Senior Machine Learning Scientist

You will work on:

• Design, code, experiment and implement models and algorithms to enhance customer satisfaction, increase supplier value, optimize business results, and ensure infrastructure efficiency.

• Analyse large datasets including daily customer events, product, destination, supplier and pricing info, extracting key insights to spur innovation and improvement.

• Collaborate with product managers and various business stakeholders to ensure top-quality outcomes to meet internal objectives.

• Investigate and adopt innovative concepts that offer tangible benefits.

• Employ techniques like Deep Learning, Bayesian Modelling, Large Language Models, Product embedding, Recommendation Systems, and Computer Vision.

To be successful in the role, you'll need:

• 5+ years of hands-on data science experience.

• In-depth knowledge of AI/ML/DL, Statistics, and related open-source libraries.

• Awareness of current ML techniques, keen on self-improvement and striving to solve real-world data challenges.

• Strong skills in SQL and at least one programming language.

• Experience in ML model productization and a grasp of MLOps. 

• To be comfortable in code reviews, discussing architecture, and collaborating with a multidisciplinary team for regular model deployments.

• Experience in deploying online solutions and analysing real-time results through A/B testing.

• To be passionate about mentoring junior members of the team, and have a strong desire to help us perform to the best of our ability.

• Leadership qualities, autonomy, and team collaboration skills.

• Clear communication skills, awareness of the audience, and proactive sharing of findings. Actively involved in business networking and able to communicate complex ideas across the business simply and effectively. 

Desired qualifications:

• Master's or PhD in Computer Science, Operations Research, Statistics, or related quantitative disciplines.

• Knowledge in Large Language Models (LLM), dynamic pricing, image processing, or recommendation systems.

• Prior experience in e-commerce or at an Online Travel Agency.

Job Location: This role offers flexibility, allowing you to work either on-site hybrid or remotely from the UK, Poland, or Portugal. Occasional travel to company offices may be required

If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to [email protected] and let us know the nature of your request.  Please include the job requisition number in your message.

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