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Product Research & Innovation (Raw Data) Intern

Applications are closed

  • Internship
    Full-time
    Summer Internship
  • Madrid

Requirements

  • Able to sign an internship agreement with your university
  • Authorized to work in Spain
  • Having minimum C1 English level. We communicate in English all the time
  • A degree in Engineering, Physics, Mathematics, or any other quantitative discipline.
  • Familiarity with SQL and/or Python languages. Ability to handle complex data sets.
  • Outstanding quantitative and critical thinking skills.
  • Self-starter, able to take ownership and initiative, with high energy and stamina.
  • Decisive and action-oriented, able to make rapid decisions even when short of information.
  • Highly motivated, independent, and deeply passionate about sustainability and impact.
  • Excellent oral and written English communication skills (minimum C1 level-proficient user), as you will be working with English-speaking colleagues.
  • Having previous working experience will be a plus.
  • Prior knowledge of the energy sector is an advantage.
  • Prior knowledge of corporate governance, ESG, and/or financial markets is an advantage.

Responsibilities

  • - Reviewing company-level sustainability issues including environmental, social and corporate governance practices, and synthesizing these findings into broader frameworks.
  • - Procuring, verifying, and processing data on sustainability by browsing through various financial, exchange, and government regulator websites and materials.
  • - Assessing trade-offs between different methodological options to calculate indicators and propose the most appropriate solution for our product.
  • - Identifying and proposing improvements and refinements to our methodologies.

FAQs

What is the role of the Product Research & Innovation Intern at Clarity AI?

The intern will help advance the capabilities of our ESG Data by reviewing company-level sustainability issues, procuring and processing sustainability data, assessing methodological options for indicators, and proposing improvements to our methodologies.

What are the educational requirements for this internship?

A degree in Engineering, Physics, Mathematics, or any other quantitative discipline is required.

Is previous work experience required for this internship?

Previous working experience is a plus but not a requirement.

What programming languages should I be familiar with for this internship?

Familiarity with SQL and/or Python is required to handle complex data sets.

What are the language requirements for this internship?

A minimum C1 English level is required, as communication within the company is conducted in English.

Are there any benefits associated with this internship?

Yes, benefits include ESOP/Phantom Stock, a training budget for professional growth, premium health insurance, access to fitness and wellness programs, and flexible work arrangements.

Where is Clarity AI's office located?

Clarity AI has offices in several locations, including Madrid, New York City, London, Paris, Riyadh, and Abu Dhabi.

Can I work completely remotely in this internship?

No, the internship operates on a hybrid model that promotes work-life balance with flexible schedules and remote work options.

What should I include in my application?

You should include your resume and any relevant documentation that demonstrates your qualifications and interest in sustainability and impact.

Is there an opportunity for professional development during the internship?

Yes, Clarity AI values continuous learning and allocates an annual training budget to support the professional growth of interns.

Add Clarity. Choose Sustainably™

Technology
Industry
201-500
Employees
2017
Founded Year

Mission & Purpose

Clarity AI brings societal impact to markets. We build-in a customizable, scalable sustainability tech kit to your existing workflow, which empowers you to efficiently and confidently assess, analyze and report on anything valuable to your clients and everything required by law. Add Clarity. Choose Sustainably.