AI Data Scientist

Aumnitech; Dubai; On-site; AED 180,000 - 240,000; Full time

Job summary

Aumnitech in Dubai is seeking a data scientist to build and validate predictive and generative models that turn data into decisive client actions.

You will design ML models for prediction, classification, and forecasting, partner with engineering to move models from notebook to production, and surface insights from structured and unstructured data to guide client decisions.

Qualifications

• 3+ years in data science or applied ML with a quantitative degree or equivalent experience.
• Proficiency in Python (pandas, scikit-learn) and SQL.
• Experience with PyTorch or TensorFlow for deep learning.
• Solid grounding in statistics and experiment design.
• Ability to explain findings to non-technical audiences.

Responsibilities

• Design and validate ML models for prediction, classification, and forecasting.
• Partner with engineering to move models from notebook to production.
• Analyze structured and unstructured data to surface insight for client decisions.
• Build and maintain the data pipelines that feed AI models.
• Present findings and model performance clearly to technical and non-technical stakeholders.

Skills

Python (pandas, scikit-learn)

SQL

PyTorch

TensorFlow

Statistical methods

Experiment design

Explain findings

Education

Quantitative degree or equivalent experience

Job description

Job Description:

Builds and validates predictive and generative models, and turns data into decisions clients can act on.

What you’ll do

• Design and validate machine learning models for prediction, classification, and forecasting


• Partner with engineering to move models from notebook to production


• Analyze structured and unstructured data to surface insight for client decisions


• Build and maintain the data pipelines that feed AI models


• Present findings and model performance clearly to technical and non-technical stakeholders

What you bring

• 3+ years in data science or applied machine learning, with a quantitative degree or equivalent experience


• Strong Python (pandas, scikit-learn) and SQL


• Experience with a deep learning framework such as PyTorch or TensorFlow


• Solid grounding in statistical methods and experiment design


• Ability to explain findings clearly to non-technical audiences

Requirements: