Role Overview:

We are now recruiting talented individuals to fill our current vacancy for Principal Data Scientist to work on our projects. We are specifically seeking candidates with 10+ years of experience in Python Development and Data Science and demonstrable experience with Large Language Models (LLMs), generative AI, and AI strategy.

Qualification Experience:

Minimum of 10 years of experience as a Python Developer/ Data Scientist.
Technical Responsibilities
- Excellent proficiency in Python, with a strong focus on developing advanced skills.
- Extensive exposure to NLP, LLMs and image processing concepts.
- Practical experience with Large Language Models (fine-tuning, prompt engineering, retrieval-augmented generation), transformer architectures, and generative AI toolchains.
- Expertise in building, evaluating and deploying generative AI solutions (e.g., conversational agents, summarization, content generation, code synthesis) while applying guardrails for safety, hallucination mitigation, and ethical use.
- Proficient in version control systems like Git.
- In-depth understanding of Azure deployments, including MLOps for LLMs and model serving at scale.
- Expertise in OCR, ML model training, and transfer learning.
- Experience working with unstructured data formats such as PDFs, DOCX, and images.
- Strong familiarity with data science best practices and the ML lifecycle.
Tool Exposure: Advanced understanding and hands-on experience with Power BI, KNIME, Git, Azure and Python programming; familiarity with LLM platforms/APIs (e.g., OpenAI, Anthropic, Azure OpenAI, Hugging Face) and vector databases (e.g., Pinecone, FAISS, Milvus) is highly desirable.
Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies.
Visualization: Expertise in visualizing data and modeling results using standard libraries.
Data Analysis : Executing complex analyses against business requirements using appropriate tools and technologies.
Software Development : Leading the development of reusable, version-controlled code under minimal supervision.

Principal Duties Key Responsibilities:

Leading Data Science team and grow AI integration capabilities
Leading data extraction from multiple sources, including 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 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: 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.

Required Competencies:

Ability to lead team, demonstrate initiative, and provide strategic guidance.
Exceptional communication and interpersonal skills.
Proficiency in Microsoft Office 365 applications.
Strong networking, communication, and people skills.
Excellent technical writing skills.
Effective problem-solving abilities.
Flexibility and adaptability to work flexible hours as required.

Key competencies / Values:

Client Focus : Tailoring skills and understanding client needs to deliver exceptional results.
Excellence : Striving for excellence defined by clients, delivering high-quality work.
Trust : Building and retaining trust with clients, colleagues, and partners.
Teamwork : Collaborating effectively to achieve collective success.
Responsibility : Taking ownership of performance and safety, ensuring accountability.
People : Creating an inclusive environment that fosters individual growth and development.

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

Principal Consultant - Data Science

Job Description

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