Senior Data Scientist – Workday Products

🕒 July 22

🌐 United Kingdom, Poland – Remote

🇬🇧 United Kingdom – Remote 🇵🇱 Poland – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

🇬🇧 UK Skilled Worker Visa Sponsor

This company has sponsored UK Skilled Worker visas in the past.

👻 Ghost score 24%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Kainos

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 Venture Round on 1986-04

Healthcare • Marketing • Logistics

Kainos is a technology company focused on solving real problems for its customers and enhancing business operations through innovative IT solutions. With specialties in Enterprise Content Management, Application Management Services, Systems Integration, and Digital Transformation, Kainos serves clients across various sectors including healthcare, commercial, and the public domain. Their emphasis on building strong relationships and delivering impactful solutions is reflected in their two main business areas: Digital Services and Workday Practice, aimed at improving the lives of people and the functionality of organizations globally.

📋 Description

• Develop high-quality AI and ML solutions for Kainos’ Workday product suite • Design and deliver advanced AI/ML solutions to improve product functionality, scalability, and efficiency • Work on products including Kainos Smart, Employee Document Management, and Pay Transparency Analyzer • Deploy reliable AI/ML solutions in production environments in collaboration with engineering teams • Lead client projects and communicate technical concepts in non-technical terms • Potentially carry formal line management responsibilities, including appraisals, for junior team members • Create interactive visualizations and dashboards to communicate findings effectively

🎯 Requirements

• Typically 4-5 years of relevant industry experience, or less when combined with a relevant PhD • Proficient in mathematics, statistics, and machine learning principles • Proficient in Python programming, including clean, efficient, and maintainable production code • Hands-on experience with Scikit-learn, TensorFlow, or PyTorch • Experience deploying AI/ML models to production systems with engineering teams • Experience with generative AI use cases and large language models such as OpenAI GPT or Hugging Face Transformers • Basic experience with AWS, Azure, or GCP • Experience creating interactive visualizations and dashboards using Dash or Streamlit • Strong interpersonal skills and ability to lead client projects and explain technical concepts to non-technical audiences • Advanced degree in a quantitative field such as Computer Science, Machine Learning, Operational Research, or Statistics is desirable • Track record of delivering data science projects, especially in enterprise software or SaaS environments is desirable • Familiarity with CI/CD pipelines and MLOps practices is desirable • Experience with Docker and Kubernetes is desirable • Proficiency in cleansing, filtering, and integrating relational and NoSQL database data is desirable • Familiarity with Workday data structures, APIs, and reporting tools is desirable • Experience mentoring junior team members and participating in formal performance appraisal processes is desirable • Prior knowledge-sharing experience through teams or public forums is desirable

🏖️ Benefits

• People-first culture • Growth and development support • Diversity, equity and inclusion commitment • Recruitment accommodations and adjustments • Recruitment process tailored to candidate needs through private conversation