Senior Data Scientist – Workday Products

🔥 2 minutes ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Kainos

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

💰 Venture Round on 1986-04

At Kainos we use technology to solve real problems for our customers, overcome big challenges for businesses, and make people’s lives easier.

📋 Description

• You will be responsible for developing high quality AI and ML solutions for our fast growing suite of Workday products – including Kainos Smart (Smart Test, Smart Audit and Smart Shield), Employee Document Management and Pay Transparency Analyzer. • You will work on the design and delivery of advanced AI/ML solutions that improve the functionality, scalability and efficiency of our Workday product suite. • You may also carry some formal line management responsibilities, including appraisals, for more junior members of the team.

🎯 Requirements

• Typically 4-5 years of relevant industry experience, or less when combined with a relevant PhD. • 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. • 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. • Basic experience with cloud technologies (e.g., AWS, Azure, or GCP). • Experience creating interactive visualizations and dashboards using tools such as Dash or Streamlit to communicate findings effectively. • Strong interpersonal skills, with the ability to lead client projects and explain technical concepts in non-technical terms.

🏖️ Benefits

• Private healthcare • Pension scheme • Flexible working hours • Professional development opportunities