Data Scientist

Who We Are

At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities.

The Role

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 10 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of GenAI solutions, leveraging your technical expertise. The ideal candidate should have familiarity with business processes in 1-2 domain(.e.g Financial, Telecom, Retail) to quickly understand the requirements and come up with solutions to address the issues in these domains. Candidate is expected to have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.
 
Responsibilities
 

• Lead the development and implementation of Generative AI and LLM projects, ensuring alignment with business objectives.
• Design and deploy Proof of Concepts (POCs) and Points of View (POVs) across various industry verticals, demonstrating the potential of Generative AI applications.

• Developing the approach or high level solution to address industry specific business problems. In doing so take up deep study of the business problem, the data required to address the problem and derive the end to end approach and ML model to solve the problem.

• Conceptualizing, Developing and implementing an overall organizational data strategy that is in line with business processes. The strategy includes model designs, database development standards, implementation and management of AI/ML Models interfacing with warehouses and data analytics systems.
• Coordinating and collaborating with cross-functional teams, stakeholders, and vendors for the smooth functioning of the enterprise models. 
• Managing end-to-end data Architecture, from selecting the platform, designing the technical Architecture, and developing the application to finally testing and implementing the proposed solution.
• Defining and managing the flow of data required for model development and dissemination of information within the organization. 
• Install and configure information systems to ensure functionality
• Analyse structural requirements for new software and 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.).

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.

Who You Are

MUST HAVE SKILLS

• Graduate / Postgraduate in computer science or computer engineering or equivalent with 8-12 years of experience in the IT Industry.
• Minimum 5-6 years of hands on experience Data Scientist Role or Similar role. 
• Understanding of Transformers, LLMs, Fine Tuning, Agents and RAG techniques.
• Strong Domain experience in at least two industries (.e.g. Financial, Retail, manufacturing, Telecom)
• Strong understanding of predictive modeling, NLP and text analysis, Machine Learning.
• Should have good exposure of Machine learning Algorithms and AI.
• Should have done 2-3 projects in domain of expertise, 
• Should have strong good knowledge of Python, C/C++.
• Experienced in manipulating and analysing complex, high-volume, high dimensionality data from various sources to highlight patterns and relationships.
• Be able to communicate complex quantitative analysis and algorithms in a clear, precise, and actionable manner.
• Should have worked on Dashboard development in the past.
• Knowledge of systems development, including system development life cycle, project management approaches and requirements, design, and testing techniques
• Proficiency in data modeling and design, including SQL development and database administration
• Ability to implement common data management and reporting technologies, as well as the basics of columnar and NoSQL databases, data visualization, unstructured data, and predictive analytics.
• Data mining, visualization, and Machine Learning skills

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.

Get Referred!

If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.