Online applications are invited for Associate Data Scientist at Shell, Chennai. Check the important details given below!

About Shell

Shell is a global energy company with around 87,000 employees in more than 70 countries. We work together to power progress through more and cleaner energy solutions. We serve more than 30 million customers at almost 46,000 retail service stations every day.

Job Description

  • Support the Data Analytics team in the design and execution of analytics projects.
  • Work with data and technology experts to help execute analytics projects and deploy solutions.

Responsibilities

  • Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units within Shell through data-driven decision-making.
  • This position is part of the Finance & Data Operations Data Science team leading a team of data scientists delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science team spanning both on/offshore.
  • Incumbent is responsible for supporting the development of analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools.
  • The ideal candidate has a good background in quantitative skills (like statistics, mathematics, and advanced computing) and has applied those skills in solving real-world problems.

Skills

  • Provide deep business expertise preferably Oil & Gas – Upstream or Downstream businesses. (If these are not available, willing to consider other industries that are similar or related – manufacturing, mining, power generation, etc.).
  • Decarbonization & Sustainability – Decarbonization, Sustainability, Circular Economy, ESG, DE&I, packaging, Carbon Accounting & GHG emissions – Analytics.
  • Manufacturing / Industrial: Equipment Failure prediction, Maintenance Scheduling & Optimization, Inventory optimization, Cost Diagnostics, and Energy Management.
  • Customer / Marketing – pricing analytics, churn prediction, cross-sell / up-sell, Market Basket Analysis, Product Recommendation, Marketing Mix Modeling, Campaign design and effectiveness testing, Network Modeling, Customer segmentation, propensity analysis, customer lifetime value, profitability analysis, Customer Experience (incl. voice of customer), CRM, Loyalty program management.
  • Supply Chain / Spend: Demand & Supply Forecasting, Spend Analytics, Vendor Scoring, Pricing analysis (buy-side), product substitution analysis, product portfolio optimization, Tail spend analysis, logistics/network/route optimization, and Contract Compliance.
  • Functional Analytics: Order-to-cash, Procure-to-Pay, Record-to-Report, Tax (Direct & Indirect), Financial Risk and Assurance (controls and governance), Master Data Management, Inter-group / Intra-group. 
  • Trading & Risk Management: Across Credit & Market Risk – Value at Risk (VAR), Backtesting, Stress testing.
  • Deep expertise in machine learning techniques (supervised and unsupervised) statistics/mathematics/operations research including (but not limited to):
    • 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
  • 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
  • Operations Research: Sensitivity Analysis – Shadow price, Allowable decrease or increase, Transportation problem & variants, Allocation Problem & variants, Selection problem, Multi-criteria decision-making, models, DEA, Employee Scheduling, Knapsack problem, Supply Chain Problem & variants, Location Selection, Network designing – VRP, TSP, Heuristics Modeling
  • Risk: Simulation design and high-performance computing, GARCH modeling, macroeconomic / Market behavior modeling.
  • SAS, Python, R, SPSS (preferably two out of 4)
  • Spotfire, Tableau, QlikView, Power BI.
  • For Operations Research (AIMS, Cplex, Matlab).
  • Awareness of Data Bricks, Apache Spark, and Hadoop.
  • Awareness of Agile / Scrum ways of working.

Experience

  • 2+ years of experience in a hands-on analytics or research role.
  • Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
  • Good interpersonal communication skills.
  • Eagerness to learn and ability to work under tight deadlines.

Location

Chennai, India.

How to Apply?

Interested Candidates can apply online through this link.

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