Data Scientist - Hedging & Risk Management (Renewables)

ENGIE North America is seeking a highly analytical and technically skilled Data Scientist to join the Hedging & Risk Management team supporting our renewable energy portfolio. In this role, you will apply advanced analytics, data science, and technology to transform complex markets, portfolio, and risk data into actionable insights that strengthen decision-making and support the financial performance of our renewable assets.

Responsibilities

• Digital Transformation & Process Optimization
  • Design and implement scalable digital solutions that replace manual processes, improve operational efficiency, and strengthen decision-making across Hedging & Risk Management
  • Maintain and enhance digital platforms supporting renewable energy and battery energy storage system (BESS) activities
  • Identify and implement opportunities to automate data collection, validation, workflow, and reporting processes
  • Drive continuous improvement initiatives across risk management, hedging, and commercial operations
• Advanced Analytics & Model Development
  • Develop predictive models, optimization algorithms, and analytical frameworks that support portfolio, commercial, and risk management objectives
  • Apply statistical modeling, machine learning, and quantitative techniques to evaluate market, operational, and portfolio performance
  • Build scalable analytical tools for forecasting, scenario analysis, sensitivity analysis, and performance benchmarking
  • Translate complex data and model outputs into actionable insights for business stakeholders
• Risk Analytics & Portfolio Insights
  • Design methodologies to identify, quantify, monitor, and visualize market, operational, and financial risk exposures across renewable and battery storage portfolios
  • Develop risk metrics, analytical frameworks, and dashboards that improve visibility into portfolio exposures and performance
  • Perform stress testing and sensitivity analysis to evaluate portfolio response to changing market and operational conditions
  • Enhance risk reporting capabilities through improved analytics, automation, and data visualization
• Hedging & Portfolio Strategy Support
  • Partner with Group Risk, short-term trading, and commercial teams to evaluate hedging strategies, market exposures, and portfolio performance
  • Deliver quantitative analysis that supports price risk management, portfolio optimization, and strategic decision-making
  • Develop tools and methodologies to assess hedge effectiveness, market exposure, and the financial impacts of alternative hedging strategies
  • Provide analytical support for evolving renewable and BESS risk management strategies
• Business Intelligence & Data Visualization
  • Automate recurring financial, portfolio, and risk reporting using modern data platforms and business intelligence tools
  • Develop dashboards and self-service analytics solutions using Power BI and other visualization platforms
  • Transform complex datasets into intuitive visualizations that enable stakeholders to quickly understand trends, exposures, and performance
  • Maintain data quality, integrity, governance, and traceability across analytical models, tools, and reporting solutions

Requirements

• Education & Technical Expertise
  • Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Economics, Finance, or a related quantitative discipline; a master’s degree in a quantitative discipline may complement relevant experience but is not required
  • Minimum seven (7) years of relevant experience in data science, advanced analytics, quantitative or predictive modeling, market risk analysis, hedging, or related analytical roles
  • Advanced proficiency in Python with experience developing reliable, scalable analytical solutions
  • Proficiency in SQL and experience working with relational databases, complex datasets, and cloud-based data and analytics platforms such as Databricks, Microsoft Fabric, Azure, Snowflake, or comparable technologies
  • Experience applying statistical modeling, machine learning, optimization, forecasting, or other quantitative techniques to solve business problems
  • Proficiency with business intelligence and data visualization tools such as Power BI, Tableau, or equivalent platforms
• Analytics, Communication & Delivery
  • Demonstrated analytical and problem-solving capabilities with the ability to translate complex data, models, and findings into meaningful business insights
  • Ability to communicate technical concepts and recommendations clearly to technical and non-technical stakeholders
  • Demonstrated ability to manage analytical initiatives from development through implementation and continuous improvement while collaborating effectively across cross-functional teams
  • Commitment to data quality, accuracy, governance, and analytical integrity
• Preferred Experience
  • Experience with energy markets, renewable energy, battery storage, power generation, commodity trading, quantitative finance, or market risk management
  • Knowledge of North American wholesale power markets such as ERCOT, CAISO, PJM, MISO, or SPP
  • Knowledge of hedging instruments, financial derivatives, portfolio analytics, or market risk management concepts
  • Experience developing forecasting, optimization, portfolio analytics, or risk management solutions
  • Familiarity with software engineering practices including version control, testing, CI/CD, or cloud deployment
  • Experience applying artificial intelligence, including generative AI, to analytics, forecasting, automation, or decision-support processes

Additional Details

• This role is eligible for our hybrid in-office work policy
• Must be available to travel domestically up to 10% of the time with the need for some overnight trips
• Must be willing and able to comply with all ENGIE ethics and safety policies

Pay

Salary Range: $117,300 – $179,860 USD annually. This represents the average expected pay range for a qualified candidate. Actual salary offered may vary depending on geography, experience, education, internal pay alignment, or other bona fide factors. In addition to base pay, this position is eligible for a competitive bonus / incentive plan.

Benefits

• Comprehensive benefits package including options for medical, dental, vision, life insurance, employer-paid short-term and long-term disability insurance, ESPP, and generous paid time off including wellness days, holidays, and leave programs
• 401(k) Retirement Savings Plan with a company match
• Supplemental benefits for emotional and physical well-being through all stages of life from family forming to caregiver benefits