Senior Data Scientist - Workday Products

Salary: £28,000 - 51,000 per year

Requirements:

• Typically 4-5 years of relevant industry experience, or less when combined with a relevant PhD.
• Proficient in applying mathematics, statistics, and machine learning principles to derive actionable insights from complex datasets.
• Proficient in Python programming, with a focus on writing clean, efficient, and maintainable code for developing and deploying reliable AI/ML solutions in production environments.
• Hands-on experience using machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch to design and implement solutions.
• Experience deploying AI/ML models to production systems in collaboration with engineering teams.
• Experience working with generative AI use cases, leveraging large language models such as OpenAI GPT and Hugging Face Transformers to solve real-world problems such as text summarisation, chatbots, or content generation.
• Basic experience with cloud technologies such as AWS, Azure, or GCP.
• Experience creating interactive visualizations and dashboards using tools such as Dash or Streamlit to communicate findings effectively.
• Strong interpersonal skills, with the ability to lead client projects and explain technical concepts in non-technical terms.
• Advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Machine Learning, Operational Research, or Statistics.
• Proven track record of delivering data science projects, especially in enterprise software or SaaS environments.
• Basic familiarity with CI/CD pipelines and MLOps practices, including automated testing, model versioning, and monitoring workflows.
• Hands-on experience with containerisation and orchestration technologies such as Docker and Kubernetes to support AI/ML model deployment.
• Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational databases such as PostgreSQL and MySQL, and NoSQL databases such as MongoDB and DynamoDB.
• Familiarity with Workday data structures, APIs, and reporting tools.
• Demonstrable experience mentoring junior team members, with some involvement in formal performance appraisal processes, and fostering collaboration within teams.
• Prior involvement in knowledge-sharing activities within teams or through public forums such as conferences or blogs.

Responsibilities:

• Develop high quality AI and ML solutions for our fast growing suite of Workday products, including Kainos Smart, Employee Document Management, and Pay Transparency Analyzer.
• Work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability, and efficiency of our Workday product suite.
• Carry some formal line management responsibilities, including appraisals, for more junior members of the team.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Support
• Kubernetes
• LESS
• Machine Learning
• MLOps
• MongoDB
• MySQL
• NoSQL
• PostgreSQL
• PyTorch
• Python
• TensorFlow

More:

At Kainos, we are problem solvers, innovators, and collaborators driven by a shared mission to create real impact. We transform digital services for millions, deliver cutting-edge Workday solutions, and push the boundaries of technology together. We believe in a people-first culture where your ideas are valued, your growth is supported, and your contributions truly make a difference. You will be part of a diverse, ambitious team that celebrates creativity and collaboration. We are committed to diversity, equity and inclusion and building a team where everyone is valued, respected, and given an equal chance to thrive. Our friendly talent acquisition team is available to support candidates who may need accommodations or adjustments during the recruitment process. This is a full-time Senior Data Scientist role within our Workday Products division, in our Data & Artificial Intelligence profession.

last updated 36 week of 2026