Shape the Future of AIJoin one of the UK's fastest-growing companies and become a Professional Development Expert in Artificial Intelligence.

View Roles

Data Scientist, Analytics (R Shiny)

Argus Media
London
1 week ago
Applications closed

Related Jobs

View all jobs

Data Scientist / Business Intel Engineer (FTC), Prime and Marketing Analytics & Science (PRIMAS)

Data Scientist / Business Intel Engineer (FTC), Prime and Marketing Analytics & Science (PRIMAS)

Data Scientist

Data Scientist, Customer Marketing

Data Scientist II, PLS Analytics

Data Scientist

Join to apply for theData Scientist, Analytics (R Shiny)role atArgus Media

Join to apply for theData Scientist, Analytics (R Shiny)role atArgus Media

Argus is where smart people belongand where they can grow. We answer the challenge of illuminating markets and shaping new futures.

Whatwe’re looking for

As aData Scientist(Analytics), you will play a key role in advancing Argus’automaticmachinelearning (ML) andartificialintelligence (AI) capabilities, with a specific focus onproduction-level R Shiny development. You will work on some of the most innovative and impactful data science products in the industry, such asThe Argus Data Science Studio.

https://www.argusmedia.com/en/products-platforms/argus-platforms/data-science-studio

The studiois a powerful new modelling tool that enables our clients to perform advanced analytics, trading, hedging and risk management decisions using our rich and diverse data sets.You willbe responsible for leading thedevelopmentand maintenance ofthe user interface and functionality of the tool using R Shiny, ensuring a smooth and intuitive user experience.

Much of the algorithms involve programming in R. We envisage that Python will also be used in the future.

What Will You Be Doing

  • Developing and maintaining user interfaces, visualizations, dashboards, and analyses for our data science products using R Shiny, ensuring high-quality standards and user satisfaction.
  • Troubleshooting and debugging any issues or errors related to R Shiny development and providing technical support and guidance to other team members and clients.
  • Suggesting improved data visualisation methods for our data science products, using best practices and principles of data visualisation, such as clarity, accuracy, and aesthetics.
  • Reviewing existing data science applications and developing novel statistical and automated machine learning approaches that enhance their performance and functionality.
  • Maintaining documentation per company standards.
  • Writing production-level code (clean, and well-documented) that follows the best practices and standards of software engineering and data science.
  • Contributing to the development and maintenance of machine learning models.

Skills And Experience

  • At least a master’s level qualification (or equivalent experience)inone of the following fields:
  • Computer Science
  • Statistics
  • Finance
  • another quantitative field with a substantial statistics component (for instance, knowledge of time series analysis, probabilistic forecasting and statistical modelling).
  • Advanced, production-level,R coding skills including R Shiny, R Markdown and other relevant packages and frameworks.
  • Experience in developing,maintaining, testing, debugging, and optimizing R Shiny applications for data science products or projects.
  • Experience in creating and presenting data visualisations using various tools and techniques, (such as R Shiny, Tableau, Power BI, D3.js, etc.)and ability to communicate data insights effectively and persuasively using data visualisation best practices and principles.
  • Knowledge of different types of data visualisation techniques and formats, such as charts, graphs, maps, heatmaps, word clouds, scatter plots, infographics, etc.
  • Some experience using statistical and machine learning techniques.
  • Maker mindset & self-directed
  • Ability to initiate and execute projects independently
  • Willingness to learn new skills and technologies
  • Creativity and innovation in problem-solving
  • Collaboration and communication with other team members

What’s in it for you

Our rapidly growing, award-winning business offers a dynamic environment for talented, entrepreneurial professionals to achieve results and grow their careers. Argus recognizes and rewards successful performance and as an Investor in People, we promote professional development and retain a high-performing team committed to building our success.

  • Competitive salary and company bonus scheme
  • Group pension scheme
  • Group healthcare and life assurance scheme
  • Flexible working environment
  • 25 days holiday with annual increase up to 30 days
  • Subsidised gym membership
  • Season ticket travel loans
  • Cycle to work scheme
  • Extensive internal and external training

About Argus

Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets. Headquartered in London with over 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs.

Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy. Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.

Argus is committed to ensuring career and personal growth for all its staff and provides extensive training and career development opportunities, as well as participation in employee-led initiatives, including a women’s network. Our core values are Excellence, Integrity, Partnership and Inclusivity.

For more details about the company and to apply please make sure youupload your CV via our website: www.argusmedia.com/en/careers/open-positions

Bysubmitting your job application, you automatically acknowledge and consent to the collection, use and/or disclosure of your personal data to the Company. Argus is an equal opportunity employer. We welcome and encourage diversity in the workplace regardless of race, gender, sexual orientation, gender identity,disabilityor veteran status.

