Senior Lead, Data Science

Data Scientist

At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The Role

As a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.

As a Full-Stack Senior Lead Data Scientist, you will bring a diverse skill set across data collection, analysis, model development, and deployment. You will collaborate closely with the data engineer and data scientist to develop predictive models, implement machine learning algorithms, and deploy end-to-end solutions that optimize our workforce strategies.

This role demands proficiency across the full data science lifecycle, from data wrangling to delivering insights via advanced visualizations.

Specifically, you'll be responsible for:

• End-to-End Data Science Solutions: Build, deploy, and maintain full-stack data science solutions, from data extraction to machine learning model deployment and monitoring.
• Collaboration with Data Engineering and Science: Partner with the data engineer and data scientist to ensure clean, structured data is available for analysis and predictive modeling. Participate in designing scalable data pipelines and architectures to support analytical and machine learning workflows.
• Machine Learning Model Development: Design and implement advanced machine learning models, including regression, classification, and clustering techniques, to predict workforce needs and identify skills gaps.
• API Development and Integration: Develop APIs to integrate machine learning models into enterprise applications and workflows, enabling real-time decision-making.
• Data Management: Ensure data integrity, consistency, and accuracy across multiple platforms, working closely with data governance teams to align processes.
• Advanced Data Visualization: Use data visualization tools (e.g., Tableau, Power BI) to translate complex analytical insights into actionable business recommendations for HR, business leaders, and other stakeholders.
• Optimization Models: Implement optimization algorithms to recommend actions such as hiring, training, or workforce engagement based on model outputs and business constraints.
• Performance Monitoring and Improvement: Continuously track model performance and refine processes for model efficiency and scalability.

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

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 Skills and Experience

• Master's in Data Science, Computer Science, Statistics, or a related field.
• 5-8 years of experience as a data scientist with a focus on full-stack data science, including model building, deployment, and API development.
• Proficiency in Python, R, or similar languages for statistical modeling and machine learning.
• Experience with big data platforms (e.g., Hadoop, Spark) and cloud services (AWS, Azure, GCP).
• Strong SQL skills and familiarity with both relational and NoSQL databases.
• Expertise in building and deploying machine learning models (e.g., TensorFlow, PyTorch).
• Experience with data visualization tools such as Power BI, Tableau, or similar.
• Familiarity with RESTful APIs and integrating machine learning models into business applications.
• Strong understanding of optimization algorithms, data architecture, and performance monitoring.
• Excellent communication skills to translate technical findings into actionable business insights.
• Proficient in English language - verbal and written

Preferred Skills and Experience

• Familiarity with workforce analytics, HR data, and related systems.
• Knowledge of graph databases (e.g., Neo4j, GraphQL) is a plus.

Being You

The "Kyn" in Kyndryl means kinship, which represents the strong bonds we have with each other, our customers and our communities. We focus on ensuring all Kyndryls feel included and we welcome people of all cultures, backgrounds, and experiences. Even if you don't meet every requirement, we encourage you to apply. We believe in growth, and we're excited to see what you can bring. At Kyndryl, employee feedback has told us that our number one driver of employee engagement is belonging. That sense of belonging — being a valued, respected, trusted member of the team — is fundamental to our culture and fueling great experiences for our customers. This dedication to welcoming everyone into our company means that Kyndryl gives you the ability to thrive and contribute to our culture of empathy and shared success. That's The Kyndryl Way.

What You Can Expect

Your career with us isn't just a job—it's an adventure with purpose. We offer a dynamic, hybrid-friendly culture that supports your well-being and empowers you to grow. Our Be Well programs are thoughtfully designed to support your financial, mental, physical, and social health—because we know that when you feel your best, you do your best. From your very first day, you'll dive into impactful work that powers the systems our customers rely on every day. You won't just contribute—you'll make a difference, tackling meaningful projects that sharpen your skills and fuel your growth. We're here to champion your journey. With powerful tools to chart your career path, personalized development goals aligned with your ambitions, and continuous feedback to keep you inspired and on track, you'll have everything you need to thrive and evolve. You'll develop in-demand skills to grow your career and achieve your ambitions with access to cutting-edge learning opportunities—from certifications with Microsoft, Google, and Amazon to coaching and hands-on experiences. And through it all, you'll be part of a culture that values empathy, restless learning, and a devotion to shared success. We want you to thrive here—and we're committed to helping you do just that. Ready to make an impact? Join us and help shape what's next.