Job description:

General Position Definition:

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.

 

Purpose:

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

Dimensions:
Support design and delivery of analytics projects, within or cutting across upstream and downstream business units in Shell
Special Challenges
Rapid onboarding on projects, understanding analytics goal and working with ill-defined datasets
Communicating technical jargon in plain English to colleagues within Data Science team and outside
Virtual working with network of colleagues located throughout the globe

Requirements:
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
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
 
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
 

Modeling and Technology Skills:

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
 
This role is ideally suited for (but not limited to) individuals with Process Expert/Architect/Design profile
Experience/knowledge in specialized analytics tools and technologies (including, but not limited to)
Celonis, Process X-ray, Process Gold, PROM, Disco (any 1)
SAS, Python, R, SPSS (nice to have)
PowerBI, Spotfire, Tableau, Qlickview (any 1)
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

Number of Vacancies: 3

• Meaningful work in a company that is universally respected as a truly global energy leader (one of the world’s biggest companies according to Fortune Global 500)
• Unique opportunity to fulfill your potential with personal and professional development programs
• Work in a smart and motivated team within a supportive and inclusive culture with strong values
• Attractive salary and bonuses
• Complex medical care and individual life insurance
• Sports programme & facilities e.g. Multisport Benefits Card, vouchers for free time activities
• Good atmosphere at work and comfortable working environment: own canteen and a few relax rooms
• Opportunity to participate in social and community projects