Kyndryl is a global, largely remote company, where you join a group of 40 People and Workforce Analytics professionals made up of business translators, data scientists, analysts and developers. We are fast, flat, and focused: you will engage with senior leadership, a diverse group of HR professionals, fellow data scientists and analysts as well as business leaders to ensure our insights are both scientifically rigorous and aligned with our business goals. Your work will directly influence our enterprise strategy and operations and impact tens of thousands of employees.

As a Lead Data Scientist you will be hands on Data Scientist designing and implementing advanced analytics models that predict future workforce skills gaps and provide actionable insights to optimize hiring, upskilling, and workforce engagement. You will spearhead the creation of an end-to-end labor optimization model. This model solves for the technical and other skills needed to provide value to our clients, the growth, development and satisfaction of our workforce as well as contractual, legal, geographic and cost constraints. You will create a state-of-the-art predictive model that will best leverage diverse datasets to optimize how we staff, hire, and train our 80,000 Kyndryls.

Specifically, you'll be responsible for:

• Model Development: Build predictive models and machine learning algorithms to forecast workforce needs and identify skills gaps.
• Data Exploration: Conduct data analysis and identify trends, patterns, and insights from structured and unstructured data to guide strategic decision-making.
• Collaboration with Data Engineering: Partner with the Data Engineer to ensure data is collected, processed, and made available for modeling in an efficient and scalable way.
• Optimization Algorithms: Develop optimization models that recommend actions such as upskilling, hiring, or engaging talent based on forecasted gaps in workforce capabilities.
• Performance Monitoring: Continuously monitor model performance and work with the team to refine models for better accuracy and efficiency.
• Data Visualization: Communicate key insights through dashboards, reports, and presentations using data visualization tools such as Tableau, Power BI, or similar.
• Collaboration with Stakeholders: Work with HR, business leaders, and other stakeholders to understand workforce needs and align data models with business objectives.

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

To be successful in this role you will have the following skills and expertise:

• Bachelor's degree in economics, Data Science, Mathematics, Statistics or related field
• 3-4 years of experience in data science, with a focus on predictive modeling, machine learning, and data-driven decision-making.
• Experience with big data platforms and cloud services (e.g., AWS, Azure, GCP).
• Strong understanding of statistical modeling, regression, classification, and clustering techniques.
• Knowledge of SQL and experience with databases (both relational and NoSQL).
• Experience with data visualization tools like Tableau, Power BI, or similar.
• Excellent communication skills to translate complex data insights into business recommendations.
• Adaptability and eagerness to learn new tools and technologies.

Preferred Skills and experience

• Master's in economics, Data Science, Mathematics, Statistics or related field
• Familiarity with workforce analytics, HR-related data and graph databases, query languages (e.g., Neo4j, GraphQL) is a plus

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.