Data Scientist – AI & Innovation Engineer

job description

IFS is a global powerhouse in enterprise software, boasting a billion-dollar revenue and a dedicated team of over 7,000 employees worldwide. We pride ourselves on being a “Team Purple” culture that prioritizes agility, trust, and a commitment to solving society’s greatest challenges through cutting-edge technology. By joining us, you’ll be part of an inclusive, international environment focused on sustainability and making a global impact at the “Moment of Service™.”

About the Role

In this pivotal position, you will lead the evolution of the DBVA platform—a core tool for our Business Value Assurance function. You will join a high-impact, fast-paced team dedicated to replatforming this solution by embedding sophisticated AI/ML capabilities, including AI agents and copilots. Your mission is to bridge the gap between complex business requirements and innovative, secure, AI-enabled solutions that drive real-world value.

Key Responsibilities:

• Prototype and deliver AI features (copilots, NLP, AI agents) with Azure AI/OpenAI • Deploy and maintain ML/AI components in Azure (App services, Azure ML, SQL integration) • Prepare and manage data for secure, multi-tenant use cases (RLS, B2B segregation) • Collaborate with System Engineer to integrate AI into React/Node.js solution • Translate business needs into prototypes and iterate quickly with users • Communicate outcomes, prepare demos and support training materials creation • Ensures ethical, secure and responsible AI usage aligned with company standards

Overall Competencies:

• Strong Python (or equivalent) skills with applied ML/AI frameworks (such as PyTorch, TensorFlow, Scikit-learn) • Practical experience deploying ML/AI in Azure • Familiarity with Azure OpenAI services, LLM APIs and API-based integrations • Strong SQL data handling skills in enterprise settings • Ability to prototype rapidly and iterate with business stakeholders • Understanding security, compliance and responsible AI practices • Communication skills to explain AI outcomes to business stakeholders

Qualifications

Essential: • Master’s degree in data science, Computer Science, Applied Mathematics or equivalent experience • 3-5+ years hands-on experience in data science/AI engineering • Proven experience of deploying AI/ML into production, preferably in Azure • Proven record of delivering business facing AI features (predictive models, copilots, agents or automation) • AI Integrations: Azure OpenAI, LLM APIs or NLP • Experience working with multi-tenant or enterprise data solutions • Strong English

Desirable: • Node.js/JS for API integrations • Advanced AI/ML libraries: OpenMMLab, DeepStream • Prototyping with AI agents and copilots • Delivered AI features tied to business use cases

Why IFS?

We believe that our people do their best work when they have the flexibility to balance their professional and personal lives. IFS offers a supportive hybrid work model designed to foster community and belonging while respecting individual needs. If you are an original thinker ready to challenge the status quo and #MakeYourMoment, we provide the tools and the platform to help you succeed.