Senior Data Scientist: NLP

Clarity AI is a global tech company founded in 2017 committed to bringing social impact to markets. We leverage AI and machine learning technologies to provide investors, governments, companies, and consumers with the right data, methodologies, and tools to make more informed decisions.

We are now a team of more than 300 highly passionate individuals from all over the world. Together, we have established Clarity AI as a leading sustainability tech company backed by investors and strategic partners such as SoftBank, BlackRock, and Deutsche Börse, who believe in us and share our goals. We have plans to continue growing our teams in Spain, the UK, and the US this year, so if you would like to join us on this rocket ship, keep reading! Your work will shape and guide the sustainable decisions of consumers and investors worldwide.


At Clarity AI, you will help develop the “gold standard” to quantify social impact that will be used by investors, consumers, and governments:

  • Use state-of-the-art NLP tools, including the latest large language models, to efficiently extract, classify, and generate sustainability information
  • Working side-by-side with a top-talent team from business and academia.


Location

The role can be based in London or Madrid. Remote options are available as well across the EU.

Way of Working: Remote / Hybrid


Key Responsibilities

  • You are expected to expand the technical expertise of our current NLP team. You will share that expertise by both providing technical guidance to the team and mentoring junior members.
  • Day-to-day, you will have freedom to research, design, validate, and deploy NLP models to improve our current NLP systems.

Requirements

As the ideal candidate for the position:

  • >4 years of working experience as a Data Scientist, 2 years experience with NLP
  • You excel at problem solving:
    • Clarifying the nature of a problem and formulating relevant questions.
    • Breaking down a problem into smaller, more manageable parts, creating business value every step of the way.
    • Implementing actions and evaluating outcomes in a quantitative way.
  • You have strong communication skills. The right candidate can thrive in an environment of asynchronous conversation, since a part of the Clarity team is based outside Europe. We expect you to have strong communication skills and be able to create working relationships with coworkers across various locations.
  • You possess and know how to share technical expertise:
    • Practitioner of modern NLP tools and techniques for classification, extraction, summarization, regression etc
    • Proficiency in standard tools
      • Preferred Python and its data science ecosystem (spacy, nltk, Hugging Face, OpenAI, etc).
      • SQL and noSQL databases
    • and techniques:
      • Data processing and cleaning
      • Working with limited labeled data and humans in the loop
      • Fine tuning and stacking of models
      • Regression, classification, clustering and other standard algorithms.
    • Bonus points if you have experience in
      • Deploying big data technologies like Spark or Dask
      • Using pipeline orchestration tools like Airflow
      • Work experience in a software company / using software best practices in your day-to-day work
  • You have a start-up way of working
  • Authorized to work in Europe / UK

Benefits

  • ESOP / Phantom Stock: We want our employees to really feel part of Clarity AI. That's why we allow them to participate in our success with ESOP or Phantom stock options.
  • Empowered Learning: We value continuous learning development and allocate an annual training budget to support your professional growth.
  • Premium Health Insurance: We provide access to one of the top health insurance plans in the market, powered by Cigna.
  • Wellness and Fitness (Gympass): Access to your preferred and your favorite gyms and studios - as well as online live fitness classes, health & wellness apps, and virtual personal training sessions.
  • Flexible Work Arrangements: We promote work-life balance through flexible schedules and remote work options. For our hybrid work set-ups, we have offices in Madrid (complete with healthy food options and monthly office events), New York City, London, Paris, Riyadh, and Abu Dhabi, and access to a global network of co-working spaces.

Our Culture

At Clarity AI, we are dedicated to cultivating an exceptional workplace environment. We take pride in our culture, defined by our commitment to being fact-based, diverse, transparent, meritocratic, and flexible.

To learn more about working with us, please check out our LinkedIn page and visit our website.

More about Clarity AI

Clarity AI’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur recognised as one of the most distinguished leaders under 40 by prestigious institutions like the World Economic Forum. Rebeca is joined by excellent leadership from diverse backgrounds, countries and experiences. As well as teams of professionals from leading tech, consulting and banking firms, entrepreneurs, PhDs from top research institutions, and MBA graduates from top business schools.

Clarity AI has received several awards:

  • Investment Week - Best Sustainable Investment Research & Ratings Provider 2023
  • Fast Company - Most Innovative Companies 2023
  • The Forrester New Wave Leader: ESG Ratings, Data, and Analytics 2022
  • European Commission | EU Seal of Excellence 2020
  • World Economic Forum - Technology Pioneer 2020
  • World Economic Forum, Young Global Leader - Rebeca Minguela

Clarity AI believes diversity, inclusion, and belonging are essential for creating an innovative and successful workplace. By actively promoting and engaging in sustainability efforts, we can help create a more equitable and resilient future for our planet and all its inhabitants.


Thank you!

If you are interested or have any questions, please reach out to [email protected]

Ace your job interview

Understand the required skills and qualifications, anticipate the questions you may be asked, and study well-prepared answers using our sample responses.

Senior Data Scientist Q&A's
Report this job

This job is no longer available