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 leading a small team of data scientists 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 leading and executing analytics projects in a business, collaborating with different business stakeholders and other partners, support the implementation of insights to realize tangible value for Shell, manage a team of data scientists (up to 5) 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), brings domain expertise, has applied those skills in solving real world problems across different businesses / functions and has managed small teams in delivering insights.
Lead the execution of analytics projects within the portfolio
Design and articulate the data science solution relevant to the business problem / opportunity
Lead identification of appropriate data science models and evaluate their fitment for the available data
Articulate the insights from the models in business-friendly language and explain the workings of the model for business adoption
Provide support to the business value manager in managing the portfolio
STAKEHOLDER MANAGEMENT SKILL
Forming close relationships with business stakeholders across businesses / functions to comprehensively understand their areas of operation and apply those in project execution
Clearly articulate the challenges / opportunities in business / function that can be supported by analytics
Deliver actionable insights that directly address challenges / opportunities
Guide articulation of business insights and recommendations (based on model output) based on understanding of business / function and respective stakeholders
Understanding of business governance and control structures & selecting the right analytical approaches which are consistent with businesses control / governance framework
Understanding business KPI's, frameworks and drivers for performance
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, Marketing Mix Modeling, Campaign design and effectiveness testing, Network Modeling, Customer segmentation, propensity analysis, customer lifetime value, profitability analysis
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
Proficiency Level : Skill-to-Mastery
Modeling and Technology Skills
Advanced machine learning techniques (supervised and unsupervised) including (but not limited to) :
Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deductionNatural Language Processing, Natural Language Generation
Statistics / mathematics / operations research including (but not limited to) :
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
Specialized analytics tools and technologies (including, but not limited to)
SAS, Python, R, SPSSFor OR (AIMS, Cplex, Matlab)Spotfire, Tableau, QlickviewAwareness of Data Bricks, Apache Spark, HadoopAwareness 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
Evaluate model fit and based on business / function scenario
Proficiency Level : Mastery
The aim of the 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.
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