with experience * Employee Pension Scheme * Very generous annual leave package * A focus on work-life balance, with flexible/hybrid working prospects * Healthcare plan * Dedication to your Continuing Professional Development (CPD), with extensive career progression opportunities * Delivery of a wide range of exciting engineering projects across the local region and beyond Responsibilities for the role of Senior Environmental Data Scientist/Hydrologist include: * Take the lead in the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 * Create flow estimation, flood estimation, and catchment models * Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes * Develop, manage, and enhance hydrological and modelling methods * Work closely with a team to support scientific research * Liaise closely with clients and other stakeholders across the public and private sectors Required skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: * A UK First Degree (or equivalent qualification) in Civil Engineering, Environmental Science, or a cognate discipline * Demonstrable experience of coding, particularly using Python and/or R * Considerable experience of developing machine learning models, particularly when applied to environmental data * Experience of working in a hydrological or water-centric environmental science role * Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.) * Outstanding communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences * Good literacy and numeracy skills, particularly when applied to report writing * Technically- and analytically-minded Desirable skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: * A UK Master’s Degree (or equivalent) in a relevant discipline * Possess a full, valid UK Driver’s Licence If you are interested in the role of Senior Environmental Data Scientist/Hydrologist, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy.

Environmental Data Scientist/Hydrologist

Job Title: Senior Environmental Data Scientist/Hydrologist Ref. No.: CJD1001S26 Location: Based near Oxford Salary: £35,000 - £42,000 This is a wonderful opportunity to join my client, a highly-regarded, environmentally-savvy Multidisciplinary Consultancy, renowned for lending their expertise to projects across the Water, Transport, and Renewable Energy Sectors. They are currently seeking a talented, enthusiastic Senior Environmental Data Scientist/Hydrologist with demonstrable knowledge of hydrology and hydrological modelling, who is keen to lead a team through their delivery of several challenging projects. You will be based near the beautiful, academic city of Oxford. Benefits for the role of Senior Environmental Data Scientist/Hydrologist include (but are not limited to): Competitive salary, rising with experience Employee Pension Scheme Very generous annual leave entitlement A focus on work-life balance, with possibilities of flexible/hybrid working Healthcare plan Dedication to your Continuing Professional Development (CPD), with excellent career progression opportunities Delivery of a wide range of exciting engineering projects across the local region and beyond Responsibilities for the role of Senior Environmental Data Scientist/Hydrologist include: Contribute to the development of models and methods, utilising various software platforms, including Qube, CERF, FEH Flood Modelling Suite, ReFH2, and WINFAP5 Produce flow estimation, flood estimation, and catchment models Identify opportunities for developing hydrological models, utilising machine learning for improvement and development purposes Develop, manage, and enhance hydrological and modelling methods Provide dedicated support to scientific research Liaise closely with clients and other stakeholders, across the public and private sectors Required skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A Bachelor’s Degree in Hydrology, Environmental Science, or a cognate discipline Demonstrable experience of coding, with particular familiarity with Python and/or R Considerable experience of developing machine learning models, particularly when applied to environmental data Experience of working in a hydrological or water-based environmental science role Confident ability in handling complex data sets, particularly those that are spatial and temporal in nature (e.g., NetCDF, ASCII, etc.) Excellent communication and interpersonal skills, with the ability to present information accurately and concisely to a range of audiences Good literacy and numeracy skills, particularly when applied to report writing Analytically-minded Desirable skills and experience for the role of Senior Environmental Data Scientist/Hydrologist include: A Higher Degree in a relevant subject area Possess a full, valid UK Driver’s Licence If you are interested in the role of Senior Environmental Data Scientist/Hydrologist, please do not hesitate to contact Caroline Davis at Penguin Recruitment. Please also see our website for a range of other roles currently available. This is a permanent role. Penguin Recruitment is operating as a recruitment agency in respect to this vacancy

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

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

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!

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)

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