Working student assisting Aurixus GmbH in process automation and integration of AI tools. Focused on building real automation solutions rather than discussing concepts.
About the role
- AI Senior Specialist driving AI innovation and embedding an AI culture in Kantar's Finance function. Identifying high-impact AI initiatives and collaborating with technology teams to implement solutions.
Responsibilities
- Identifying and championing high-value AI initiatives across finance processes.
- Acting as an AI advocate, driving awareness, education, and adoption of AI within finance teams.
- Translating business challenges into AI use cases and evaluating their impact.
- Bridging the gap between business and technology teams to pilot and implement AI solutions.
- Collaborating on the design, development, and deployment of AI/ML models for automation.
- Keeping up to date with the latest in AI (especially GenAI) and recommending new approaches.
- Promoting responsible AI, ensuring compliance, governance, and ethical standards are met.
Requirements
- A Bachelor’s or Master’s degree in a relevant field (e.g., Computer Science, Data Science, Finance with AI specialisation)
- Proven experience applying AI/ML in a business context, ideally within finance or enterprise functions
- Hands-on experience with LLMs, generative AI, and the AI product lifecycle
- PowerAutomate and Copilot experience
- Proficiency in Python and familiarity with the ML lifecycle
- The ability to identify and assess AI opportunities for business impact
- Excellent communication skills to engage both technical and non-technical colleagues
- A passion for building AI knowledge and culture within teams
Benefits
- Flexible hybrid working
- Up to 25 days off, life leave, plus your birthday off and two days paid for volunteering
- Meal card and flexible benefits where you are allocated funds to spend on a variety of benefits such as transport cost, education related and more
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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