Data Scientist

• Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives.

• Prepare and present solutions to clients to seek their approval.

• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.

• Engage effectively with customers, showcasing and demonstrating the relevance and impact of Generative AI applications in their businesses.

• Collaborate with cross-functional teams to integrate AI/ML solutions into cloud environments (Azure, GCP, AWS, etc.).

In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention – models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally.

Additionally, you're not just building and validating models – you’re deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.

Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset – ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.

If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at Kyndryl Every position at Kyndryl offers a way forward to grow your career. We have opportunities that you won’t find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

You’re good at what you do and possess the required experience to prove it. However, equally as important – you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused – someone who prioritizes customer success in their work. And finally, you’re open and borderless – naturally inclusive in how you work with others.

Required Technical and Professional Experience:

• Minimum of 10 years of experience in Data Science and Machine Learning, with expertise in NLP, Generative AI, LLMs, MLOps, optimization techniques, and AI solution architecture.

• PhD in Computer Science, Data Science, or a related field (or equivalent research experience

• Experience with leading client presentations on proposed solution.

• Familiarity with business processes in 1-2 domains (e.g., Financial, Telecom, Retail) to quickly understand requirements and develop solutions.

• Graduate/Postgraduate in computer science, computer engineering, or equivalent with 10-12 years of experience in the IT industry.

• Past experience in responding to or solutioning for RFPs, customer proposals, and customer presentations/orals.

• Minimum 5-6 years of hands-on experience in a Data Scientist role or similar role.

• Strong understanding of Transformers, LLMs, Fine Tuning, Agents, and RAG techniques.

• Experience using LLM models on cloud platforms (OpenAI @ Azure, AWS Bedrock, GCP Vertex AI).

• Experience in AI/ML, with a focus on Generative AI and Large Language Models. Proven track record in working with major cloud platforms (Azure, GCP, AWS).

• Understanding of how to deploy LLMs on cloud/on-premise and use APIs to build industry solutions.

• Strong domain experience in at least two industries (e.g., Financial, Retail, Manufacturing, Telecom).

• Completed 2-3 projects in the domain of expertise.

• Strong knowledge of Python, C/C++.

• Data mining, visualization, and machine learning skills.

• Fluent in English (written and spoken).

• Degree in a quantitative discipline, such as mathematics, statistics, computer science, or other engineering fields.

• Certification in one or more of the hyperscalers (Azure, AWS, Google Cloud Platform)