Senior Data Consultant I - Data Science

As a Senior Data Consultant I, you will lead advanced analytics and AI initiatives, including Generative AI solutions, across diverse industries. You'll 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. Key Responsibilities: - Proficiency in Python and SQL for data manipulation and modeling - 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 Qualifications Required: - Working knowledge of Generative AI including prompt engineering for LLMs, fine-tuning and deploying models using APIs (e.g., OpenAI, Azure OpenAI, Hugging Face), and 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) and Computer Vision (OpenCV, YOLO) - Hands-on experience with GenAI frameworks and tools including LangChain for building LLM-powered applications, Retrieval-Augmented Generation (RAG) architectures, Vector databases like FAISS or Pinecone, and 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) As a Senior Data Consultant I, you will lead advanced analytics and AI initiatives, including Generative AI solutions, across diverse industries. You'll 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. Key Responsibilities: - Proficiency in Python and SQL for data manipulation and modeling - 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 Qualifications Required: - Working knowledge of Generative AI including prompt engineering for LLMs, fine-tuning and deploying models using APIs (e.g., OpenAI, Azure OpenAI, Hugging Face), and 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) and Computer Vision (OpenCV, YOLO) - Hands-on experience with GenAI frameworks and tools including LangChain for building LLM-powered applications, Retrieval-Augmented Generation (RAG) architectures, Vector databases like FAISS or Pinecone, and 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)