Lead Data Scientist at Blend360

Montevideo, Montevideo, Uruguay -

Full Time

Start Date

Immediate

Expiry Date

05 May, 26

Salary

0.0

Posted On

04 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, Data Analysis, Financial Analytics, Data Pipelines, Scenario Analysis, Cash Flow Forecasting, Data Validation, Stakeholder Collaboration, Financial Concepts, Excel, Automation, Leadership, Communication, Modeling, Analytics Solutions

Industry

Professional Services

Description

Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Lead Data Scientist to contribute to our next level of growth and expansion. What is this position about? This role is focused on developing a portfolio management platform for a new investment fund, enabling portfolio-level cash flow forecasting, liquidity management, and scenario analysis. The Lead Data Scientist will be leading the development of scalable data science solutions by leveraging existing models, infrastructure, and financial data to support strategic decision-making. You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office in Montevideo, Uruguay or Bogotá, Colombia. Job Description Design and build production-ready data pipelines using SQL to support financial analytics and forecasting. Aggregate balances and transactions across multiple core systems and data sources. Ingest historical and projected cash flow drivers, including fundraising, investments, realizations, fees, taxes, and credit facilities. Develop and maintain financial and cash flow projection models in Python. Translate existing Excel-based models and business logic into automated, scalable data science workflows. Build historical cash flow bridges to explain liquidity movements and reconcile results with administrator records. Enable forward-looking projections and scenario analysis through user-driven assumptions such as deployment pace, leverage constraints, and cash minimums. Collaborate with stakeholders to understand the meaning of financial data and transform raw data into reliable analytical models. Ensure data validation, reconciliation, auditability, and robustness across all pipelines and models. Qualifications Strong experience with SQL and building data pipelines in production environments (mandatory). Proficiency in Python for data analysis, modeling, and automation. Experience translating complex business logic into scalable analytics solutions. Ability to quickly learn and work with complex financial datasets. Familiarity with Microsoft Excel. Experience with dbt and Snowflake is a plus. Basic knowledge of financial concepts is required; a stronger background in Finance or Accounting is considered a plus. Strong communication skills and ability to work with cross-functional stakeholders. Leadership capabilities and autonomy to operate effectively in a remote environment. What about languages? Advanced English proficiency is required for effective communication with international teams and stakeholders. How much experience must I have? 5+ years of experience in Data Science, Analytics, or a related field. Additional Information Our perks and benefits: 🍔 Every day lunches! (headquarters): Vegetarian, vegan, gluten and sugar free options. Gourmet meals every Friday with our on-site chef! ⚖️ Flexible working options to help you strike the right balance. 👨🏽‍💻 All the equipment you need to harness your talent (Macbook and accessories). ☕ Snacks and beverages available everyday (headquarters). 🎮 After office events, football, tennis and game nights (headquarters). ⚽️ Everyone is welcome to join our football league every Wednesday’s and Friday’s. Challenge your teammates to a pool game and win the office’s trophy! Tennis courts available for friendly matches. Not a sports person? Don’t worry, we also have chess championships, game and music nights for you to join! 📚 Learning opportunities: AWS Certifications (we are AWS Partners). Study plans, courses and other certifications. English Lessons. Learn from your teammates on our Tech Tuesdays! 👩‍🏫 Mentoring and Development opportunities to shape your career path. 🎁 Anniversary and birthday gifts. 🏡 Great location and even greater teammates! So what are the next steps? Our team is eager to learn about you! Send us your resume or LinkedIn profile below and we’ll explore working together!

Responsibilities

The Lead Data Scientist will develop a portfolio management platform for an investment fund, focusing on cash flow forecasting and liquidity management. They will lead the development of scalable data science solutions and collaborate with stakeholders to transform financial data into analytical models.