Data Scientist (Hybrid)

Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.
We look forward to meeting you!

Job description

We are looking for a skilled and impact-oriented Senior Data Scientist to join our advanced analytics team. In this role, you will take ownership of complex, end-to-end data science projects—from design and modeling to deployment and integration. You will play a key role in shaping our airline’s digital retail transformation and revenue optimization strategy using the latest in machine learning, AI, and real-time analytics.

Key Responsibilities:
Leading end-to-end data science projects, including model design, development, deployment, and monitoring in production environments
Collaborating with integration engineers to manage testing workflows and production rollouts
Designing and implementing models for dynamic pricing and optimization (prior experience is a strong plus)
Building ML models for dynamic bundling and product recommendation systems
Contributing to revenue management initiatives as part of the Modern Airline Retailing transformation
Participating in exploratory projects involving chatbots, generative media (visuals/videos), and Agentic AI, based on evolving business needs
Analyzing existing datasets to develop decision support systems and advanced analytical models
Performing application-level integrations when needed to support end-to-end solution delivery

Required Qualifications:
Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field
Minimum 4 years of industry experience in data science, machine learning, or applied AI roles
Strong command of machine learning, predictive modeling, and optimization techniques
Proficiency in Python and key data science libraries (e.g., Pandas, Scikit-learn, TensorFlow, PyTorch)
Experience with production-grade model deployment and monitoring
Familiarity with SQL, Airflow, and version control tools such as Git (BitBucket)
Hands-on experience with containerization and orchestration tools (e.g., Kubernetes, ideally OpenShift)
Strong collaboration and communication skills to work across data, engineering, and business teams

Ready to take off with us? Apply now and be part of the journey.

Amaris Consulting is committed to promoting diversity within its workforce and to creating an inclusive work environment. We review applications from all qualified individuals regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or any other characteristic. Special consideration will be given to candidates with disabilities.