Data Scientist

Job description

The Role

The Role:

If you are a data scientist with a passion to show business impact and value to the business with your data science skills, this could be a right opportunity for you to apply.

What’s the role?

As a data scientist you’re going to be responsible for:

  • End to end delivery of specific analytics projects in Finance domain
  • Developing advanced Data science solutions for problem statements in Finance
  • Generating business insights from data analytics at the request from the business, generate and enable value to the business.
  • Identifying new value pockets and bring key business stakeholders on board and enable value through project delivery
  • Setting up and demonstrating world class standards and best practices in project execution and quality of delivery
  • Articulating clearly, the data science work, its approach, and its value to all stakeholders

What we need from you?

We need a strong individual contributor with excellent delivery skills. Experience of presenting customer centricity solutions and understanding of the business will also be a key skill for this role.


  • Strong experience in data science/Analytics projects, particularly Forecasting (great if some work is documented in a GitHub repo)
  • It would be an advantage if the candidate has completed 1 to 2 projects in Finance domain using analytics
  • Understanding of Finance/ Financial Accounting is an additional advantage
  • Working knowledge of SQL and Python or R is essential
  • Familiarity with key concepts of object-oriented programming
  • Knowledge of SAP, Power BI and/or Alteryx would be an advantage
  • Proficiency in any other programming languages (especially C++, Java, SCALA) would be an advantage; knowledge of cloud technology would be an asset
  • Expertise in Statistics / Mathematics [Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Logit/Probit Model, Affinity & Association, Time Series, DoE, distribution / probability theory]
  • Expertise in Advanced Timeseries forecasting techniques, Advanced Machine learning techniques [ Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction, Natural Language Processing (incl. Theme deduction, sentiment analysis, Topic Modeling), Natural Language Generation


Please note: We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date. Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch/Shell Group companies around the world. The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell. Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand. Shell is an Equal Opportunity Employer.

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