Data Science and Machine Learning Intern

Company Description

Work smart, have fun and make an impact!

Our purpose is to guide all companies toward a sustainable world.

EcoVadis is the leading provider of business sustainability ratings. Our solutions are backed by an international team of experts and powerful technology.

We analyze data and build sustainability scorecards that give companies actionable insights into their environmental, social and ethical risks.

Why apply to EcoVadis? Be a part of the global sustainability change in business. Grow your career. Work with extraordinary people.

Job Description

The Discovery Internship Program will enable you to discover the most trusted sustainability ratings from within and see how the different teams are working together in the truly CSR business environment. We prepared 14 cross-department paths in different locations, so don’t hesitate to apply to join us!

How to apply?

• 1 CV in English
• 1 Cover Letter: To understand your motivation better, please write in max 400 words a cover letter by answering the following questions::
  • Why do you apply to EcoVadis and specifically this position?
  • What do you expect from this internship?
  • What is your experience and how the internship can help you accelerate your career?

We are looking for a highly motivated student (pursuing Bachelor or Master’s degree) to join our growing R&D Team, responsible for using machine learning to drive innovation across the organization. The ideal duration of the internship is 4 months.

Your global responsibilities will include (but will not be limited to):

• Leverage data to solve business problems

• Uncover trends, patterns, correlations and other relationships in data and deliver actionable business insights using statistical, data mining and / or machine learning tools

• Experiment, build and maintain machine learning models

• Benchmark models

• Leverage tools like Python, Azure & SQL to drive efficient analytics

Qualifications

You have an outgoing personality along with an exceptional level of drive and a desire to pursue a career in an international and dynamic environment. 

• Enrolled in the BSc or MSc program in quantitative discipline (e.g., Statistics/Applied Math, Data Science, Artificial Intelligence, Computer Science, Physics) 

• Keen interest in Machine Learning/NLP and data mining techniques

• Enthusiastic, can-do attitude who can work independently as well as contribute to the team

• Strong communication and problem-solving skills, curiosity and collaborative spirit

• Any demonstrable experience in implementing machine learning models and coding in Python is a distinct advantage

• Excellent English communication skills, both written and verbal. Knowledge of other languages is a plus.

Skills, abilities and work standards:

• Continuous Learner – Ability to continually develop and improve one’s skill and knowledge to perform effectively and adapt to change in the workplace. Development occurs through a variety of learning opportunities, seeking feedback, and individual reflection. 

• Personally Effective - Making use of all of the personal resources at your disposal (talents, skills, energy, and time) to achieve goals. 

• Authentic - Being honest and authentic in communication, feedback and strategy.

• Results-driven - Setting high goals for themselves and others. They accomplish their goals by effectively working through challenges and demonstrate commitment to the company's goals. 

• Creative Problem Solver - Focused on improving their practices and results. They are open to new ideas and they maximize available resources. 

• Collaborator & Partner - Works effectively with others to achieve shared goals through cooperation, sharing knowledge, joint problem-solving, and celebrating success. 

Additional Information

Start Date: August

Location: Barcelona

Life at the Barcelona Office

Our growing team in Spain is full of talented professionals from various fields who all share a desire to make sustainability real. We offer competitive salaries and support personal growth from day one.

This includes extensive onboarding, teammates' support and a brand new e-learning platform bursting with courses and modules. So you can learn new skills and fine-tune old ones!

We also provide our team with the benefits of flexible working. Some of us work from home and some prefer to work from our easily accessible (metro, tram, bus, bike, suburban