Data Analytics
abb
Job Description
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.