Data Scientist
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Job Location:
Amsterdam - Netherlands
Monthly Salary:
Not Disclosed
Posted on:
20 hours ago
Vacancies:
1 Vacancy
Job Summary
Position Description:
You are a Data Scientist who bridges the worlds of advanced AI/ML and subsurface domain expertise. You possess strong Python capabilities combined with a deep understanding of Oil & Gas subsurface and wells challenges. Your passion lies in translating complex geoscience problems into elegant data science solutions that drive measurable business impact.
You thrive at the intersection of data science subsurface domain knowledge and digital platforms (including OSDU). You naturally build trust and collaborate with geoscientists wells engineers and data engineers speaking both their technical language and yours.
Your Impact & Success Indicators
Data Analysis & Insights
- Analyse large and complex datasets to identify trends patterns and insights
- Develop clear and actionable analyses to support business and operational decisions
- Perform exploratory data analysis (EDA) and statistical analysis
- Translate stakeholder questions into analytical approaches and outputs
Technical Excellence & Innovation
You demonstrate mastery in developing and operationalizing AI/ML solutions that unlock subsurface value. You build production-grade models using Python creating reusable pipelines that become organizational assets. Your statistical rigor and pattern recognition capabilities transform complex datasets into actionable intelligence.
Success looks like:
- Within 6 months: Deliver 2 AI/ML models solving critical subsurface or wells challenges
- Within 12 months: Establish reusable ML frameworks reducing time-to-insight by 40%
- Ongoing: Maintain model performance above agreed thresholds with clear explainability
Domain Value Creation
You translate subsurface complexity into data science opportunity. Whether optimizing drilling operations interpreting seismic features predicting well log properties or forecasting production you understand the geological and engineering context behind the data. You speak the language of geoscientists and wells engineers earning their trust through domain credibility.
Success looks like:
- Drive 3 high-value use cases annually (seismic interpretation drilling optimization production forecasting)
- Influence critical subsurface decisions through model insights
- Become a trusted technical advisor to domain teams
Operational Excellence & MLOps
You champion responsible AI and MLOps best practices ensuring models are not just built but sustainably operated. You collaborate effectively with data engineers establishing robust validation monitoring and governance processes. Your models are explainable reproducible and aligned with enterprise standards including OSDU.
Success looks like:
- Deploy models to production with full observability and monitoring
- Establish feedback loops ensuring continuous model improvement
- Contribute to organizational AI governance and standards
Collaboration & Enablement
You multiply your impact through others sharing knowledge mentoring peers and elevating the data science capability across teams. You communicate complex AI concepts clearly to non-technical stakeholders building organizational AI literacy.
Success looks like:
- Enable 2 team members to apply ML techniques independently
- Deliver insights that non-technical stakeholders can act upon confidently
- Contribute to shared codebases documentation and best practices
Required Skills & Experience
Subsurface & Wells Domain Mastery
You bring credible understanding of subsurface and wells workflows having worked hands-on with:
- Seismic data (2D / 3D / 4D) and interpretation challenges
- Well logs trajectories and petrophysical analysis
- Drilling operations completion design and production surveillance
You understand the geological context behind the data you know what anomalies matter what patterns are geologically plausible and how to validate models against domain knowledge. Geoscientists and engineers respect your technical depth and value your perspective.
Data Science & AI Craftsmanship
You are fluent in Python for data science and machine learning with battle-tested experience across:
- Core libraries: NumPy Pandas SciPy for data manipulation and statistical analysis
- ML frameworks: scikit-learn for classical ML TensorFlow and/or PyTorch for deep learning
- Techniques: time-series forecasting classification regression clustering and anomaly detection
You stay current with emerging AI capabilities (generative AI foundation models) while maintaining pragmatism about when and how to apply them.
