Data Science

Key Skills

Java Programming, Finance, SAP, Python Programming, SQL, PowerBI, Machine learning techniques, Data science techniques, Alteryx, Data Analytics, R Programming, Statistics, Mathematics

Job Description

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 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 good background in quantitative skills (like statistics, mathematics, advanced computing) and has applied those skills in solving real world problems.

Data Scientist

If you are an experienced 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 the data scientist you’re going to be responsible for:

• End to end delivery of specific analytics projects in
• 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 
• Develop 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 standard 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, stakeholder engagement skills. Experience of presenting customer centricity solutions and understanding of the business will also be a key skill for this role.

Furthermore, you will have:

• Min 3 years of strong experience in data science/Analytics, particularly Machine Learning
• Should have completed 1 to 2 projects in finance or Renewables domain using analytics
• Understanding of the financial accounting is an additional advantage
• Experience in SQL, SAP, Power BI/Alteryx, Python/R and Alteryx would be essential
• Expertise in Statistics / Mathematics
• Expertise in Advanced Timeseries forecasting techniques, Advanced Machine learning techniques