Associate Data Scientist (R & R Shiny)
Associate Data Science
Location: Mumbai
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 1,400 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 Media 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.
What will you be doing?
An exciting opportunity has arisen for an associate data scientist with expertise in R, R-Shiny and SQL to join our growing Data Science team in Mumbai. You will work closely with other data scientist, under guidance from Head of Data Science India, and our global teams to support the development of new products for analytics with a particular focus on Petrochemicals.
You will be responsible for building impactful data science solutions for business use cases, conducting research on large complex data sets to uncover meaningful patterns in data, employing mathematical and computational techniques to clean, manipulate, organise and model data into actionable insights and results.
• Apply novel data science, machine learning and statistical techniques to provide an unbiased and quantitative solution to critical business problems.
• Develop, structure and investigate your ideas by constructing hypotheses, testing them rigorously, conducting analyses, creating user prototypes, facilitating UAT, and finally presenting recommendations for improvement to current business processes.
• Build user-focused data science/analytics products based on novel business use cases for internal as well as external stakeholders.
• Develop and maintain models with a focus on commodity prices dynamics.
• Write production-level code (clean, and well-documented code)
• Communicate findings through impressive visuals and insightful statistics.
What we’re looking for?
- Degree in mathematics, finance, statistics, engineering, computer science or related field. Experience with statistics, regression, time series and econometrics is preferred.
- 1-2 years Hands-on experience working in R and R-Shiny, good command over SQL with a passion for open-source solutions.
- Knowledge of APIs, ETL processes, testing methodologies.
- Experience with exploratory data analysis and data visualisation.
- Solution-oriented mindset and self-directed.
- Experience in using version control software.
- Believe in the following Argus values: Passion, Integrity, Excellence and Results.
What’s in it for you:
- Competitive salary
- Hybrid Working Policy (3 days in Mumbai office/ 2 days WFH once fully inducted)
- Group healthcare scheme
- 18 days annual leave
- 8 days of casual leave
- Extensive internal and external training
Hours:
This is a full-time position operating under a hybrid model, with three days in the office and two days working remotely.
The team supports Argus’ key business processes every day, as such you will be required to work on a shift-based rota with other members of the team supporting the business until 8pm. Typically support hours run from 11pm to 8pm with each member of the team participating 2/3 times a week.
For more details about the company and to apply please make sure you send your CV and cover letter 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.