Fetcherr

Fetcherr helps airlines increase revenue by applying AI to pricing and market forecasting in real time. Their core product, the Generative Pricing Engine (GPE), uses the Large Market Model (LMM) to simulate market dynamics and forecast demand, enabling dynamic pricing and inventory adjustments across the revenue management pipeline. The platform combines generative modeling, demand forecasting, and real-time market simulation to recommend price and inventory actions for carriers. Fetcherr is offered as an enterprise AI solution for airlines and integrates into airline revenue management and distribution workflows. The company targets global carriers and has been deployed with major airlines to drive measurable revenue uplift and operational improvements.

saasfetcherr.io

Fetcherr

saasfetcherr.io

HQNetanya

Team Size208

Open Jobs57

Total Funding$157M

Latest Fundraise6 months ago

Join the Team

Data Scientist

HybridTel Aviv District

Hybrid • Tel Aviv District

Teeming tracks opportunities at over 24,000 AI startups, then works with you to find (and land) the one you'll love.

Data Scientist

Full-timeRotterdam, NL

Full-time • Rotterdam, NL

Software Engineer

ContractTel Aviv

Contract • Tel Aviv

Frontend Developer

ContractTel Aviv

Contract • Tel Aviv

Machine Learning Engineer

Part-timeJerusalem

Part-time • Jerusalem

DevOps Engineer

InternshipRotterdam, NL

Internship • Rotterdam, NL

DevOps Engineer

Full-timeMunich, DE

Full-time • Munich, DE

Fetcherr is an AI-driven company specializing in deep learning, algorithmic trading, and large-scale data solutions. Our core technology, the Large Market Model (LMM), enables accurate demand forecasting and real-time, data-driven decision-making. Originally focused on the airline industry, Fetcherr is expanding its AI solutions across additional industries.

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.

Responsibilities

:Develop and implement state-of-the-art econometric and machine learning models for demand forecasting
.Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability
.Collaborate with cross-functional teams (including product, data engineering, and backend) to deploy ML systems in production
.Mentor junior team members and promote best practices across modeling, experimentation, and code quality
.Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives

**.

You’ll be a great fit if you have.**

..5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcome
s.Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn, SQL
).Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related area
s.Domain expertise in revenue management related pipelines, domains, problem
s.Feature engineering, feature importance testing, per sample explainability based experienc

s.Nice to hav

e:Experience applying ML in domains like finance, trading, reinforcement learning, or NL
P.Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions
).Strong data visualization and exploratory data analysis skill
s.Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architecture
s.Participation in competitive programming or data science challenges (e.g., Kaggle

If you're excited about building impactful AI systems in a high-growth startup environment, and want to help redefine how industries price, forecast, and optimize, we’d love to hear from y

ou.