Data Scientist – AI Solutions for Electrification

Dear Aspirant!

We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like you? Then it seems like you’d make a great addition to our vibrant international team.

We are looking for: Senior Software Architect – (Data Scientist – AI Solutions for Electrification),

You’ll make an impact by:

• Lead the development of Machine Learning (ML), Deep Learning, and Reinforcement Learning solutions from experimentation to production.
• Identify and frame high-impact opportunities for AI/ML across product workflows and operational processes.
• Perform rapid PoCs and feasibility studies to validate new ideas using real-world datasets.
• Define success metrics and develop robust evaluation strategies to measure the effectiveness and accuracy of ML models.
• Collaborate with product managers, software developers, data engineers, and cloud architects to integrate ML models into scalable systems.
• Select appropriate infrastructure based on performance, cost, and latency constraints, ensuring support for online learning, batch inference, and A/B testing.
• Contribute to data strategy, feature engineering, and feedback loops to continuously improve model performance.
• Ensure responsible AI practices, including model transparency, fairness, explainability, and observability.

Use your skills to move the world forward!

• Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, or a related quantitative field.
• 10+ years of software engineering experience with minimum 5 years of experience in applying ML and DL to solve real-world problems.
• Strong expertise in supervised, unsupervised, and reinforcement learning techniques.
• Experience building and deploying models using frameworks like scikit-learn, TensorFlow PyTorch, or XGBoost.
• Proficient in Python and data manipulation libraries such as Pandas, NumPy, and SQL.
• Familiarity with cloud-based AI workflows using AWS (Sagemaker, Bedrock) and/or Azure (ML Studio, OpenAI Service).
• Solid understanding of evaluation metrics, bias/variance tradeo_¯s, and tuning strategies.
• Hands-on experience with scalable data pipelines, streaming data processing, and distributed training setups.
• Awareness of observability and monitoring practices for models in production.
• Experience working with business stakeholders to translate domain problems into data science solutions.
• Previous experience in the Power, Energy, or Electrification sectors is a strong advantage.
• Experience with experiment tracking tools like MLflow or Weights & Biases, and model versioning systems.

Create a better #TomorrowWithUs!

This role is based in Bangalore, where you’ll get the chance to work with teams impacting entire cities, countries - and the shape of things to come.

We’re Siemens. A collection of over 312,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we encourage applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Find out more about Siemens careers at: www.siemens.com/careers

Find out more about the Digital world of Siemens here: www.siemens.com/careers/digitalminds