Overview
Senior Data Scientist in Kainos’ Workday Products division develops high-quality AI/ML solutions for a growing Workday product suite. You influence design and delivery, potentially mentor junior colleagues, and contribute to production-ready analytics in a collaborative, people-first culture. The role combines research with practical deployment, aiming to improve functionality, scalability, and efficiency. This is a hands-on opportunity to shape enterprise AI within a renowned Workday-focused environment.
Responsibilities
- Develop and deliver advanced AI/ML solutions for the Workday product suite (e.g., Smart, Employee Document Management, Pay Transparency Analyzer)
- Design scalable models and production-ready implementations in collaboration with engineering
- Deploy models to production and support MLops-related tasks
- Lead or support line management and appraisals for junior team members
- Communicate findings through interactive visualizations and dashboards to non-technical stakeholders
Key requirements
- 4-5 years of relevant industry experience (or less with a relevant PhD)
- Strong foundation in mathematics, statistics, and ML principles
- Proficient in Python with clean, maintainable production code
- Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch)
- Experience deploying AI/ML models in production with engineering collaboration
- Experience with generative AI use cases (LLMs like OpenAI GPT, HuggingFace Transformers) for tasks such as text summarisation, chatbots, content generation
- Basic cloud knowledge (AWS, Azure, or GCP)
- Ability to create interactive visualizations/dashboards (Dash, Streamlit) to communicate findings
- Strong interpersonal skills and ability to lead client projects and explain concepts to non-technical audiences
- leadership and mentorship
- clear communication
- client-facing collaboration
- Python
- Scikit-learn
- TensorFlow
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