Applied AI Specialist - AI & Predictive Decision Science (m/f/d)

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Bayer is seeking an Applied AI Specialist in AI & Predictive Decision Science for Finance to bridge Finance process expertise with AI capabilities, ensuring outputs are contextually correct and plausible while partnering with Data and AI Science teams and prototyping improvements with no-code tools. The role offers two equally valid entry paths: a Finance professional eager to learn AI or an AI data professional grounding their skills in Finance to drive measurable business outcomes. Key tasks include validating AI outputs, root-cause analysis, embedding local business context, documenting issues, providing actionable feedback to scientists, and collaborating to implement process improvements. Requirements include 2–4 years of experience, a degree in Finance, Economics, Business or Data Science, strong cross functional communication in English, and the flexibility to work onsite in Basel or remotely from current location. To apply effectively, tailor your resume to highlight Finance processes and FP&A impact or analytics experience, showcase no-code or low-code projects, demonstrate clear stakeholder communication and a growth mindset, and reference Bayer’s 875891.

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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.

    YOUR APPLICATION      

Bayer welcomes applications from all individuals, regardless of race, national origin, gender, age, physical characteristics, social origin, disability, union membership, religion, family status, pregnancy, sexual orientation, gender identity, gender expression or any unlawful criterion under applicable law. We are committed to treating all applicants fairly and avoiding discrimination.

Bayer is committed to providing barrier-free access and support-facilities for individuals with disabilities - during the application process and beyond. Applicants with disabilities are encouraged to request any support / equipment they may need via the contact information below.
 

 

 

Location:

Switzerland : Basel-City : Basel  

 

Division:

Consumer Health

 

Reference Code:

875891