onsite
AI Data Scientist I - Harvey Nash
Data Scientist
Entry‑level AI Data Scientist role focused on building and deploying machine‑learning models using Python, SQL, and AWS cloud services, with hands‑on experience in frameworks such as Scikit‑Learn, TensorFlow, and PyTorch.
About the role
Key Responsibilities
- Develop, train, and evaluate machine‑learning models for business use cases using Python and libraries such as Scikit‑Learn, TensorFlow, or PyTorch.
- Write efficient SQL queries to extract, transform, and load data from relational databases for analysis and model training.
- Deploy and monitor models on AWS services, ensuring scalability, reliability, and cost‑effectiveness.
- Collaborate with cross‑functional teams to translate business requirements into data‑driven solutions and present findings to stakeholders.
- Maintain documentation of data pipelines, model versioning, and experiment results.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
- At least 1 year of hands‑on experience in data science, machine learning, or advanced analytics.
- Proficiency in Python programming and SQL for data manipulation and analysis.
- Familiarity with machine‑learning frameworks such as Scikit‑Learn, TensorFlow, or PyTorch.
- Basic experience with AWS cloud services for model deployment and data storage.
Skills
pythonsqltensorflowpytorchaws