Lead Data Scientist in London

As a Lead Data Scientist within the Workday Practice at Kainos, you will play a pivotal role in shaping the AI and analytics strategy for our Workday product offerings. You will lead the design and delivery of advanced AI/ML solutions that improve the functionality, scalability, and efficiency of Workday systems. You will focus on cutting edge innovations, such as predictive analytics for workforce planning, anomaly detection in financial processes, and intelligent automation for Workday applications. You will collaborate closely with customers, mentor your team, and provide thought leadership across the organization.

Essential Experience:

• Significant experience applying advanced statistical techniques, machine learning, and AI principles to solve complex business problems.
• Strong programming skills in Python, with an emphasis on writing clean, efficient, and maintainable code to enable scalable and production-grade AI/ML solutions.
• Extensive experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch), with the ability to design, implement, and optimise scalable solutions while guiding teams in the effective use of these tools.
• Proven experience with containerisation and orchestration technologies (e.g., Docker, Kubernetes), including their use in designing scalable, cloud-native AI/ML systems.
• Proficiency in data engineering, including data wrangling, cleansing, and creating pipelines that integrate seamlessly into production environments.
• Extensive experience in cloud environments (AWS, Azure, or GCP), including leveraging cloud-native AI tools like SageMaker, Vertex AI, or Azure ML Studio.
• Proven ability to lead and mentor data science teams, fostering collaboration and professional growth.
• Strong interpersonal and communication skills, with a track record of managing client engagements and translating business requirements into actionable technical solutions.

Desirable Experience:

• Advanced proficiency in relational databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, DynamoDB).
• Familiarity with Workday APIs, Workday Prism Analytics, and automated testing frameworks.
• Extensive experience designing and implementing generative AI use cases, leveraging large language models (e.g., OpenAI GPT, Hugging Face Transformers) to deliver scalable solutions for tasks such as conversational AI, document summarisation, or content creation.
• Knowledge of data engineering and analytics platforms such as Databricks, with experience in leveraging them for scalable data processing and machine learning workflows.
• Active participation in knowledge sharing activities, such as conferences, blogs, or internal workshops, to promote thought leadership.

Who you are:

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

At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people's lives easier. We build strong relationships with our customers and go beyond to change the way they work today and the impact they have tomorrow. Our two specialist practices, Digital Services and Workday, work globally for clients across healthcare, commercial and the public sector to make the world a little bit better, day by day. Our people love the exciting work, the cutting-edge technologies and the benefits we offer. That’s why we’ve been ranked in the Sunday Times Top 100 Best Companies on numerous occasions.