ENGIE GLOBAL MARKETS : ENERGY MARKET – MODELS & DATA ANALYST (H/F)

Poste
Volontariat International en Entreprise (V.I.E) (12 mois)
Niveau d'étude
Bac+5 (Master / Ingénieur)
Métier
Conseil : Conseil en NTIC
Localisation
Gurgaon, Inde

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Présentation de la société : ENGIE GLOBAL MARKETS

ENGIE Global Energy Management & Sales (GEMS) provides energy supply solutions and risk management services to support its clients through their decarbonization journey, while optimizing ENGIE’s assets and contributing to value creation.

ENGIE is a global reference in low-carbon energy and services with a leading energy management business, piloted by its entity "Global Energy Management & Sales" who built its savoir-faire managing the Group’s large and diverse asset portfolio over 20+ years.

3, 300 employees around the world develop our solutions, through +20 international business platforms. We cover the full energy mix: renewable and thermal power, natural gas & LNG, biomass, environmental products. Our experts provide tailor made solutions based on a wide range of savoir-faire in energy management with a strong focus on decarbonation and decentralization.

Our +120, 00 clients span the entire value chain: producers, asset developers, financial players, utilities, distributors and industrials. Our global reach and strong local presence enable us to offer these diverse clients tailor-made services and respond to rapid changes in mature or emerging markets alike.

Our 4 expertise:
  • Asset management
  • Energy transition services
  • Energy supply & global commodities
  • Risk management & market access
At GEMS we encourage breakthrough results, team spirit, curiosity and innovation while preserving the right work/life balance for you.

Missions

ENGIE is a global energy company, a leading provider of electricity, natural gas, and energy services. With 100 000 employees in more than 70 countries worldwide, ENGIE achieved revenue of €95 billion in 2023. ENGIE is committed to being a leader in the energy transition. We are looking for talented and motivated people to
create the future of energy. Join a rewarding and flexible work environment that encourages innovation and creativity, and help us meet the energy challenges of today and tomorrow.
The Supply & Energy Management (S&EM) business unit is the fully integrated trading arm of the ENGIE Group. S&EM teams manage a large and highly diversified energy portfolio, including electricity, natural gas, biomass, LNG and other fuels, CO2 and environmental products, and provide a range of trading risk management solutions to all types of market participants in Europe, Asia Pacific and in the Americas. S&EM
manages the B2B supply business within ENGIE, including supply contracts and Power Purchase Agreements.
Within the S&EM Business Unit, BP APAC is responsible for S&EM activities in Asia Pacific & Middle East & aims at managing and developing the group’s trading activities for these regions around 4 main pillars: risk management and market access, asset management, green solutions and energy supply businesses. BP APAC as part of this expansion strategy for developing Asset Management business has set up a platform in India to support RGBU / group development and develop its commercial franchise.

The missions of INDIA set up are :
  • Support the development and the operations of the other GBUs in all aspects related to financial representation and asset management
  • Develop Merchant access and commercial franchise which contributes to the overall Financial management of the portfolio and generates value
We are seeking a highly motivated and technically skilled Digital Automation & AI Engineer to join our growing Energy Management in India. This role will be instrumental in designing and implementing intelligent automation solutions, developing AI-driven models using Python, and managing robust data
infrastructure to support the development of our Energy Management & Trading platform in India.

Key Responsibilities:
  • Automation & AI Development for Energy Management
1. Design, develop, and deploy automation workflows using AI and machine learning
techniques – mostly for Front Office.
2. Build predictive and prescriptive models using Python for business optimization.
3. Integrate AI models into digital platforms and business processes.
  • Data Management & Infrastructure
1. Manage and optimize data pipelines, storage solutions, and data architecture.
2. Ensure data quality, integrity, and accessibility across systems.
3. Collaborate with IT and DevOps teams to maintain scalable and secure data infrastructure.
  • Digital Innovation
1. Identify opportunities for digital automation across departments.
2. Prototype and test new digital tools and AI applications.
3. Stay current with emerging technologies in AI, automation, and data engineering.
  • Collaboration & Communication
1. Work closely with cross-functional teams including IS, data scientists, analysts, and business
stakeholders in Europe & Singapore.
2. Translate business requirements into technical solutions.
  • Document processes, models, and system architecture.

Profil recherché

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • First experience in automation, AI/ML, or data engineering.
  • Proficiency in Python for data modeling, scripting, and automation.
  • Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) .
  • Strong knowledge of data infrastructure tools (e.g., SQL, Spark, Airflow, cloud platforms like
AWS/GCP/Azure) .
  • Familiarity with APIs, microservices, and containerization (Docker/Kubernetes) is a plus.
  • Excellent problem-solving skills and a passion for innovation & Renewable Energy
Preferred Skills:
  • First experience/exposure to RPA tools (e.g., UiPath, Automation Anywhere….) .
  • Knowledge of MLOps and CI/CD pipelines for AI models.
  • Understanding of data governance and compliance standards.
Soft Skills
  • Resourceful, thrives in a continuous learning environment and has an interest in digital
transformation.
  • Strong drive for results and complex problems solving skills coupled with the ability to build solid
strategic working relationships
  • Strong analytical and critical thinking skills with the ability to propose positive business solutions to
complex problems, keeping in mind the big picture
  • Strong organizational and follow-through skills – must be dependable, proactive and prompt
  • Strong work ethics.
  • You are able to multitask and meet timelines
  • Self-Organized strong organizational skills

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