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Shell Business Operations
Senior Data Scientist
Shell Business Operations
location iconLocations: Kraków
level iconLevel: specialist
time iconWorking hours: Full time
We are looking for:
Senior Data Scientist

Why Work for Shell?


Honest, integrity and respect; "feel free to speak your mind" culture; health and safety rules; diversity & Inclusion culture
An energy leader
Meaningful work in a company that is universally respected as a truly global energy leader {one of the world's biggest employers according to Fortune Global 500}. Join us and have a real impact on the operations of one of the world's largest companies.
Vibrant community
Become a part of a highly-driven team and get to know Shell's unique culture based on inclusiveness and collaboration.
Opportunies for growth
Spread your wings thanks to innumerable opportunities that Shell Business Operations Krakow offers its emloyees.
Impactful collaboration
Be an important participant of an international project.

Why Work for Shell?


Honest, integrity and respect; "feel free to speak your mind" culture; health and safety rules; diversity & Inclusion culture
  • An energy leader
    Meaningful work in a company that is universally respected as a truly global energy leader {one of the world's biggest employers according to Fortune Global 500}. Join us and have a real impact on the operations of one of the world's largest companies.
  • Opportunies for growth
    Spread your wings thanks to innumerable opportunities that Shell Business Operations Krakow offers its emloyees.
  • Vibrant community
    Become a part of a highly-driven team and get to know Shell's unique culture based on inclusiveness and collaboration.
  • Impactful collaboration
    Be an important participant of an international project.

Thanks to cooperation with Shell you gain:

  • Comfortable working environment: newly-built modern office with its own canteen, relax rooms, bike & car pakingspace
  • Improved accessibility of office and sanitary facilities
  • Energetic atmosphere at work
  • Attractive salary package
  • Shell Card
  • Additional funds for trainings and certifications (ACCA, CIMA, CIPS, Lean Six Sigma)
  • Complex medical care and individual life insurance
  • Assistive technologies and reasonable adjustments for people with disabilities
  • Non-monetary benefits (e.g. MultiSport Card, vouchers for cultural and free time activities, 12 sports sections, and many more)
  • Attractive relocation allowance available once relocating from another country

The Role:

  • Finance & Data Operations Data Science Team is tasked with delivering tangible value to business units globally across Shell through data-driven decision making.
  • This position is based in Shell Krakow office with the primary responsibility to work on data science projects in Shell Retail, Fleet Solutions and E-mobility business.
  • Incumbent will be responsible for leading and executing analytics projects using range of cloud technologies, collaborating with different stakeholders like Sales, Marketing, Finance and Customer Services, as well as supporting the implementation of insights to realize tangible commercial value for Shell.
  • The ideal candidate has strong background in quantitative skills (like statistics, mathematics, advanced computing, machine learning), brings domain expertise in one of the business areas, has applied those skills in solving real world problems and is able to lead projects independently

Purpose

  • Support the Data Analytics team in design, execution and leading of data science projects
  • Work with data and technology experts to help execute analytics projects and deploy solutions

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:

  • Strong experience in machine learning techniques (supervised and unsupervised)/ statistics/mathematics (at least in one area) as described below:
    • Machine learning techniques: Decision Trees, Neural Networks, Deep Learning, Support Vector Machines, Clustering, Bayesian Networks, Reinforcement Learning, Feature Reduction / engineering, Anomaly deduction
    • Statistics / Mathematics: Data Quality Analysis, Data identification, Hypothesis testing, Univariate / Multivariate Analysis, Cluster Analysis, Classification/PCA, Factor Analysis, Linear Modeling, Time Series, DoE, distribution / probability theory
  • Strong experience in specialized analytics tools and technologies (including, but not limited to)
    • Python, R, SQL
    • Power BI
    • Ability to search, extract, load & visualize data from data bases using pre-defined reports and new ad hoc queries (using BI self service)
    • Spark/Databricks skills preferred
    • Experience in AI, data engineering and data visualization with an emphasis on telematics is preferred
  • 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 based on business/function scenario
  • Experience in Projects Management methodologies is preferred (e.g. Agile, Scrum)
  • Industry / Functional experience (preferable; including, but not limited to) in either:
    • Customer / Marketing
    • Pricing
    • Telematics
    • Predictive maintenance
    • Fraud detection
    • Churn prediction
  • 4+ years in data science on a global role or in various locations
  • Master’s degrees in Mathematics, Statistics, Engineering, Technical Finance, Econometrics, or other quantitative areas
  • Good communication and influencing skills
  • Eagerness to learn and ability to work under limited supervision
  • A self-starter, able to work on initiative with a strong desire to learn
  • PhD in Mathematics, Statistics, Engineering, Technical Finance, Econometrics, or other quantitative areas would be treated as strong asset

About us

Royal Dutch Shell is a global group of energy and petrochemicals companies, operating in over 80 countries and territories and employing more than 90,000 people. Our core values of Honesty, Integrity and Respect for People define who we are and how we work. Royal Dutch Shell has developed a global network of Shell Business Operations to provide first-class services to Shell companies across the world.

Shell in Kraków:

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 Polska employs more than 4400 professionals: 4100+ in Kraków and 200 in Warsaw.

Our employees represent over 50 nationalities and operate in over 20 defferent languages.

Shell in Kraków departments:

Customer Operations
Contracting&Procurement
Trading&Supply
Finance Operations
HR Service
External Relations
Internal Communications
Order to Delivery
Lubricants Supply Chain
Legal
Retail
Technical Asset Operations
Creative Solutions

People with disabilities are welcome to apply as we provide reasonable accommodations and assitive technologies for people with diverse disabilities.

Contact us:

This job is no longer available

Recruitment process for this position has ended.

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Details

  • iconAnalytics & Reporting, IT, BPO/SSC
  • iconEnglish
  • iconKraków, małopolskie

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