Lead Data Scientist

Are you an experienced Data Scientist eager to make a significant impact? We’re looking for a Lead Data Scientist to join Upright's Data Team and help shape the future of our cutting-edge impact data products, which power decision-making for 300+ institutional investment organizations and corporations across Europe and North America.

Upright's data teams plan, develop, and maintain the data pipelines and algorithms behind Upright's impact data products and supporting datasets. The work is directly tied to Upright's mission to equip companies' stakeholders with high-quality impact data – to help them see the forest from the trees in the increasingly overwhelming sustainability discussion.

As a Lead Data Scientist, you’ll play a crucial role in taking ownership of larger projects and initiatives, while potentially also guiding the team to deliver impactful results. You’ll take charge of technical leadership in key areas, own project delivery, mentor and coach team members, delegate tasks effectively, drive process improvements, and communicate with stakeholders to ensure projects are delivered on schedule, efficiently, and with impeccable quality.

This role offers the opportunity to work in a fast-growing company while shaping the future of our data products. Responsibilities will be tailored to match your experience and interests, ensuring you can thrive in a role that aligns with your strengths and ambitions.

If you’re ready to grow your career and lead meaningful change, we’d love to hear from you!

SIGNS OF BEING A GREAT MATCH FOR THIS ROLE INCLUDE:

• At least 6 years of professional experience in data science and/or software development
• Demonstrated ability to drive technical decision-making and set the technical direction for projects
• Proven experience leading data science teams, mentoring junior data scientists, and providing technical direction
• Strong ability for analytical and mathematical thinking
• Track record in writing production-quality software, especially in Python and Typescript
• Ability to work both autonomously and as part of a team
• Ability to see the big picture and prioritize work accordingly
• Ability to communicate clearly both verbally and in writing
• Solid track record of internal passion for excellence: you have gotten things done clearly better than what was required/expected from you, as you enjoy doing things well
  
  
  

ADDITIONALLY, WE VALUE THE FOLLOWING QUALIFICATIONS:

• Extensive practical experience in predictive modeling, Bayesian inference and/or convex optimization
• Experience in LLM-assisted data processing
• Experience in ETL pipelines
• Expertise in using cloud technologies such as AWS Sagemaker, Glue, ECR, and Fargate or similar services in Google Cloud or MS Azure
  
  
  

WHAT WE OFFER:

• A chance to join a quickly growing and highly ambitious impact SaaS company with a mission that matters
• A fun and kind team with exceptional people who care about what they do
• Exciting professional growth opportunities
• Competitive compensation, including stock options and a comprehensive healthcare package
  
  
  

Location: Helsinki, Finland.

Deadline: Candidates will be reviewed on a continuous basis and the role will be filled as soon as the right person is found.

Upright is on a mission to incentivize companies to optimize their net impact by enabling science-based decision-making for investors, customers, employees, and public sector agents. To do that, Upright develops a proprietary estimation model based on an open-access database of 200M+ scientific articles and artificial intelligence to quantify the net impact of companies on people, planet, society, and knowledge creation. In addition to net impact, Upright produces data on UN SDG alignment, EU taxonomy, and EU SFDR PAI indicators. Currently, our impact data platform is used by 300+ institutional investors and companies, such as Nasdaq, Nordea, Royal Bank of Canada, EQT, and Nokia.

Read more about us from our Careers website!

If you have any specific questions about the role, you can contact us via email at [email protected].