Enterprise Data Platforms
You are comfortable working with large-scale data infrastructure:
- Data lakes and lakehouse architectures handling terabytes of subsurface data
- Cloud platforms (Azure and/or AWS) for compute storage and ML services
- Industry standards like OSDU for data integration and interoperability
- Modern ML tooling: notebooks experiment tracking model registries and CI/CD pipelines
Professional Foundation
- Bachelors or Masters degree in Data Science Computer Science Mathematics Geoscience Petroleum Engineering or related field
- Typically 47 years applying data science in complex technical domains
- Prior experience in Oil & Gas or subsurface-focused contexts strongly preferred
Who you are
Mindset & Approach
- Intellectually curious: You ask why and what if constantly exploring new techniques while grounded in business value
- Pragmatic problem-solver: You balance theoretical elegance with practical impact shipping solutions that work
- Domain learner: You invest time understanding the geology physics and engineering behind the data
- Value-driven: You measure success by business outcomes not model accuracy alone
- Quality-focused: You take pride in robust reproducible explainable models
Collaboration Style
- Bridge builder: You connect technical and domain worlds translating between data science and subsurface languages
- Team multiplier: You elevate others through knowledge sharing mentoring and collaborative problem-solving
- Clear communicator: You explain complex AI concepts to diverse audiencesfrom engineers to executives
- Trusted partner: You build credibility through delivery transparency and domain respect
Growth Orientation
- Continuous learner: You stay current with evolving AI/ML techniques and industry trends
- Feedback seeker: You actively seek input from domain experts and stakeholders to improve models
- Responsible AI advocate: You champion ethical explainable and governed AI practices
Differentiators That Set You Apart
- Experience with enterprise subsurface programs (Shell major operators) or OSDU implementations
- Hands-on MLOps expertise: CI/CD for models production deployment monitoring at scale
- Advanced techniques: physics-informed ML optimization hybrid modelling combining data-driven and mechanistic approaches
- Leadership in responsible AI and model governance frameworks
Why CGI
CGI is one of the worlds largest IT consulting the Netherlands we work on impactful projects for among others governments banks and organizations in infrastructure energy and industryprojects that affect the daily lives of millions of people. We combine local involvement with global expertise and work in small self-managing teams where diversity and inclusion are central. We look forward to your contribution to our team.
What we offer you
At CGI we combine challenging projects with excellent employment conditions:
-A permanent contract from the start
-A competitive salary aligned with your seniority
-8% holiday allowance
-Bonus and profit-sharing scheme
-20 statutory and 5 additional vacation days
-Lease budget / mobility budget
-NS Business Card
-Bicycle plan via CGI
-Option to invest in CGI shares
-Health insurance allowance of 116.35 gross per month
-40 net work-from-home allowance per month
-A solid pension scheme
-Hybrid working
Join our team of experts and apply now!
We will contact you as soon as possible.
Do you have questions about the role Contact Faisel Kioe A Sen Director Consulting Services at
For questions about the application process you can contact Nick Damen Recruitment Business Partner at
We do not work with external recruitment agencies. Unsolicited acquisition is therefore not appreciated.
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What you can expect from us:
Together as owners lets turn meaningful insights into action.
In 1976 opgericht als een familiebedrijf is CGI vandaag de dag een van de grootste onafhankelijke zakelijke en ICT-dienstverleners ter wereld. Bij ons draait het om ownership teamwork en respect. Je krijgt de ruimte om al je talenten volledig te ontplooien.
Vanaf je eerste werkdag ben je mede-eigenaar van CGI. We profiteren samen van ons succes en je krijgt de kans én verantwoordelijkheid om actief bij te dragen aan de koers en strategie van ons bedrijf.
Jouw inzet voegt waarde toe. Je werkt aan innovatieve oplossingen en bouwt aan je netwerk van collegas en klanten. Je hebt toegang tot wereldwijde kansen om je ideeën te realiseren mogelijkheden te benutten en te profiteren van onze kennis van de industrie en technologische expertise.
Ontdek bij ons de mogelijkheden voor jouw persoonlijke ontwikkeling en zet de volgende stap in je carrière. Hier staat jouw succes centraal!
Required Experience:
IC
Key Skills
About Company
The COMPANY is one of the few end-to-end consulting firms with the scale, reach, capabilities and commitment to meet clients’ enterprise digital transformation needs. Our 77,500 consultants and professionals work side-by-side with clients in 10 industries across more than 400 location ... View more
