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.

Feel valued for your contribution.Learn more about our team and culture on EcoVadis careers page. If you have questions about the company or open roles you can chat with an insider.

Job Description

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 6 months and will be discussed with the candidate.

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/Data science 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

• Location: Barcelona
• Contract: Internship of 6 months

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!

Benefits:

• International and very friendly work environment
• Hybrid for colleagues who live near our offices (4 days per month) otherwise remote in the country you were hired in
• Flexible working hours
• Home office allowance program
• IT equipment allowance
• 90 days Working from anywhere policy
• Meals and Transportation Vouchers (Cobee card)
• Health, Wellness, and Dental Benefits
• Unlimited and completely confidential sessions with psychologists and online well-being programs.
• Employee referral bonus policy
• Paid employee volunteer day
• Paid moving day ( 1/year)
• Access to online learning library
• Virtual and in-person team building events
• Co working space with various services + opportunity to work in different locations (Europe and International)

Our hiring team looks forward to reviewing your CV, in English, with a guaranteed response to every application. A new job with purpose awaits you!

Don’t fit all the criteria but still think you’d be a good candidate? Please apply anyway to give our hiring team the opportunity to assess your skills and to learn more about what you could bring to EcoVadis. We’re interested in hiring capable people, regardless of professional and educational background.

Can the hiring process be adjusted to suit my needs? Yes. We want everyone going through the hiring process with EcoVadis to feel confident that you are able to demonstrate your full potential. We welcome applications from disabled people, people with long-term health conditions, and neurodiverse candidates. If you need any adjustments, including the provision of interview questions, please let the hiring team know.

Our team’s strength comes from everyone’s uniqueness and is founded upon mutual respect. EcoVadis commits to equity, inclusion and reducing bias in our hiring processes. EcoVadis does not accept any form of discrimination based on color, national or ethnic origin, ancestry, citizenship, religion, beliefs, age, sex, gender identity, sexual orientation, neurodiversity, disability, parental status, or any other protected characteristic that makes you unique. In your application, we encourage you to remove personal information such as: photographs, marital status, number of children, religion, gender, residential postal code, university graduation date, past medical or parental leave(s) taken, nationality (instead, please state if you are legally eligible to work in the job region/country), university name (instead, please state any degrees obtained and the study major)