Junior Data Scientist – Energy AI & Optimization

Description

POSITION DESCRIPTION:

We are seeking a motivated Junior Data Scientist (Temporary) to join our Grid \& Energy Analyticsteama short‑term assignment. This role is ideal forgraduatestudents currently studying datascience, computer science, engineering, or applied mathematics, who are excited about applying AI techniques to real‑world energy systems.

During this internship, the candidate will work closely with senior data scientists and the wholesale market applications team to build and fine‑tune energy AI agents, contribute to forecasting and optimization models, deploy AI models into production‑grade systems, and gain hands‑on exposure to state‑of‑the‑art research in energy optimization and agentic AI.

Responsibilities

• Assistin building, fine‑tuning, and evaluating AI agents designed for energy forecasting, decision‑making, and optimization tasks.
• Support development of time‑series models for forecasting energy demand, solar generation, wholesale market prices, and ancillary services.
• Help explore and test new ML algorithms orMLOpsarchitectures relevant to energy system challenges.

Data Engineering \& Model Evaluation

• Clean, preprocess, and analyze large‑scale energy datasets using Python‑based data science tools.
• Help evaluate model performance, perform error analysis, and implement incremental improvements.

Production Model Deployment

• Work with senior engineers to package, test, and deploy AI/ML models in real operational environments.
• Assistin monitoring model performance and troubleshooting basic issues in production workflows.

Research \& Experimentation

• Stayup-to-datewith emerging techniques in ML, forecasting, and AI agent design.
• Contribute to internal experiments investigating novel approaches for energy optimization and real‑time decision‑making.

Collaboration \& Communication

• Collaborate with the data science team, wholesale market applications team, and software engineering teams.
• Present findings, experiments, and results in informal team updates.

Required Qualifications

• Education - Currently enrolled inor recently completedan undergraduate orgraduateprogram in data science, computer science, engineering, applied mathematics, statistics, or a related field.

Technical Skills

• Basicproficiencyin Python and common data science libraries (pandas,numpy, scikit‑learn, matplotlib).
• Familiarity with machine learning concepts (regression, classification, time‑series basics).
• Coursework or project experience in ML, AI, optimization, or statistics.
• Interest in learning about energy markets, renewable energy systems, and energy optimization.

Soft Skills

• Strong curiosity and willingness to learn.
• Ability to work collaboratively with cross‑functional technical teams.
• Good communicationskills andabilityto present findings clearly.
• Self‑driven, organized, and comfortable with fast‑paced environments.

Preferred Qualifications

• Familiarity with energy systems, renewable energy, or electricity markets.
• Exposure todeep learning tools (PyTorch, TensorFlow) or time‑series packages (nixtla).
• Experience with AI agents, reinforcement learning, or RAG pipelines.
• Previousinternship or project experience with ML orMLOpstools.

What You Will Learn

• How real‑world energy AI agents are built anddeployed.
• How production‑grade forecasting models are tested, scaled, andmonitored.
• How the electricity grid, energy markets, and renewable assets interact.
• Best practices in software engineering,MLOps, and data science workflows.
• Exposure to cutting‑edge AI and optimization research used inside a global renewable energy company.

DURATION \& STRUCTURE

• Flexible: 1 - 6 months
• Timing: May 19, 2026 – August 19, 2026
• Full‑time

Hanwha Q CELLS Technologies, Inc. a subsidiary of Hanwha Q CELLS, one of the world´s largest and most recognized photovoltaic manufacturers for its high-performance, high-quality solar cells and modules. It is headquartered in Seoul, South Korea (Global Executive HQ) Talheim, Germany (Technology \& Innovation HQ) and Santa Clara, CA, USA (HW and SW Product Development HQ). Through its growing global business network spanning Europe, North America, Asia, South America, Africa, and the Middle East, the company provides excellent services and long-term partnerships to its customers in the utility, commercial, government, and residential markets. Hanwha Q CELLS is a flagship company of Hanwha Group, a FORTUNE Global 500 firm and a Top 7 business enterprise in South Korea.

Physical, Mental \& Environmental Demands

To comply with the Rehabilitation Act of 1973 the essential physical, mental and environmental requirements for this job are listed below. These are requirements

normally expected

to perform

regular

job duties. Incumbent must be able to successfully perform all of the functions of the job with or without reasonable accommodation.

Mobility

Standing

20% of time

Sitting

70% of time

Walking

10% of time

Strength

Pulling

up to 10 Pounds

Pushing

up to 10 Pounds

Carrying

up to 10 Pounds

Lifting

up to 10 Pounds

Dexterity

(F \= Frequently, O \= Occasionally, N \= Never)

Typing

F

Handling

F

Reaching

F

Agility

(F \= Frequently, O \= Occasionally, N \= Never)

Turning

F

Twisting

F

Bending

O

Crouching

O

Balancing

N

Climbing

N

Crawling

N

Kneeling

N

The salary range is required by the California Pay Transparency Act and may differ depending on the location of those candidates hired nationwide. Actual compensation is influenced by a wide array of factors including but not limited to, skill set, education, licenses and certifications, essential job duties and requirements, and the necessary experience relative to the job’s minimum qualifications.

• This target salary range is for CA positions only and should not be interpreted as an offer of compensation.

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