Data AI Specialist

Introduction :

Helping create the services culture of the future! This is the vision of Kirey. And if you are ready to move on and build a career in a forward-looking company, then let’s meet!

What are we looking for?

We are looking for a highly skilled Data / AI Specialist to drive the innovation of our Financial Planning and Analytics (FP&A) capabilities. This role is central to our mission of automating complex end-to-end forecasting tasks and deploying intelligent, agentic AI workflows. You will work at the intersection of advanced machine learning and strategic financial operations, ensuring that our AI solutions are scalable, reliable, and deeply integrated into global business processes.

Key Responsibilities :

• Analyze and document data flows and feature engineering pipelines; write technical specifications and perform model validation and testing.
• Hands-on experience with GenAI and agentic AI systems (e.g., LLM-based agents, autonomous workflows, prompt engineering, orchestration frameworks), with the ability to design, evaluate, and deploy intelligent agents that automate end-to-end FP&A tasks.
• Apply project management best practices to manage model development cycles, experiments, timelines, and deliverables.
• Contribute to the deployment, monitoring, and sustainment of data science solutions in production environments.
• Prepare documentation for models, data pipelines, and AI components, ensuring clarity and long-term maintainability.
• Deliver training and knowledge transfer to end users, analysts, and support teams on AI-driven functionalities.
• Support global rollouts of ML/AI solutions with a strong product mindset, ensuring consistency, scalability, and adoption across markets.
• Collaborate with 3rd-party providers, engineering teams, and internal data hubs to troubleshoot, improve, and maintain AI solutions.
• Continuously explore and assess innovative AI/ML technologies relevant to FP&A and advanced forecasting (e.g., generative AI, time-series modeling, MLOps).
• Coordinate with vendor partners to implement industry best practices in algorithmic performance, model reliability, and cloud-based AI deployment.

And if you meet the following criteria:

• Bachelor’s degree or higher in Data Science, Computer Science, Applied Mathematics, Engineering, AI, or a related quantitative field.
• 3+ years of experience in data science or machine learning, ideally in financial planning, forecasting, or large-scale analytics environments.
• Strong knowledge of forecasting techniques, time-series modeling, and modern ML/AI approaches used in planning (e.g., gradient boosting, deep learning, probabilistic forecasting).
• Solid understanding of supply chain and FP&A concepts (e.g., demand planning, budgeting, S&OP) is a strong plus.
• Proficiency in statistical modeling, optimization, and simulation using tools such as Python, R, TensorFlow, PyTorch, SAS, or similar.
• Expertise in feature engineering, data pipelines, and handling large, complex datasets (structured & unstructured).
• Hands-on experience with cloud platforms (Azure preferred), MLOps frameworks, model monitoring, and CI/CD for ML.
• Strong SQL skills; experience with SQL Server, MySQL, or cloud databases.
• Familiarity with visualization tools (Power BI or equivalents) to support model explainability and business storytelling.

We Offer :

• Additional health insurance
• Food vouchers
• Sport cards
• Transport allowance
• Home Office
• Referral bonus program
• Modern office with a stunning view
• Charity & volunteer activities
• Free drinks at the office

Then you are the right candidate for this role!