Senior Data Scientist - Analytics
Senior Data Scientist - Analytics
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Job Description
Senior Data Scientist Analytics
Mumbai India
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 1500 staff Argus is an independent media organisation with 30 offices in the worlds 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 longterm 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 UKregistered company owned by employee shareholders and global growth equity firm General Atlantic.
What were looking for:
Due to the continued growth of the business and the importance of the data we use on a daily basis we are currently looking for a for a Senior Data Scientist to join the team in Mumbai.
What will you be doing
An exciting opportunity has arisen for a senior data scientist with expertise in R RShiny 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 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 userfocused 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 productionlevel code (clean optimised and welldocumented code)
Communicate findings timely 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.
4 years Handson experience working in R and RShiny good command over SQL with a passion for opensource solutions
2 years experience in project management & team management
Robust Knowledge of Data Structures & Algorithms APIs ETL processes testing methodologies cloud technologies (AWS).
Experience with designing and building exploratory data analysis and data visualisation
Solutionoriented mindset and selfdirected.
Experience in using version control software project management solutions
Believe in the following Argus values: Passion Integrity Excellence and Results
Whats 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 fulltime position operating under a hybrid model with three days in the office and up to two days working remotely.
The team supports Argus key business processes every day as such you will be required to work on a shiftbased 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 up to 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/en/careers/openpositions
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 identitydisabilityor veteran status.
Required Experience:
Senior IC
Employment Type
Full-Time
