Senior Data Scientist - Data Modeling & Quality
Role details
Job location
Tech stack
Job description
SPM plays a vital role in modeling and hedging energy risks for client portfolios. The function is evolving from locally fragmented teams to a more centralized, harmonized approach. Key transformation initiatives include:
- Establishing a central SPM entity to develop consistent methods and tools
- Building a collaborative, cross-geography SPM community
- Supporting career growth for portfolio managers
- Promoting best practices and unified risk representation
- Implementing scalable, automated systems for improved forecasting, pricing, and contract management, As senior data scientist in the core business team of the TrueWatts domain, you will:
- Identify and analyze patterns of inconsistencies across the various available data sources.
- Develop and implement algorithms to correct detected inconsistencies.
- Design and deploy operational quality monitoring dashboards for use by Middle Offices.
- Work daily to enable Middle Offices to effectively fulfill their responsibilities across different Supply processes, including forecasting, pricing, billing, closing, and customer care.
- Support the industrialization of data processing solutions developed by the business team in collaboration with IT teams.
Requirements
- Data Platforms & Environment
- Expert command of Databricks (Spark, notebooks, Delta Lake) to design, build, and scale data workflows end-to-end.
- Deep understanding of cloud data environments (Azure or AWS) and modern data pipeline orchestration (Delta Live Tables, workflow automation).
- Data Engineering & Quality Management
- Advanced proficiency in SQL and PySpark for large-scale data transformation, integration, and quality control.
- Proven experience designing robust inconsistency detection frameworks (validation layers, anomaly detection, quality metrics).
- Capability to develop and implement automated correction algorithms, from business rule definition to deployment in production.
- Solid knowledge of data quality governance, including testing, monitoring, and continuous improvement.
- Data Science & Analytical Insight
- Strong skills in Python (pandas, scikit-learn, PySpark MLlib) for advanced analysis, pattern discovery, and model development.
- Ability to design analytical approaches to uncover hidden patterns, detect anomalies, and explain data discrepancies.
- Proven experience in timeseries management and statistics
- Track record of translating complex business challenges into actionable data models and measurable outcomes.
- Industrialization & Delivery
- Experience deploying, scaling, and maintaining data science solutions in production environments.
- Familiarity with DevOps/MLOps practices (CI/CD, version control, testing, monitoring) to ensure reliability and reproducibility.
- Strong focus on documentation, traceability, and maintainability of solutions over time.
- Demonstrated expertise in managing Git repositories, including branching strategies, code reviews, and collaborative workflows, as well as maintaining comprehensive and up-to-date project documentation within Git platforms., Leadership, Initiative & Collaboration
- Proven ability to take initiative: propose new analytical approaches, identify opportunities for data quality improvement, and challenge existing processes.
- Comfortable collaborating with business and technical stakeholders, turning complex data insights into strategic recommendations.
- Capable of leading operational adoption of solutions, supporting users, and driving continuous enhancement of the data ecosystem., * Engineering degree or business school, master
- 5 years' experience in similar role is required
Benefits & conditions
ENGIE Global Energy Management & Sales is committed to create a gender-neutral environment that unlocks the potential of everyone and provide equal employment opportunities for all individuals.
All our positions are open to people with disabilities, please let your recruiter know if you need reasonable accommodations to be able to participate in the recruitment process, they will be happy to assist you.
About ENGIE:
Our group is a global reference in low-carbon energy and services. Our purpose ("raison d'être") is to act to accelerate the transition towards a carbon-neutral world, through reduced energy consumption and more environmentally-friendly solutions, reconciling economic performance with a positive impact on people and the planet. We rely on our key businesses (gas, renewable energy, services) to offer competitive solutions to our customers. With our 170,000 employees, our customers, partners and stakeholders, we are a community of Imaginative Builders, committed every day to more harmonious progress
Business Unit: Supply & Energy Management Division: EC SUPPLY PORTFOLIO MANAGEMENT Legal Entity: ENGIE Global Markets S.A.S. Professional Experience: Skilled ( >3 experience <15 years) Education Level: Master's Degree Company Name: Supply and Energy Management