Principal Consultant - Data Science

As a Principal Data Scientist at our company, you will be responsible for leading our Data Science team and growing our AI integration capabilities. Your key responsibilities will include: - Leading data extraction from multiple sources, such as PDFs, images, and databases. - Driving optical character recognition processes for digitizing data from images. - Applying advanced natural language processing techniques to understand complex data. - Designing, prototyping, and deploying Large Language Models (LLM) and generative AI solutions that deliver measurable business value, including conversational AI, summarization, semantic search, and RAG systems. - Implementing safe and responsible generative AI practices, such as prompt engineering standards, hallucination detection, bias mitigation, access control, and monitoring. - Collaborating closely with business domain experts to identify and drive key business value drivers. - Contributing to AI strategy by translating business goals into pragmatic AI roadmaps, helping prioritize use cases, estimating effort and ROI, and advising stakeholders on technology choices and adoption. - Documenting model design choices, algorithm selection processes, and dependencies. - Effectively collaborating in cross-functional teams within the CoE and across the organization. - Proactively seeking opportunities to contribute beyond assigned tasks. Your qualifications and experience should include: - Minimum of 10 years of experience as a Python Developer/Data Scientist. - Excellent proficiency in Python, with a robust focus on developing advanced skills. - Extensive exposure to Natural Language Processing (NLP), Large Language Models (LLMs), and image processing concepts. - Practical experience with transformer architectures, generative AI toolchains, and building, evaluating, and deploying generative AI solutions. - Proficiency in version control systems like Git and in-depth understanding of Azure deployments. - Expertise in OCR, ML model training, transfer learning, and working with unstructured data formats. - Strong familiarity with data science best practices and the ML lifecycle. - Advanced understanding and hands-on experience with Power BI, KNIME, Git, Azure, and Python programming. - Excellent technical writing skills and effective problem-solving abilities. The company values include Client Focus, Excellence, Trust, Teamwork, Responsibility, and People. We strive for excellence defined by clients, delivering high-quality work while building and retaining trust with clients, colleagues, and partners. Please note that the job posting details are subject to change, and applicants are advised to confirm the latest information directly on the company website before applying. As a Principal Data Scientist at our company, you will be responsible for leading our Data Science team and growing our AI integration capabilities. Your key responsibilities will include: - Leading data extraction from multiple sources, such as PDFs, images, and databases. - Driving optical character recognition processes for digitizing data from images. - Applying advanced natural language processing techniques to understand complex data. - Designing, prototyping, and deploying Large Language Models (LLM) and generative AI solutions that deliver measurable business value, including conversational AI, summarization, semantic search, and RAG systems. - Implementing safe and responsible generative AI practices, such as prompt engineering standards, hallucination detection, bias mitigation, access control, and monitoring. - Collaborating closely with business domain experts to identify and drive key business value drivers. - Contributing to AI strategy by translating business goals into pragmatic AI roadmaps, helping prioritize use cases, estimating effort and ROI, and advising stakeholders on technology choices and adoption. - Documenting model design choices, algorithm selection processes, and dependencies. - Effectively collaborating in cross-functional teams within the CoE and across the organization. - Proactively seeking opportunities to contribute beyond assigned tasks. Your qualifications and experience should include: - Minimum of 10 years of experience as a Python Developer/Data Scientist. - Excellent proficiency in Python, with a robust focus on developing advanced skills. - Extensive exposure to Natural Language Processing (NLP), Large Language Models (LLMs), and image processing concepts. - Practical experience with transformer architectures, generative AI toolchains, and building, evaluating, and deploying generative AI solutions. - Proficiency in version control systems like Git and in-depth understanding of Azure deployments. - Expertise in OCR, ML model training, transfer learning, and working with unstructured data formats. - Strong familiarity with data science best practices and the ML lifecycle. - Advanced understanding and hands-on experience with Power BI, KNIME, Git, Azure, a