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About The Company
Kainos is a leading technology company dedicated to transforming digital services across various industries. With a focus on innovation and collaboration, we deliver cutting-edge solutions that create meaningful impact for our clients and their customers. Our expertise spans digital transformation, cloud computing, AI, and enterprise software, making us a trusted partner for organizations seeking to modernize their operations. At Kainos, we foster a people-first culture that values creativity, diversity, and continuous growth. Our team is composed of passionate professionals committed to pushing the boundaries of technology and delivering exceptional results. We believe in empowering our employees through supportive development programs, inclusive work environments, and opportunities to work on impactful projects worldwide.
About The Role
We are seeking a highly skilled Lead Data Scientist to join our Workday Products division. In this strategic role, you will be instrumental in designing and implementing advanced AI and machine learning solutions that enhance our suite of Workday offerings, including Kainos Smart (Smart Test, Smart Audit, Smart Shield), Employee Document Management, and Pay Transparency Analyzer. Your expertise will drive innovation in predictive analytics, anomaly detection, and intelligent automation, improving the scalability, functionality, and efficiency of our products. You will collaborate closely with clients to understand their needs, mentor a team of data scientists, and provide thought leadership across the organization. This role also involves line management responsibilities, including team development, performance appraisals, and career progression planning. As a key member of our team, you will help shape the future of AI-driven enterprise solutions and ensure the successful delivery of high-impact projects.
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Qualifications
- Typically 8+ years of relevant industry experience or a relevant PhD with 4-5 years of industry experience
- Strong programming skills in Python, with a focus on scalable, maintainable code
- Extensive experience with machine learning frameworks such as Scikit-learn, TensorFlow, PyTorch
- Proven expertise in deploying, maintaining, and optimizing production-grade AI/ML solutions
- Experience with MLOps practices, including CI/CD pipelines, model versioning, and monitoring
- Hands-on experience with containerization and orchestration tools like Docker and Kubernetes
- Proficiency in cloud platforms such as AWS, Azure, or GCP, and leveraging cloud-native AI tools
- Strong data engineering skills, including data wrangling, pipeline creation, and database management
- Experience designing and implementing generative AI solutions using large language models
- Ability to create interactive dashboards and visual analytics using tools like Streamlit, Plotly, or Dash
- Proven leadership experience in managing and mentoring data science teams
- Excellent interpersonal and communication skills, with a track record of client engagement
Responsibilities
- Lead the design, development, and deployment of advanced AI/ML solutions for Workday products
- Drive innovation by exploring new AI techniques, including predictive analytics, anomaly detection, and generative AI
- Collaborate with clients to understand their business needs and translate them into technical solutions
- Mentor and develop data science team members, supporting their career growth and skill development
- Establish best practices for AI/ML development, including pipelines, MLOps, and integration with enterprise systems
- Ensure the scalability, robustness, and security of AI solutions deployed in production environments
- Stay updated on emerging AI trends and incorporate relevant advancements into projects
- Contribute to internal knowledge sharing, workshops, and external thought leadership activities
- Manage project timelines, deliverables, and stakeholder communications effectively
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Benefits
- Competitive salary and performance-based incentives
- Comprehensive health, dental, and vision insurance plans
- Flexible working hours and remote work options
- Opportunities for professional development and continuous learning
- Inclusive and diverse work environment that values innovation and creativity
- Supportive onboarding and mentorship programs
- Participation in cutting-edge projects with global impact
- Generous leave policies and work-life balance initiatives
Equal Opportunity
Kainos is committed to fostering an inclusive environment where everyone is valued and respected. We are an equal opportunity employer and do not discriminate based on age, race, ethnicity, gender, sexual orientation, religion, disability, or any other characteristic protected by law. We actively seek to build a diverse team, believing that varied perspectives drive innovation and success. We welcome applications from all qualified candidates and ensure a fair and transparent recruitment process. If you require accommodations during the application process, please contact our talent acquisition team, who will be happy to support you.
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