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 Finance & Data Operations Data Science team delivering advanced analytics projects for different businesses within Shell. The individual will join a growing global data science organization spanning both on/offshore.
Incumbent is responsible for developing analytical models for projects collaborating with different business stakeholders & other partners and working across a range of technologies and tools.
The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning) and has applied those skills in solving real world problems across different businesses / functions.
Develops analytics models using specialized tools based on the business problem and data available
Identifies the right set of models and develops the right code / package to execute them
Evaluates the validity of the model (both scientifically as well as from a business perspective)
Support the Data Science Team Lead in design and execution of analytics projects
Work with Shell stakeholders and subject matter experts to complete tasks and deliverables on projects
Stakeholder Engagement Skills
Working collaboratively across multiple sets of stakeholders – business SMEs, IT, Data teams, Analytics resources, etc. to deliver on project deliverables and tasks
Identify actionable insights that directly address challenges / opportunities
Articulate business insights and recommendations (based on model output) to respective stakeholders
Industry / Functional Expertise
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.)
functional expertise in any one or more of the following industry / functional areas
Manufacturing / Industrial: Equipment Failure prediction, Maintenance Scheduling & Optimization, Inventory optimization, Cost Diagnostics, 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, 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), Back testing, Stress testing
Modeling and Technology Skills
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, Macro-economic / Market behaviour modeling
Process Analytics Process Discovery / Mining, BottleNeck analysis, Confirmation Testing, Process Benchmarking, Gap-to-Potential Assessment, SAP Data Models, SAP Table Structures (across SAP Modules – 5-6 of the following: General Ledger Accounting, Accounts Payable, Accounts Receivable, Purchasing, Inventory Management, Material Planning, Invoice Verification, Material Requirement Planning (MRP), Warehouse Management, Vendor Valuation, Sales, Sales, Shipping and transportation, Billing or Invoice generation, Bills of Material (BOM), Sales Information system, Credit Control, Sales and production Planning, Demand Management, Material Requirement Planning, Capacity Requirement Planning
Typically, each role will look at one of two of the above skills – not all of them
Strong experience in specialized analytics tools and technologies (including, but not limited to)
SAS, Python, R, SPSS (preferably two out of 4)
Spotfire, Tableau, Qlickview
For Operations Research (AIMS, Cplex, Matlab)
Awareness of Data Bricks, Apache Spark, Hadoop
Awareness of Agile / Scrum ways of working
Identify the right modeling approach(es) for given scenario and articulate why the approach fits
Assess data availability and modeling feasibility
Review interpretation of models results
5+ years of relevant experience
Advanced university degree in Mathematics, Statistics, Engineering, Economics, Quantitative Finance, OR, etc.
Good interpersonal communication skills and influencing skills
Eagerness to learn and ability to work with limited supervision
The aim of Shell Business Operations Chennai is to provide the Group with operational excellence through highlighting and utilizing process improvements and functional efficiencies as well as by leveraging economies of scale. Currently, the Chennai centre provides a wide range of finance, accounting and business services to Shell operating companies across several business sectors globally.
Set up in September 2007, the Chennai centre has grown rapidly and now , in its fourth year of operations , it has crossed the 1600 staff mark. The centre is located in the RMZ Millennia Business Park, where the Shell campus is a LEED Platinum building with world class infrastructure. The business is expected to grow further over the next two years and infrastructural additions to support this have been planned.
The main focus in Chennai is on Finance Operations which supports delivery of the global Finance functional plan. There is also a ‘Downstream India’ - Customer Services Team that handles lubricant depot ordering within the country. The Shell Business Operations (SBO Team) manages the centre facilities and supports business partners’ operations on site. There is a strong focus at SBO on safety & well being of staff and on its three core values: Compliance, Intervention & Respect.
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.
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Shell is an Equal Opportunity Employer.
Chennai - RMZ Millenia
No. of Positions