Senior Data Scientist

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Where Is The Work Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

Job Summary We are seeking a Data Scientist / Senior Data Scientist with 5–7 years of experience in data science, machine learning, advanced analytics, and AI solution development, with a strong emphasis on Generative AI (GenAI) and AI application development. This role will focus on designing, developing, and deploying intelligent applications that combine traditional machine learning, modern GenAI capabilities, and scalable data engineering to solve real business problems. The ideal candidate will bring strong expertise in Python, SQL, AI/ML deployment, and cloud-based solution development, along with hands-on experience in building LLM-powered applications, prompt-driven workflows, and GenAI-enabled products. This person should also have a strong interest in understanding industrial equipment, operating principles, and failure patterns to build impactful domain-specific AI solutions. The role requires close collaboration with cross-functional teams to deliver production-ready AI applications, accelerate innovation, and drive business value through practical adoption of GenAI.

Job location : Bangalore

Working : Hybrid - From Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires.

Responsibilities

• Analyze large, complex datasets to uncover trends, patterns, anomalies, and actionable business insights.
• Design, develop, and deploy AI and GenAI applications that address business needs using machine learning, large language models, and intelligent workflow orchestration.
• Build and optimize predictive, statistical, and time series models for business and operational use cases.
• Develop robust data pipelines, ETL workflows, and feature engineering processes using SQL and Python to support AI/ML applications.
• Lead Python-based application development for automation, data transformation, model integration, API development, and AI-powered workflows.
• Develop LLM-powered solutions such as copilots, knowledge assistants, summarization tools, search-and-retrieval solutions, and domain-specific recommendation systems.
• Apply Generative AI techniques including prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, grounding strategies, response evaluation, and workflow integration.
• Prototype and productionize AI application architectures, including integrations with vector databases, model APIs, cloud services, and enterprise systems.
• Contribute to the evaluation, monitoring, and continuous improvement of AI systems, including model quality, hallucination reduction, latency, cost, and user experience.
• Collaborate with product managers, engineers, analysts, domain experts, and business stakeholders to define, prioritize, and deliver AI-driven solutions.
• Translate business problems into scalable AI/ML and GenAI use cases, technical designs, and implementation roadmaps.
• Develop and enhance dashboards, reports, and BI solutions using Tableau where needed to support model insights and business decisions.
• Ensure strong data quality, governance, security, compliance, and responsible AI practices across solution development and deployment.

Technical Skills/ Qualifications

• Bachelor’s degree in Computer Science, Data Science, Engineering, AI, or a related field; master’s degree or advanced certification preferred.
• 5–7 years of experience in data science, advanced analytics, AI engineering, or related roles.
• Strong proficiency in Python for data science, API integration, automation, and AI application development.
• Advanced proficiency in SQL, including complex querying, performance tuning, data transformation, and data modeling.
• Strong knowledge of statistics, machine learning algorithms, applied mathematics, and time series analysis.
• Hands-on experience with Generative AI and large language model applications, including prompt engineering, RAG patterns, model evaluation, and practical enterprise use case implementation.
• Experience building AI applications using frameworks and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and exposure to modern GenAI frameworks such as LangChain, LlamaIndex, or similar tools.
• Experience integrating with foundation model APIs and deploying AI solutions in production environments.
• Familiarity with vector databases, embeddings, semantic search, document retrieval, and knowledge-grounded AI applications.
• Understanding of MLOps / LLMOps, CI/CD pipelines, model versioning, testing, and release management.
• Exposure to cloud platforms such as AWS, Azure, or GCP, including AI/ML services and scalable deployment patterns.
• Experience with Git and version control best practices.
• Experience with Dataiku is an advantage.
• Expertise in Tableau or similar BI tools for reporting and stakeholder communication is desirable.
• Desirable domain awareness of industrial systems such as compressors, motors, power systems, refrigeration systems, and IC engines.
• Strong understanding of responsible AI, data governance, security, and compliance considerations in AI solution development.

Soft Skills

• Strong analytical and problem-solving skills with a structured, methodical approach.
• Excellent verbal and written communication skills with the ability to explain complex topics clearly.
• Ability to work effectively with both technical and non-technical stakeholders.
• Strong collaborative and team-oriented mindset with a proactive, customer-focused, and results-driven approach.
• Ability to work independently with minimal supervision and manage multiple priorities.
• High ownership, attention to detail, and commitment to timely, accurate delivery.
• Adaptability to changing priorities, technologies, and business needs We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.