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QuantCo

QuantCo

Enterprise data analytics and AI solutions

Applied Scientist - Artificial Intelligence/Machine Learning

Full-Time
No salary listed
Mid
Bachelor's, Master's, PhD
United States
Hybrid

About the job

Requirements
  • Deep expertise in at least one relevant area, such as machine learning, statistics, econometrics, or causal inference, with an interest in learning and working beyond it.
  • Strong command of the mathematical and statistical foundations behind machine learning, statistical inference, and experimental design.
  • Fluency in Python and its data and machine learning ecosystem, including pandas or Polars, scikit-learn, PyTorch or JAX, and XGBoost or LightGBM.
  • A degree in computer science, economics, statistics, mathematics, physics, engineering, or a related quantitative field.
Responsibilities
  • Frame problems and carry work from initial research through experimentation, model development, and continued iteration in production.
  • Design and analyze experiments, combine predictive modeling with causal inference, develop multimodal models using images, text, and structured data, train foundation models on sequences of medical events, and build agents for complex data and workflows.
  • Choose or develop methods suited to the problem and build production systems that inform and automate critical business decisions.
Desired Qualifications
  • Hands-on experience training, adapting, or evaluating deep learning and foundation models, or the curiosity and technical foundations to develop that experience quickly.
  • An advanced degree, specifically a Master of Science or Doctor of Philosophy, in computer science, economics, statistics, mathematics, physics, engineering, or a related quantitative field.

About the company

QuantCo uses data science and machine learning to help large organizations turn data into actionable business decisions through tailored solutions like algorithmic pricing, data-driven claims management, and high-dimensional forecasting. A team of over 100 experts in economics, data science, software engineering, and ML delivers models and tools for clients in finance, retail, industrial, and healthcare. The products analyze a company’s data, build predictive models, and integrate insights into existing processes to improve pricing, claims handling, and forecasting. The goal is to generate tangible economic benefits by saving money, optimizing operations, and increasing revenue through better decision-making, with differentiation coming from deep expertise and customized, business-focused implementations.

Company Size

201-500

Company Stage

N/A

Total Funding

N/A

Headquarters

Berlin, Germany

Founded

2017

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Simplify's Take

What believers are saying

  • QuantCo’s August 2026 website shows active demand across finance, retail, industrial, and healthcare.
  • The company posted 26 new colleagues in January 2026, signaling renewed hiring.
  • Its AI Applied Scientist role adds frontier-model work, broadening offerings beyond classic data science.

What critics are saying

  • Public layoff history shows two cuts since 2020, including a 2023 round.
  • Hiring ads still target niche roles, exposing dependence on specialized talent and utilization.
  • OpenAI, Anthropic, and in-house data teams can commoditize QuantCo’s core services within 24 months.

What makes QuantCo unique

  • QuantCo sells algorithmic pricing, claims management, and forecasting, not generic analytics consulting.
  • Its 2026 job posts emphasize live decision systems, causal inference, and scalable engineering.
  • It serves large financial, retail, industrial, and healthcare clients across Europe and America.

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Benefits

Stock Options

Relocation Assistance

Hybrid Work Options