Senior Lead, Data Science and AI

🔥 0 minutes ago

🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kyndryl

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2021

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

Kyndryl is a leading IT infrastructure services provider, serving thousands of enterprise customers worldwide. The company specializes in designing, building, managing, and modernizing complex, mission-critical information systems. Kyndryl offers a range of services including IT consulting, cloud services, cybersecurity, data and AI solutions, and digital workplace transformation. With a strong focus on innovation, partnerships, and co-creation, Kyndryl helps businesses tackle IT complexity and drive operational excellence. The company operates across various industries such as automotive, healthcare, banking, and more, providing expertise and solutions to address industry-specific challenges. Kyndryl's global network and strategic alliances empower enterprises to adapt to the evolving technology landscape, ensuring their essential systems are reliable and efficient.

📋 Description

• Build innovative internal data science and AI solutions for Kyndryl’s HR organization • Develop and maintain an AI agent • Build a natural language data agent on Data Fabric for HR reporting queries • Design, build, and deploy end-to-end full-stack data science and AI solutions • Architect and deploy scalable solutions using Microsoft Azure cloud services • Integrate enterprise data sources such as Workday and Power Apps • Collaborate with distributed teams across the US, Costa Rica, UK, and India • Adjust working schedules to support daily alignment with US East Coast stakeholders • Develop scalable data pipelines, REST APIs, and backend services • Operationalize machine learning and AI workloads • Apply software engineering and MLOps practices to move models from development into production

🎯 Requirements

• Advanced proficiency in Python and SQL • Experience designing, building, and deploying scalable cloud solutions using Microsoft Azure services • Hands-on experience building REST APIs, backend microservices, and integrations between enterprise cloud applications such as Workday and Microsoft Power Apps • Deep understanding of the full machine learning lifecycle, including data extraction, model training, deployment, monitoring, and MLOps governance • Software engineering best practices, including Git version control, Docker or other containerization, automated testing, and CI/CD pipelines • Willingness and flexibility to work evenings, typically until 18:00–19:00 CET • Prior professional experience in management or technology consulting (preferred) • Background in a high-growth startup or agile team environment (preferred) • Familiarity with enterprise Data Fabric concepts or human resources data architectures (preferred)

🏖️ Benefits

• Massive architectural freedom to experiment • Exposure to cutting-edge agentic AI technologies • Dedicated sponsorship to earn certifications across all four major cloud platforms • High visibility across senior leadership • Flexible, supportive environment • Well-being support through Be Well programs covering financial, mental, physical, and social health • Personalized development goals and continuous feedback • Certifications with Microsoft, Google, and Amazon • Coaching and hands-on learning experiences • Flexible, hybrid-friendly culture

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