Senior Data Scientist(6 Years With Machine Learning, NLP, Applied AI, Or AI Product Development)

About the Role

FCC Innovation & Incubation team is seeking a passionate and highly motivated Senior Data Scientist to help build the next generation of AI-powered products and capabilities.

This role is ideal for a hands-on AI practitioner who enjoys solving complex business challenges, rapidly transforming ideas into working solutions, and scaling innovation into enterprise-grade products. You will work at the forefront of Generative AI, Agentic AI, Machine Learning, and Knowledge Retrieval, partnering with global product, engineering, content, and business teams to deliver meaningful customer and business impact.

Beyond building solutions, you will help drive an AI-first culture by developing reusable capabilities, challenging conventional approaches, and accelerating adoption of intelligent automation across the organization.

Key Responsibilities

• Design, develop, and deploy AI-powered solutions leveraging Machine Learning, NLP, Generative AI, RAG, and Agentic AI techniques.
• Translate business problems into prototypes, MVPs, and scalable production-ready solutions.
• Develop reusable AI frameworks, components, and accelerators that enable adoption across products and teams.
• Apply an AI-first mindset to identify opportunities for intelligent automation, workflow optimization, and business value creation.
• Partner with Product, Engineering, Content, and Business teams to deliver impactful customer outcomes.
• Drive delivery through agile ways of working, balancing experimentation, speed, and engineering quality.
• Communicate insights, innovation outcomes, and business impact through effective data storytelling and stakeholder engagement.
• Mentor team members and contribute to knowledge sharing, innovation forums, and AI communities across Wolters Kluwer.

Required Qualifications

Experience

• Experience in Data Science, Machine Learning, NLP, Applied AI, or AI Product Development.
• Proven track record of delivering AI solutions from experimentation through production deployment.
• Experience working within product-focused, cross-functional teams.
• Demonstrated ability to independently solve complex problems and deliver measurable business outcomes.

Technical Skills

• Strong expertise in Python and the modern Data Science ecosystem.
• Hands-on experience with Machine Learning, Deep Learning, NLP, and Statistical Modelling.
• Experience developing Generative AI applications using LLMs and modern AI frameworks.
• Strong understanding of RAG architectures, prompt engineering, embeddings, semantic retrieval, and vector databases.
• Exposure to Agentic AI and frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar technologies.
• Strong SQL and data engineering fundamentals.
• Experience building APIs and intelligent services using FastAPI or similar frameworks.
• Familiarity with Git, Docker, CI/CD, cloud platforms (Azure and/or AWS), and MLOps practices.
• Strong Computer Science fundamentals including data structures, algorithms, system design, and software architecture principles.

We are looking for individuals who:

. Demonstrate a

. Thrive in a builder culture, rapidly progressing from idea to prototype, MVP, and scalable solutions.

. Embrace a fail-fast, learn-faster approach while maintaining high engineering and delivery standards.

. Build trusted relationships and influence outcomes through strong collaboration with business, product, and technology partners.

. Adapt quickly to changing priorities, emerging technologies, and evolving business needs.

. Apply an AI-first mindset to reimagine workflows, automate processes, and unlock business value.

. Communicate complex technical concepts through compelling data storytelling and clear business narratives.

. Articulate customer, operational, and commercial impact, helping drive adoption and scale of innovative solutions.

. Actively contribute to the Data Science community through knowledge sharing, collaboration, and continuous learning.

Education

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Data Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.

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If you are passionate about building intelligent systems, challenging conventional thinking, and transforming innovative ideas into scalable business outcomes, wed love to hear from you.

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