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.
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 to respective stakeholders
Understanding business KPI's, frameworks and drivers for performance
Industry / Functional Expertise :
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
Supply Chain / Spend : Demand & Supply Forecasting, Spend Analytics, Vendor Scoring, Pricing analysis (buy-side), product substitution analysis, product portfolio optimization
Functional Analytics : Order-to-cash, Procure-to-Pay, Record-to-Report, Tax (Direct & Indirect), Financial Risk and Assurance (controls and governance), Master Data Management
Trading & Risk Management : Across Credit & Market 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
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
Strong experience in specialized analytics tools and technologies (including, but not limited to)
SAS, Python, R, SPSS, Spotfire, Tableau, Qlickview
For Operations Research (AIMS, Cplex, Matlab)
Awareness of Data Bricks, Apache Spark, Hadoop
7+ years of relevant experience
Good interpersonal communication skills and influencing skills
Eagerness to learn and ability to work with limited supervision
Shell in Krakow sits at the centre of Shell’s global businesses, providing an operational backbone to our essential business functions.
Working in a vibrant community with strong values and a supportive culture, a job at Shell will offer the chance to build a lasting and meaningful career.
As one of 5 Business Operations centres located worldwide, we will give you the chance to interact and work with people across the world, helping to deliver excellent support to business clients and stakeholders.
Shell is an Equal Employment Opportunity Employer of Minorities, Females, LGBT, and Individuals with Disabilities.
Thanks to cooperation with Shell you gain :
People with disabilities are welcome to apply as we provide reasonable accommodations and assistive technologies for people with diverse disabilities.
We occasionally amend or withdraw Shell jobs and reserve the right to do so at any time, including prior to the advertised closing date.
Before applying, you are advised to read our data protection policy. This policy describes the processing that may be associated with your personal data and informs you that your personal data may be transferred to Royal Dutch / Shell Group companies around the world.
The Shell Group and its approved recruitment consultants will never ask you for a fee to process or consider your application for a career with Shell.
Anyone who demands such a fee is not an authorised Shell representative and you are strongly advised to refuse any such demand.