Senior Data Scientist, AI/ML for Workday Solutions

Kainos

Województwo pomorskie

On-site

PLN 180,000 - 260,000

Full time

42 hours ago
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Job summary

Kainos is seeking a Senior Data Scientist for its Workday Products division. You will develop high quality AI/ML solutions for the Workday product suite, including Smart tools and analytics. You may mentor juniors and collaborate with engineering to deploy models in production.

The role emphasizes applying statistics, ML, and generative AI to real-world problems, with dashboards for communicating insights and strong cross‑functional collaboration.

Qualifications

  • Typically 4–5 years of relevant industry experience, or a relevant PhD.
  • Proficient in applying mathematics, statistics, and ML to real data.
  • Strong Python coding skills for AI/ML production solutions.
  • Hands-on with ML frameworks to design and implement production models.
  • Experience deploying AI/ML models with engineering teams.
  • Familiarity with generative AI use cases and large language models.
  • Basic cloud experience with AWS/Azure/GCP.

Responsibilities

  • Develop high-quality AI/ML solutions for Workday products.
  • Design and deliver AI/ML models to improve functionality and efficiency.
  • Lead projects and potentially perform line management for juniors.
  • Collaborate with engineering to deploy models in production.
  • Create interactive dashboards to communicate findings.

Skills

Python
ML frameworks
Production deployment
Generative AI
Cloud computing
Data visualization
Interpersonal skills

Education

MSc/PhD in quantitative field

Tools

Docker
Kubernetes
PostgreSQL/MySQL
MongoDB/DynamoDB
Dash/Streamlit

Job description

Kainos is seeking a Senior Data Scientist for its Workday Products division. You will develop high quality AI/ML solutions for the Workday product suite, including Smart tools and analytics. You may mentor juniors and collaborate with engineering to deploy models in production.

The role emphasizes applying statistics, ML, and generative AI to real-world problems, with dashboards for communicating insights and strong cross‑functional collaboration.

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