Senior Data Scientist

Kainos; City Of London; On-site; GBP 50,000 - 80,000; Full time

Job summary

A leading technology company in London seeks a Senior Data Scientist for its Workday Practice. You will develop AI and ML solutions, mentor junior members, and work on cutting-edge technologies in a collaborative environment. The ideal candidate will have strong mathematical skills, proficiency in Python, and experience with machine learning frameworks. Join us and shape the future of digital services.

Benefits

People-first culture

Diversity and inclusion initiatives

Qualifications

• Proficient in applying mathematics and statistics to derive insights from datasets.
• Proficient in Python programming for developing AI/ML solutions.
• Hands-on experience with machine learning frameworks like Scikit-learn and TensorFlow.

Responsibilities

• Develop high quality AI and ML solutions that enhance Workday products.
• Mentor junior team members and contribute to team growth.
• Collaborate closely with engineering teams to deploy AI/ML models.

Skills

Mathematics

Statistics

Machine Learning

Python Programming

Production Systems

Cloud Technologies

Data Visualization

Interpersonal Skills

Mentoring

Education

MSc or PhD in Computer Science or related field

Tools

Scikit-learn

TensorFlow

PyTorch

AWS

Azure

Power BI

Tableau

Docker

Kubernetes

Job description

Overview

Join Kainos and Shape the Future

At Kainos, we’re problem solvers, innovators, and collaborators - driven by a shared mission to create real impact. Whether we’re transforming digital services for millions, delivering cutting-edge Workday solutions, or pushing the boundaries of technology, we do it together.

People-first culture: we believe in a culture where your ideas are valued, your growth is supported, and your contributions truly make a difference. Here, you’ll be part of a diverse, ambitious team that celebrates creativity and collaboration.

Ready to make your mark? Join us and be part of something bigger.

Senior Data Scientist – Workday Practice

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.

Embracing our differences

At Kainos, we believe in the power of diversity, equity and inclusion. We are committed to building a team that is as diverse as the world we live in, where everyone is valued, respected, and given an equal chance to thrive. We actively seek out talented people from all backgrounds, regardless of age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic that makes them who they are. We also believe every candidate deserves a level playing field.

Our friendly talent acquisition team is here to support you every step of the way, so if you require any accommodations or adjustments, we encourage you to reach out.

We understand that everyone's journey is different, and by having a private conversation we can ensure that our recruitment process is tailored to your needs.