onsite
Data Scientist - Searchability NS&D
Data Scientist
Data Scientist role focused on building machine‑learning and NLP solutions on cloud platforms (AWS/Azure) using Python, supporting high‑impact public and private sector projects.
About the role
Key Responsibilities
- Design, develop, and deploy machine‑learning models and NLP pipelines to solve complex business problems.
- Leverage AWS and Azure services for data ingestion, processing, model training, and scalable inference.
- Collaborate with cross‑functional teams to translate requirements into data‑driven solutions and actionable insights.
- Perform data exploration, feature engineering, and model evaluation to ensure high performance and robustness.
- Maintain documentation, code standards, and reproducibility for all analytical deliverables.
Requirements
- Strong proficiency in Python and its data‑science ecosystem (pandas, scikit‑learn, TensorFlow/PyTorch).
- Hands‑on experience with Machine Learning, Natural Language Processing, and AI techniques.
- Practical knowledge of cloud platforms, specifically AWS and Azure, including services such as S3, EC2, SageMaker, Azure ML, and Data Lake.
- Ability to work with sensitive data under active Enhanced DV security clearance.
- Excellent problem‑solving skills and the ability to communicate technical concepts to non‑technical stakeholders.
Skills
pythonmachine learningnatural language processingawsazure