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Machine Learning Scientist

Last Minute Group

Madrid

A distancia

EUR 45.000 - 75.000

Jornada completa

Hace 4 días
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Descripción de la vacante

Last Minute Group is seeking a Machine Learning Scientist to join their Strategic Analytics team. This full-time remote position in Spain involves developing machine learning solutions to improve the travel experience for millions. Ideal candidates hold advanced degrees in relevant fields and possess strong expertise in machine learning techniques, particularly with Python and associated libraries. The company emphasizes inclusivity and offers numerous perks, including a shortened workweek and a range of professional development opportunities.

Servicios

Flexible working hours
Shorter working week with half-day Fridays
Professional development training paths
Paid volunteering days
Travel industry discounts

Formación

  • Ph.D. in Computer Science or related field or Master's with 3 years of ML experience.
  • Excellent knowledge in Supervised and Unsupervised methods.
  • Good knowledge of Python and SQL, familiarity with machine learning libraries.

Responsabilidades

  • Develop real-time machine learning solutions for big data.
  • Create ranking algorithms based on deep learning.
  • Collaborate with cross-functional teams including machine learning scientists and software engineers.

Conocimientos

Machine Learning
Python
SQL
Deep Learning
Supervised Methods
Unsupervised Methods
Creative Solution Finding

Educación

Ph.D. in Computer Science, Mathematics or Physics
Master’s degree (3 years experience in ML)

Herramientas

scikit-learn
Pandas
matplotlib
Numpy
Scipy
MLflow
Keras
TensorFlow
PyTorch

Descripción del empleo

The Company

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 – Full remote in Spain

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 Algorithms based on deep learning
  • Collaborate in a cross-functional team, including machine learning scientists, software engineers, machine learning engineers, and project managers

Qualifications

Your expertise :

  • A Ph.D. in Computer Science, Mathematics, or Physics, or a Master’s degree with a minimum of 3 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 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
  • Additional Information

    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 (30 minutes)

    1st interview (Manager 1 hour) : Machine learning + Python coding

    2nd interview (Director 45 min) : Soft skills + machine learning knowledge

    Offer extended

  • Please note the process can slightly vary. 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.

    Please submit your resume in English

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