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.
Job Description- As a Data Scientist, you’ll play a key role in turning strategic visions and roadmaps into real-world AI solutions - ranging from intelligent automation and predictive models to recommendation engines. This role sits at the heart of applied data science, with a strong focus on discovery, experimentation, and delivering business-ready outcomes.
- This is a hands-on technical role for someone who thrives on solving complex problems with data. As an individual contributor, you’ll work within a collaborative team environment that values autonomy, ownership, and technical excellence.
- You’ll partner closely with business stakeholders, product owners, and IT teams to design, build, and deploy machine learning solutions that drive measurable impact and enable smarter decision-making across the organization.
Key Responsibilities
- Develop, validate, and deploy machine learning and statistical models
- Collaborate with product managers, business SMEs, Software Engineers, Solution Architects, and Product/Program Managers to translate use cases into data-driven solutions
- Prepare and process structured and unstructured datasets for analysis and model training
- Evaluate model performance and continuously improve based on feedback and data drift
- Document methodologies and present findings clearly to both technical and non-technical stakeholders
- Support handover and integration of solutions into production environments
- Demonstrating curiosity in the latest and greatest tech trends.
- 1–5 years of hands-on experience in data science, with a proven track record of delivering successful AI/ML projects
- Demonstrated ability to bring AI/ML solutions to life end-to-end: from scoping and design to development, testing, deployment, and post-launch monitoring
- Experience building and deploying cloud-based ML solutions at scale, ideally using Docker and Kubernetes
- Strong foundation in advanced statistical modeling and data analysis
- Solid grounding in software engineering principles, DevOps practices, and MLOps deployment pipelines
- Effective communicator with the ability to explain complex technical topics to both technical and non-technical audiences
Skills
- Proficient in Python and key machine learning libraries (e.g., scikit-learn, pandas, NumPy, PyTorch/TensorFlow)
- Experience with ML experiment tracking and collaboration tools such as MLflow or Weights & Biases
- Familiarity with pipeline orchestration tools like Airflow, Kubeflow, or Argo
- Exposure to generative AI frameworks and SDKs (e.g., Langchain, Semantic Kernel, RAG), and tools like MS Co-Pilot Studio, ML Studio, Prompt Flow, Kedro, etc.
- Knowledge of infrastructure and operational concerns in deploying ML models to production environments
- Results-oriented mindset with strong problem-solving skills and a passion for innovation
- Highly organized, self-starter, able to manage multiple priorities and think strategically about opportunities to apply AI
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.
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