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- Tasks: Develop and maintain user interfaces and visualisations using R Shiny for data science products.
- Company: Argus Media is a leading provider of market intelligence in the global energy and commodity markets.
- Benefits: Enjoy flexible working, competitive salary, healthcare, and 25-30 days holiday.
- Why this job: Join a dynamic team to innovate in data science and make a real impact in the industry.
- Qualifications: Master's degree or equivalent experience in Computer Science, Statistics, or a related field required.
- Other info: This is an entry-level, full-time position with opportunities for professional development.
The predicted salary is between 42000 - 84000 £ per year.
Join to apply for the Data Scientist, Analytics (R Shiny) role at Argus Media
Join to apply for the Data Scientist, Analytics (R Shiny) role at Argus Media
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 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.
e-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 you upload your CV via our website: 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,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
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Seniority level
Entry level
Employment type
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Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Information Services
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Data Scientist, Analytics (R Shiny) employer: Argus Media
Contact Detail:
Argus Media Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist, Analytics (R Shiny)
✨Tip Number 1
Familiarise yourself with R Shiny and its best practices. Since this role heavily focuses on R Shiny development, consider building a small project or two to showcase your skills. This hands-on experience will not only boost your confidence but also provide you with concrete examples to discuss during interviews.
✨Tip Number 2
Network with professionals in the data science field, especially those who work with R Shiny. Attend meetups, webinars, or online forums where you can connect with others in the industry. This could lead to valuable insights about the company culture at Argus Media and potentially even referrals.
✨Tip Number 3
Stay updated on the latest trends in machine learning and data visualisation techniques. Argus Media values innovation, so being knowledgeable about current advancements will help you stand out. Consider following relevant blogs, podcasts, or online courses to keep your skills sharp.
✨Tip Number 4
Prepare to discuss your problem-solving approach during the interview. Argus is looking for candidates with a maker mindset and creativity in tackling challenges. Think of specific examples from your past experiences where you successfully solved complex problems using data science techniques.
We think you need these skills to ace Data Scientist, Analytics (R Shiny)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with R Shiny and any relevant data science projects. Focus on your coding skills, particularly in R, and mention any specific achievements related to data visualisation or machine learning.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and Argus Media. Discuss how your background aligns with their needs, especially your experience in developing user interfaces and your understanding of data visualisation best practices.
Showcase Relevant Projects: If you have worked on any projects involving R Shiny or similar technologies, include them in your application. Provide links to your portfolio or GitHub repository to demonstrate your coding skills and project outcomes.
Highlight Soft Skills: Argus Media values collaboration and creativity. Make sure to mention your ability to work independently as well as part of a team, and provide examples of how you've solved problems creatively in past roles.
How to prepare for a job interview at Argus Media
✨Showcase Your R Shiny Skills
Make sure to highlight your experience with R Shiny during the interview. Be prepared to discuss specific projects where you've developed user interfaces or dashboards, and explain how you ensured a smooth user experience.
✨Demonstrate Data Visualisation Knowledge
Argus values effective data visualisation. Bring examples of your work that showcase clarity, accuracy, and aesthetics. Be ready to discuss different visualisation techniques and how you've applied them in past projects.
✨Prepare for Technical Questions
Expect technical questions related to machine learning and statistical methods. Brush up on your knowledge of algorithms and be ready to explain how you've implemented them in R or Python, as well as any challenges you faced.
✨Emphasise Collaboration and Communication
Since the role involves working with team members and clients, be prepared to discuss your collaboration experiences. Share examples of how you've communicated complex data insights effectively and worked within a team to achieve project goals.
