Senior Data Scientist - Optimisation
(Fixed Term Contract: 12 months)
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.
An exciting opportunity has arisen for a senior data scientist with expertise in R, R-Shiny and SQL to join our growing Data Science team in Mumbai. You will work closely with our Head of Data Science India, and our global team to support the development of new data science products.
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, operations research 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, optimised and well-documented code)
• Communicate findings timely through impressive visuals and insightful statistics.
What we’re looking for in you:
Degree in mathematics, finance, statistics, engineering, computer science or related field. Experience with statistics, regression, time series, econometrics, and mathematical optimisation is preferred.
• Good understanding of fundamentals concepts of operational research and when they should be applied through a relevant academic or work experience.
• Demonstratable experience in analytical modelling and solving mathematical optimisation problems (e.g., Linear Programming, Mixed Integer Linear Programming, etc) using relevant packages in R programming language.
• 4+ years Hands-on experience working in R and R-Shiny, good command over SQL with a passion for open-source solutions
• 2+ years’ experience in project management & team management.
• Knowledge of APIs, ETL processes, testing methodologies, cloud technologies (AWS)
• Experience with designing and building exploratory data analysis and data visualisation
• Solution-oriented mindset and self-directed.
• Experience in using version control software, project management solutions
• Believe in the following Argus values: Passion, Integrity, Excellence and Results
Benefits:
Please send in your application via our official careers website at https://www.argusmedia.com/en/careers/open-positions.
Jobs posted on other websites and that do not link to our careers website may not be legitimate and may be fraudulent. If you are contacted by someone whom you suspect may not be appropriately representing Argus, please send the details to us via an email with “Recruitment Fraud” in the subject title.
