Kyndryl
DataScientist
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Scientist at Kyndryl. Skills: Data Science, Machine Learning, Privacy-enhancing technologies. Conduct rigorous research and experimentation to evaluate emerging. Design scalable, implementable workflows tailored for government agency”
What You'll Achieve.
Demonstrate real-world applicability and measurable impact; Drive meaningful change in domains
Industry & Context.
Problem solving; Analytical skills
What They're Looking For.
Must Have
Bachelor's degree or higher in Computer Science, Data Science, Business Analytics or a related field, 2-3 years of relevant professional experience, foundation in machine learning, hands-on experience in model development and experimentation, programming proficiency in Python, extensive experience with ML frameworks, Ability to analyze model behavior, diagnose training issues, design experiments to optimise performance and reliability, Demonstrated ability to read, synthesise, and critically evaluate academic research papers and technical literature, Experience designing and conducting rigorous experiments to validate hypotheses and measure solution effectiveness
Nice to Have
PhD preferred, specific ML framework experience, cloud platform certs, Familiarity with frontend integration workflows (Next. js/React), Prior experience working in multi-disciplinary teams, Curiosity and willingness to learn new domains (esp. data privacy)
What You'll Do.
Conduct rigorous research and experimentation to evaluate emerging
implementable workflows tailored for government agency
Create comprehensive guidelines and frameworks that enable successful
Design and execute rigorous experiments to evaluate emerging
Develop proof-of-concepts that demonstrate real-world applicability and measurable
Stay current with academic research and translate findings
Contribute to the broader community through publications and
Collaborate directly with government agencies to deeply understand
Design and execute pilot programmes to test PET
Systematically gather user feedback and iterate on solutions
Provide ongoing technical consultation and hands-on support to
Identify opportunities where PETs can address common data
Architect and develop scalable solutions designed for widespread
Establish clear implementation pathways and adoption frameworks for
Work as a collaborative team player
Partner strategically with government agencies to align technical
How You'll Work.
Team & Collaboration
Cross-functional teams; Government agencies; Data scientists; Data engineers; Software engineers; Product managers
Communication Scope
Explain technical concepts; Explain complex technical concepts
Process & Methodology
Agile environment
Full Job Description
**Who We Are** 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. You will dive deep into the heart of our business, understanding its objectives and requirements – viewing them through the lens of business acumen, and converting this knowledge into a data problem. You’ll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses. 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 processe
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