
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.
🕒 5 days ago
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟢 Junior
🟡 Mid-level
📊 Data Scientist
🇬🇧 UK Skilled Worker Visa Sponsor
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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.
• Support the delivery of AI and ML solutions across fast-growing Workday products • Collaborate with senior colleagues to learn and apply data science techniques on live client projects • Build your technical skills in a fast-paced environment while contributing meaningfully to the team's delivery and growth
• Typically 2+ years of relevant industry experience • Foundational knowledge of mathematics, statistics, and machine learning principles • Working knowledge of Python programming • Hands-on experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch) • Some exposure to generative AI concepts and tools (e.g., OpenAI GPT, Hugging Face Transformers) • Basic awareness of cloud technologies (AWS, Azure, or GCP) • Some experience creating visualisations or dashboards (e.g., Dash, Streamlit) • BSc in a quantitative field such as Computer Science, Machine Learning, Operational Research, or Statistics
• Workday solutions • AI and ML solutions
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