Data Scientist - Workday Products
Role details
Job location
Tech stack
Job description
As an Associate Data Scientist within Kainos' Workday Products division, you will support the delivery of AI and ML solutions across our fast-growing suite of Workday products, including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer, working closely with senior colleagues to learn and apply data science techniques on live client projects. This is a great opportunity to build your technical skills in a fast-paced environment, while contributing meaningfully to the team's delivery and growth.
Requirements
-
Typically 2+ years of relevant industry experience.
-
Foundational knowledge of mathematics, statistics, and machine learning principles, with an ability to apply these to derive insights from data under guidance.
-
Working knowledge of Python programming, with an interest in writing clean, efficient code for AI/ML solutions.
-
Hands-on experience, through study, internships, or personal projects, with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
-
Exposure to supporting the deployment of AI/ML models, working alongside engineering colleagues.
-
Some exposure to generative AI concepts and tools (e.g., OpenAI GPT, Hugging Face Transformers), gained through coursework, internships, or personal projects.
-
Basic awareness of cloud technologies (AWS, Azure, or GCP).
-
Some experience creating visualisations or dashboards (e.g., Dash, Streamlit), through coursework or previous roles.
-
Good interpersonal skills, with an interest in explaining technical concepts to non-technical audiences.
-
Enthusiasm for learning from and collaborating with senior team members.
Desirable Experience:
-
BSc in a quantitative field such as Computer Science, Machine Learning, Operational Research, or Statistics.
-
Academic, internship, or personal projects delivering data science outputs.
-
Basic familiarity with CI/CD pipelines or MLOps concepts.
-
Exposure to containerisation technologies (e.g., Docker).
-
Some experience working with relational or NoSQL databases (e.g., PostgreSQL, MongoDB).
-
Familiarity with Workday data structures, APIs, or reporting tools is an advantage.
-
Willingness to participate in team knowledge-sharing activities.