Associate Data Scientist

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.

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 scientists, 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 price dynamics.
• Write production-level code (clean, and well-documented code).
• Communicate findings through impressive visuals and insightful statistics.

Skills and Experience:

• 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.

Attributes:

• Self-motivated, confident and results-driven individual.
• Highly organised to manage own workload and efficiently meet targets.
• Courteous, friendly, and positive.