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

What we’re looking for

As a Data Scientist (Analytics), you will play a key role in advancing Argus’ automatic machine learning (ML) and artificial intelligence (AI) capabilities, with a specific focus on production-level R Shiny development. You will work on some of the most innovative and impactful data science products in the industry, such as The Argus Data Science Studio.    

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

The studio is 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 will be responsible for leading the development and maintenance of the 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) in one 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 you upload your CV via our website: www.argusmedia.com/en/careers/open-positions 

By submitting 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, disability or veteran status.