Data Scientist

Kainos; Belfast City District; On-site; GBP 28,000 - 51,000; Full time

Job summary

We are Kainos in Belfast, seeking an Associate Data Scientist to join our Workday Products division. You will join a diverse, ambitious team delivering AI/ML solutions across a fast-growing suite of products and learn from senior colleagues.

This full-time role offers opportunities to build technical skills in a fast-paced environment while contributing to real client projects. A strong foundation in ML and Python is expected.

Qualifications

• 2+ years of relevant industry experience.
• Foundational knowledge of mathematics, statistics, and ML principles.
• Working knowledge of Python with interest in clean, efficient code for AI/ML.
• Hands-on experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Exposure to deploying AI/ML models with engineering colleagues.
• Some exposure to generative AI concepts/tools (OpenAI GPT, Hugging Face).
• Basic awareness of cloud technologies (AWS, Azure, GCP).
• Experience creating visualisations or dashboards (Dash, Streamlit).
• Good interpersonal skills; ability to explain tech to non-technical audiences.
• Enthusiasm for learning from senior team members.
• BSc in a quantitative field (CS, ML, OR, Stats).
• Academic/internship/personal projects delivering data science outputs.
• Basic familiarity with CI/CD or MLOps concepts.
• Exposure to Docker containerisation.
• Experience with relational/NoSQL databases (PostgreSQL, MongoDB).
• Familiarity with Workday data structures/APIs/reporting is an advantage.
• Willingness to participate in team knowledge-sharing activities.

Responsibilities

• Support the delivery of AI and ML solutions across our Workday Products division.
• Work on products including Kainos Smart, Employee Document Management, and Pay Transparency Analyzer.
• Collaborate closely with senior colleagues to learn and apply data science techniques on live client projects.
• Contribute meaningfully to our teams delivery and growth.
• Help support the deployment of AI/ML models alongside engineering colleagues.
• Explain technical concepts to non-technical audiences when needed.
• Participate in collaboration and knowledge-sharing within the team.

Skills

ML fundamentals

Python programming

Data storytelling

Team collaboration

Learning mindset

Explain concepts

2+ years experience

CI/CD familiarity

Cloud familiarity

Education

BSc in a quantitative field

Tools

Docker

PostgreSQL

MongoDB

PyTorch

TensorFlow

Scikit-learn

Cloud platforms (AWS/Azure/GCP)

Job description

Salary: £28,000 - 51,000 per year

Requirements:

• Typically 2+ years of relevant industry experience.
• Foundational knowledge of mathematics, statistics, and machine learning principles, with the 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 such as Scikit-learn, TensorFlow, or PyTorch.
• Exposure to supporting the deployment of AI/ML models, working alongside engineering colleagues.
• Some exposure to generative AI concepts and tools such as OpenAI GPT or Hugging Face Transformers, gained through coursework, internships, or personal projects.
• Basic awareness of cloud technologies such as AWS, Azure, or GCP.
• Some experience creating visualisations or dashboards such as Dash or 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.
• 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 such as Docker.
• Some experience working with relational or NoSQL databases such as PostgreSQL or MongoDB.
• Familiarity with Workday data structures, APIs, or reporting tools is an advantage.
• Willingness to participate in team knowledge-sharing activities.

Responsibilities:

• Support the delivery of AI and ML solutions across our Workday Products division.
• Work on products including Kainos Smart, Employee Document Management, and Pay Transparency Analyzer.
• Collaborate closely with senior colleagues to learn and apply data science techniques on live client projects.
• Contribute meaningfully to our teams delivery and growth.
• Help support the deployment of AI/ML models alongside engineering colleagues.
• Explain technical concepts to non-technical audiences when needed.
• Participate in collaboration and knowledge-sharing within the team.

Technologies:

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Support
• Machine Learning
• MLOps
• MongoDB
• NoSQL
• PostgreSQL
• PyTorch
• Python
• TensorFlow

More:

We are Kainos, a people-first company of problem solvers, innovators, and collaborators focused on creating real impact through digital services and Workday solutions. As an Associate Data Scientist in our Workday Products division, you will join a diverse, ambitious team working on AI and ML solutions across a fast-growing suite of products. This is a full-time role with opportunities to build technical skills in a fast-paced environment while learning from senior colleagues. We value creativity, collaboration, and inclusivity, and we support candidates who may need accommodations during the recruitment process.

last updated 36 week of 2026