As a Senior Data Scientist within the Workday Practice at Kainos, you’ll be responsible for developing high quality AI and ML solutions that enhance our Workday product offerings and delight our customers. You will work on proprietary Workday products such as the Kainos Smart suite for automated testing, applying cutting-edge techniques to ensure clients maximize value from their Workday systems. It’s a fast paced environment where you’ll make sound, reasoned decisions while learning about new technologies and approaches. You will work closely with talented colleagues to develop and implement AI/ML solutions while mentoring junior team members and contributing to the team’s growth and innovation. 

Essential Experience:  

• 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 (e.g., Scikit-learn, TensorFlow, PyTorch) to design and implement solutions. 

• Experience deploying AI/ML models to production systems in collaboration with engineering teams. 

• Basic experience with cloud technologies (e.g., AWS, Azure, or GCP). 

• Experience creating interactive visualizations and dashboards using tools such as Power BI or Tableau to communicate findings effectively. 

• Strong interpersonal skills, with the ability to lead client projects and explain technical concepts in non-technical terms. 

• Demonstrable experience mentoring junior team members and fostering collaboration within teams. 

Desirable Experience:  

• Advanced degree (MSc or PhD) in a quantitative field like 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 (e.g., Docker, Kubernetes) to support AI/ML model deployment. 

• Proficiency in cleansing, filtering, and integrating data from diverse sources, including relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, DynamoDB). 

• Familiarity with Workday data structures, APIs, and reporting tools. 

• Experience working with generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to solve real-world problems such as text summarization, chatbots, or content generation. 

• Prior involvement in knowledge-sharing activities within teams or through public forums (conferences, blogs, etc.). 

• Exposure to agile software development methodologies and CI/CD pipelines. 

Who you are :

• Determined – you’re flexible and overcome obstacles to get the job done to achieve personal and team goals.  

• Creative – you actively look for better ways to do things using the latest AI technologies to find fresh solutions to complex problems  

• Honest – always constructive when giving or receiving feedback, being transparent and truthful when dealing with others  

• Respectful – you treat others as you would like to be treated being encouraging, accepting and supportive to everyone you deal with   

• Cooperative – you share information, knowledge and experience, understanding the mutual benefits of team working