Senior Machine Learning Scientist

NLP PEOPLE; Barcelona; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading travel-tech company is seeking a Machine Learning Scientist to join their Strategic Analytics team. This role involves developing innovative machine learning solutions for real-world travel challenges, requiring strong expertise in algorithms and data analysis. The company offers a flexible working environment, professional development opportunities, and a commitment to diversity and inclusion.

Servicios

Shorter working week with half day on Fridays

Flexible working hours

Paid days off for volunteering

Travel industry discounts

Access to e-learning platforms

Social events for team bonding

Formación

• Minimum 2 years experience with Ph.D. or 5 years with Master's in machine learning.
• Excellent knowledge of machine learning algorithms and Python libraries.
• Experience with deep learning architectures and reinforcement learning.

Responsabilidades

• Develop real-time machine learning solutions for big data challenges.
• Create ranking and recommendation algorithms using deep learning.
• Collaborate with cross-functional teams to implement solutions.

Conocimientos

Supervised methods

Unsupervised methods

Python

SQL

Deep Learning

Reinforcement Learning

Uncertainty Estimation

Educación

Ph.D. in Computer Science, Mathematics, or Physics

Master's degree in relevant field

Herramientas

Keras

TensorFlow

PyTorch

Descripción del empleo

At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world.

We are looking for a Machine Learning Scientist to join our team of around 1,700 people worldwide to help us power up the travelers’ journey for millions of holidaymakers. If you are a motivated machine learning scientist who loves to work with challenging real-world problems on big data, keep reading, as you might be the perfect fit for this job.

Job Description

Job Title : Machine Learning Scientist

Working model : Remote from Spanish territory

Team : You will join the Strategic Analytics team in the Technology department.

Level : Professional

Location : Spain

Contract : Permanent – full-time (36 h / week)

What your impact will be :

• Develop real-time machine learning solutions to deal with challenging real-world problems on big data
• Develop Ranking / Recommendation Algorithms based on deep learning
• Develop Dynamic Pricing Algorithms based on reinforcement learning
• Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Qualifications

• A Ph.D. in Computer Science, Mathematics, or Physics with a minimum of 2 years of experience in machine learning, or a Master’s degree with a minimum of 5 years of experience in machine learning.
• Excellent knowledge of Supervised methods (Classification, Regression) and Unsupervised methods (Clustering, Feature Selection, Dimensionality Reduction)
• Good knowledge of Python and SQL, with knowledge of the most important Python libraries for Machine Learning and Data Analysis (scikit-learn, Pandas, matplotlib, Numpy, Scipy, MLflow)
• Experience with Deep Learning (Recurrent Neural Networks, Convolutional Neural Networks, and Autoencoders)
• Experience with Reinforcement Learning (Multi-Armed Bandits, Markov Decision Process, Q-learning)
• Experience with Keras (and TensorFlow) or PyTorch
• Experience in Uncertainty Estimation (Monte Carlo Dropout, Deep Ensembles)
• Able to find creative solutions to interesting problems
• Curious with a constant desire to learn and collaborate

Perks of working with us :

How we work together :

• An inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities)
• Shorter working week, with a half working day on Fridays
• Flexible start and end of the working day
• Possibility to work from anywhere for a period of time per year defined according to local regulations

How we learn together :

• Fri-Yays : half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and / or focus time.
• Professional and managerial skills development training paths, access to e-learning platforms such as O’Reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content

Other perks :

• 2 paid days off per year for volunteering purposes
• Occasional social events to foster connections among colleagues
• Travel industry discounts and flash exclusive staff fares
• We support our employees through life’s significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws.

Selection process steps :

• HR interview (10-30 minutes)
• 1st interview (Director) : soft skills + machine learning knowledge
• 2nd interview (Manager) : Machine learning + Python coding
• Please note the process can vary slightly. The recruiter in charge will share more details when setting up the interview)

Our commitment to celebrate diversity and generate belonging :

At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel.

Eligibility criteria :

By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.

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