About The Role:

• As a Data Scientist at Enfuce, you will design, deploy, and scale AI-driven products that directlyimpact how we operate and how customers experience our services.
• Your focus will be onbuilding and deploying AI agents and machine learning models that integrate with systems and tooling to automate processes and create customer-facing value.
• You will partner with business stakeholders to identify how technical solutions like agents and machine learning can solve complex business problems, ensuring every project delivers measurable outcomes.
• You will be part of Enfuce’s Data & AI team, spanning data engineering, analytics, and machine learning. Together we own a modern data platform that powers everything from regulatory reporting and internal analytics to embedded customer-facing products, making data a driver ofvalue across the company.

What You'll Be Doing:

• Design, train, validate, and deploy machine learning models and LLM-powered agents into workflows, systems, and customer-facing platforms, ensuring scalability, reliability, and governance.
• Prototype and test AI use cases, evolving experimentation into scalable, productised solutions in close partnership with business stakeholders.
• Explore new AI services and workflows such as Snowflake Cortex AI and Snowflake ML.
• Collaborate across data disciplines, software engineers, and business stakeholders to align on requirements and deliver integrated AI solutions.
• Own stakeholder communication by clarifying requirements, translating business problems into technical solutions, and proactively managing expectations throughout the project lifecycle. Contribute to the team’s ways of working by actively participating in planning, reviews, and knowledge sharing to ensure alignment and continuous improvement.

What you'll bring:

• Master’s degree in Data Science, Computer Science, or equivalent practical experience. - Proficiency in Python (pandas, scikit-learn, PyTorch/TensorFlow) and SQL.
• Experience deploying ML solutions in production on cloud platforms (AWS, Snowflake, or similar).
• Familiarity with LLMs, NLP techniques, and frameworks for building AI agents. - Ability to explain models, insights, and limitations clearly to both technical and non-technical audiences.
• Pragmatic and outcome-driven, with strong ownership of end-to-end delivery.
• Strong interpersonal skills to engage across data disciplines, software engineering, and business stakeholders, ensuring alignment and impact.

Why You’ll Love Working At Enfuce:

• High autonomy & ownership: We give you the freedom to own your work and trust you to make the best decisions for your projects.
• Top-tier talent: Join a team of industry experts and highly skilled professionals who are as passionate as you are about innovation.
• Unlimited growth potential: We support your ambition with plenty of room for personal and professional growth within the company.
• Flexible, remote work: Work from anywhere up to 30 days, in an environment that values flexibility and work-life balance.
• A supportive culture: You’ll be part of a team that encourages, motivates, and celebrates success together.

Comprehensive benefits package: We take care of our people with great benefits to match the value you bring.

Benefits & Perks:

Fair pay and employee stock option:

• We value the input of every employee and want you to tap into the growth we build together. That’s why our salaries are competitive and reassessed regularly, and you have access to an employee stock option program.

Flexible Paid Time Off:

• We offer a flexible paid time off policy, providing up to 5 weeks of annual vacation days and paid family leave (subject to country regulations). Additionally, you can benefit from hybrid or remote work options, promoting a healthy work-life balance.

Regular Fun With Your Team:

• To spend other than work-related time with your teammates, you get a team activity budget for three quarters a year. The fourth quarter is reserved for a company-wide event.

Individual Learning Budget:

• You get a yearly learning budget to use for courses and other relevant learning opportunities that help you develop your skills.