Senior Data Consultant, Data Science

Role & responsibilities

Mandatory Skills:

Machine Learning, Natural Language Processing, Artificial Intelligence, Python, Gen AI

As a Senior Data Consultant, you will lead advanced analytics and AI initiatives, including Generative AI solutions, across diverse industries. Youll work with cross-functional teams to solve complex business problems using data science, machine learning, and GenAI technologies. This role demands technical depth, strategic thinking, and strong communication skills.

• Proficiency in Python and SQL for data manipulation and modelling
• Strong understanding of machine learning techniques, including regression, classification, clustering, and model evaluation
• Experience with data wrangling and transformation using libraries like Pandas and NumPy
• Ability to build and interpret data visualizations using tools such as Power BI or Tableau
• Hands-on experience with cloud platforms like AWS, Azure, or GCP for model deployment and data workflows
• Solid foundation in statistical analysis and hypothesis testing
• Excellent communication skills for client interaction, documentation, and presentation
• Working knowledge of Generative AI, including:
• Prompt engineering for LLMs
• Fine-tuning and deploying models using APIs (e.g., OpenAI, Azure OpenAI, Hugging Face)
• Understanding of ethical AI and responsible GenAI practices

 Nice-to-Have Skills

• Familiarity with big data tools such as Apache Spark, Hadoop, or Databricks
• Experience with MLOps practices, including CI/CD pipelines and model monitoring
• Domain expertise in industries like BFSI, healthcare, retail, or telecom
• Exposure to advanced AI techniques such as:
• Natural Language Processing (spaCy, NLTK)
• Computer Vision (OpenCV, YOLO)
• Hands-on experience with GenAI frameworks and tools:
• LangChain for building LLM-powered applications
• Retrieval-Augmented Generation (RAG) architectures
• Vector databases like FAISS or Pinecone
• Multimodal models combining text, image, or audio inputs
• Relevant certifications in data science, cloud platforms, or GenAI (e.g., AWS Certified Machine Learning, Azure Data Scientist Associate)