Argus is the leading independent provider of market intelligence to the global energy and commodity markets. We offer essential price assessments, news, analytics, consulting services, data science tools and industry conferences to illuminate complex and opaque commodity markets.

Headquartered in London with 1,500 staff, Argus is an independent media organisation with 30 offices in the world’s principal commodity trading hubs.

Companies, trading firms and governments in 160 countries around the world trust Argus data to make decisions, analyse situations, manage risk, facilitate trading and for long-term planning. Argus prices are used as trusted benchmarks around the world for pricing transportation, commodities and energy.

Founded in 1970, Argus remains a privately held UK-registered company owned by employee shareholders and global growth equity firm General Atlantic.Seniority level

  • Seniority levelEntry level

Employment type

  • Employment typeFull-time

Job function

  • Job functionEngineering and Information Technology
  • IndustriesInformation Services

Referrals increase your chances of interviewing at Argus Media by 2x

Get notified about new Data Scientist jobs inLondon, England, United Kingdom.

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 15 hours ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 5 days ago

London, England, United Kingdom 2 weeks ago

London, England, United Kingdom 2 months ago

London, England, United Kingdom 1 week ago

London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 day ago

London, England, United Kingdom
£60,000.00
-
£120,000.00
1 month ago

Data Scientist – Data Science Analytics and Enablement (DSAE)

London, England, United Kingdom 1 day ago

Greater London, England, United Kingdom 3 weeks ago

London, England, United Kingdom 1 week ago

Greater London, England, United Kingdom 10 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 2 weeks ago

Data Scientist, Internship, United Kingdom - BCG X

London, England, United Kingdom 1 week ago

London Area, United Kingdom £65,000 - £80,000 17 hours ago

London, England, United Kingdom 1 month ago

London, England, United Kingdom 3 weeks ago

Data Scientist – Experimentation & Measurement

London, England, United Kingdom 1 day ago

Junior Data Scientist – Quantitative Market Research (Agency Side)

London Area, United Kingdom £28,000 - £30,000 9 hours ago

London, England, United Kingdom 1 week ago

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Automate Your Data Science Jobs Search: Using ChatGPT, RSS & Alerts to Save Hours Each Week

Data science roles land daily across banks, product companies, consultancies, scaleups & the public sector—often buried in ATS portals or duplicated across boards. The fix: put discovery on rails with keyword-rich alerts, RSS feeds & a reusable ChatGPT workflow that triages listings, ranks fit, & tailors your CV in minutes. This copy-paste playbook is for www.datascience-jobs.co.uk readers. It’s UK-centric, practical, & designed to save you hours each week. What You’ll Have Working In 30 Minutes A role & keyword map spanning Core DS, Applied/Research, Product/Decision Science, NLP/CV, Causal/Experimentation, Time Series/Forecasting, MLOps-adjacent & Analytics Engineering overlaps. Shareable Boolean searches for Google & job boards that strip out noise. Always-on alerts & RSS feeds that bring fresh UK roles to you. A ChatGPT “Data Science Job Scout” prompt that deduplicates, scores match & outputs ready-to-paste actions. A simple pipeline tracker so deadlines & follow-ups never slip.

10 Data Science Recruitment Agencies in the UK You Should Know (2025 Job‑Seeker Guide)

With AI/ML embedded across industries, UK demand for data scientists is rising fast. Lightcast data shows +48 % year‑on‑year growth in UK job ads referencing “data science”, “ML”, “NLP” or “predictive analytics” during Q1 2025. Yet fewer than 16,000 fully credentialled data scientists are active, while monthly live roles hover around 1,700–2,000. Specialist recruiters offer the best access to curated roles, salary insights and prepped interview support. We screened 60+ agencies and included only those with: UK-registered head offices (Companies House verified) A named Data Science / Analytics practice ≥5 UK data science roles advertised between March–June 2025 This guide features the UK’s top 10 data science recruiters, salary benchmarks, in-demand skills, interview prep tips, FAQs and next steps.

Data Science Jobs Skills Radar 2026: Emerging Tools, Languages & Platforms to Learn Now

The UK’s data science job market is evolving fast—from forecasting models and AI assistants to real-time decision systems. In 2026, data scientists aren’t just expected to build models—they’re responsible for shaping insights that fuel everything from patient care to predictive banking. Welcome to the Data Science Jobs Skills Radar 2026—your essential annual guide to the languages, tools, and platforms driving demand across the UK. Whether you’re entering the job market or reskilling mid-career, this roadmap helps you prioritise the skills that matter most right now.