Applied AI Specialist - AI & Predictive Decision Science

Applied AI Specialist - AI & Predictive Decision Science (m/f/d)
Bayer Consumer Care AG
Applied AI Specialist - AI & Predictive Decision Science (m/f/d)
YOUR TASKS AND RESPONSIBILITIES
The Applied AI Specialist bridges Finance process expertise and artificial intelligence capabilities within the AI & PDS subhome. You ensure AI outputs are contextually correct, trustworthy, and plausible, combining domain knowledge with the ability to understand and work with AI. You validate AI-generated outputs, identify and prototype improvement opportunities using no-code/low-code tools, and serve as the critical interface between Finance domain knowledge and Data/AI Science delivery teams.
This role is designed with two equally valid entry paths: a Finance professional with solid process knowledge and a strong appetite to learn and apply AI and data science, or an AI/data professional seeking to ground their skills in Finance processes and contribute to measurable business outcomes.
KEY TASKS:
Validate AI-generated outputs for business plausibility and contextual correctness;
Perform root-cause analysis when AI outputs are unexpected, implausible, or incorrect;
Ensure local business context, market specificities, and domain knowledge are correctly captured in data inputs and model logic;
Document and escalate recurring output issues to inform model improvement cycles;
Provide structured, actionable feedback to Data/AI Scientists on output quality and contextual issues;
Identify opportunities where AI can improve Finance processes and workflow;
Prototype AI solutions using no-code/low-code tools;
Collaborate with Data/AI Science teams to implement AI-driven process improvements;
Communicate effectively with stakeholders to ensure alignment on AI initiatives;
Maintain up-to-date knowledge of AI technologies and their application to Finance processes.
WHO YOU ARE:
Bachelor's degree in Finance, Economics, Business Administration, Data Science, Computer Science, or a related field
2-4 years of relevant professional experience
Finance path: solid grounding in Finance processes (forecasting, reporting, controlling, or FP&A) with demonstrated curiosity and motivation to apply AI, data science, or digital tools
AI/Data path: hands-on experience with analytics, data science, or AI/ML tools and genuine motivation to develop Finance domain expertise and drive business outcomes
Ability to interpret AI outputs critically and identify gaps between model results and business reality
Strong communication skills: able to translate between business language and technical concepts
Comfortable working in cross-functional, agile environments with iterative ways of working
Curiosity, growth mindset, and comfort with ambiguity in a dynamic transformation environment
Proficiency in English (working language); additional languages are a plus
This position does not require necessarily relocation, the role can be done remotely from the employees current location. The role may be filled at any Bayer site. jid7776d08a jit0729a jiy26a