This position can be based in London or Madrid. Remote options are available as well across the EU.
At Clarity AI, we are committed to bringing social impact to markets. We are a tech company started in 2017, leveraging AI and machine learning technologies to ensure environmental, social and governance dimensions are the focal point of decision making within financial markets.
We are now a team of more than 300 highly passionate individuals coming from all over the world. Together, we have established Clarity AI as a leading startup backed by investors and strategic partners such as BlackRock, Deutsche Börse and Softbank 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!
What are we looking for?
We like data scientists that work with data in a scientific way and that share our passion for bringing social impact to the markets and making a difference. At Clarity 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.
Requirements
As the ideal candidate for the position:
- gt;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.
- Deciding among possible solutions in a critical 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:
- Self-motivation and drive to succeed.
- Getting-the-job-done mentality.
- Learn by doing, all the time.
- Authorized to work in Europe / UK
Responsibilities of the role include
- 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.
Benefits
- WHAT WE OFFER:
People are one of Clarity’s main assets. We have built a unique team and we all share 3 differential aspects: Excellence, Passion and Values.
- The team comprises professionals from leading consulting and banking firms, MBA graduates from top business schools, entrepreneurs and researchers and PhDs.
- Clarity’s Founder and CEO, Rebeca Minguela, is a successful entrepreneur who has been recognized as one of the most distinguished leaders under the age of 40 by prestigious institutions like the World Economic Forum.
We are different. We work hard to become the best place to work and pride ourselves on our culture:
- Fact based: Promoting objective, fact-based and solution-oriented discussions.
- Diverse: Encouraging diversity of personalities, cultures and experiences.
- Transparent: Communicating feedback transparently, constructively and in real-time.
- Meritocratic: Striving for excellence and rewarding the best.
- Flexible: Working flexibly in the broadest sense (schedule, location, vacation, styles).
Clarity AI believes diversity, inclusion, and belonging