Data Analytics (NM+)
abb | 3 days ago | Bangalore

You will be mainly accountable for:

  • Develop and deploy AI/ML solutions across forecasting, clustering, classification, NLP, and LLM-powered agents to address diverse business challenges.
  • Actively support the AI/ML Lead in driving innovation, exploring emerging technologies, and integrating new AI/ML trends into Robotics solutions.
  • Partner with Commercial, Marketing, and Finance teams to translate business needs into data-driven solutions and measurable impact.
  • Build, optimize, and maintain machine learning pipelines, ensuring scalability, robustness, and operational efficiency.
  • Design and implement advanced analytics models for forecasting, customer insights, market segmentation, and financial optimization.
  • Leverage LLMs and intelligent agents to enhance automation, knowledge management, and decision-support tools.
  • Ensure model interpretability and transparency, enabling clear communication of insights and recommendations to stakeholders.
  • Collaborate with cross-functional teams in Robotics and the wider Analytics community to foster innovation and share best practices.


Qualifications for the role

  • Master’s or Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, or related field.
  • Proficiency in Python, SQL, and ML frameworks (XGBoost / LightGBM, K-Means, Scikit-learn, TensorFlow etc.); experience with NLP, LLMs, forecasting, clustering, and classification; strong knowledge of data platforms such as Snowflake; familiarity with cloud services (Azure) and modern data pipelines. Experience with Streamlit for interactive data applications is desirable but not mandatory.
  • 5 years of experience with 3 years experience in applied AI/ML, delivering end-to-end solutions from model design to deployment
  • Previous exposure to business functions such as commercial, marketing, or finance is a plus.
  • Strong problem-solving mindset, natural curiosity to explore emerging AI trends and ability to simplify complexity for non-technical audiences
  • You bring a collaborative spirit, adaptability, creativity in finding innovative solutions, and a proactive, self-driven approach to making an impact.
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