IFS is a billion-dollar revenue company with 7000+ employees on all continents. Our leading AI technology is the backbone of our award-winning enterprise software solutions, enabling our customers to be their best when it really matters–at the Moment of Service™. Our commitment to internal AI adoption has allowed us to stay at the forefront of technological advancements, ensuring our colleagues can unlock their creativity and productivity, and our solutions are always cutting-edge.

At IFS, we’re flexible, we’re innovative, and we’re focused not only on how we can engage with our customers but on how we can make a real change and have a worldwide impact. We help solve some of society’s greatest challenges, fostering a better future through our agility, collaboration, and trust.

We celebrate diversity and understand our responsibility to reflect the diverse world we work in. We are committed to promoting an inclusive workforce that fully represents the many different cultures, backgrounds, and viewpoints of our customers, our partners, and our communities. As a truly international company serving people from around the globe, we realize that our success is tantamount to the respect we have for those different points of view.

By joining our team, you will have the opportunity to be part of a global, diverse environment; you will be joining a winning team with a commitment to sustainability; and a company where we get things done so that you can make a positive impact on the world.

We’re looking for innovative and original thinkers to work in an environment where you can #MakeYourMoment so that we can help others make theirs. With the power of our AI-driven solutions, we empower our team to change the status quo and make a real difference.

If you want to change the status quo, we’ll help you make your moment. Join Team Purple. Join IFS.

As a data scientist (AI/ML Engineer), you will be responsible for developing and deploying machine learning models and AI-driven solutions to support our finance and ERP systems. You will work closely with cross-functional teams including finance, IT, and business analysts to automate processes, optimize data workflows, and create predictive models that improve financial reporting, forecasting, and decision-making. Your work will directly contribute to enhancing the scalability, reliability, and accuracy of our finance operations.

Key Responsibilities:

AI/ML Model Development: Design, develop, and deploy AI/ML models to automate financial processes, enhance reporting capabilities, and optimize ERP systems.

Automation: Implement intelligent automation solutions to streamline finance-related workflows, such as transaction processing, reconciliations, financial forecasting, and auditing.

Data Integration: Work with data engineers to integrate financial data from various sources (ERP, CRM, etc.) and ensure seamless flow of data into machine learning models.

Predictive Analytics: Build predictive models for financial forecasting, cash flow prediction, anomaly detection, and trend analysis to assist in strategic decision-making.

Process Optimization: Identify opportunities within the ERP system for process automation and optimization, utilizing AI/ML techniques for improved financial performance.

Collaboration: Collaborate with finance, accounting, and business teams to understand business requirements and translate them into technical solutions.

Model Evaluation: Continuously monitor the performance of AI/ML models and refine them for accuracy, efficiency, and scalability.

Documentation & Reporting: Create clear documentation for models, data pipelines, and algorithms, and report on the impact of AI/ML solutions to leadership.

Research & Innovation: Stay up to date with the latest trends in AI/ML technologies and finance automation, bringing innovative ideas to the table for process improvement.

Required Qualifications:

Education:

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.

Experience:

• 3+ years of experience in AI/ML, with at least 2 years of experience working on finance or ERP systems.

Technical Skills:

• Strong experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Proficiency in programming languages (Python, R, SQL, etc.).\
• Experience in data preprocessing, feature engineering, and model tuning.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and data storage technologies (e.g., SQL, NoSQL, data lakes).
• Experience with AI-driven process automation and robotics (RPA) tools is a plus.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Excellent communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.