Job Title: AI Data Scientist (Offshore)

Duration: 6 Months (Extendable)
Experience: 6–8 Years
Location: Offshore (Remote)
Industry: Multi-Industry (with focus on Financial Sector)
Employment Type: Contract (6 Months - Higher possiblity for extension)

Job Summary

We are seeking a highly skilled AI Data Scientist with hands-on experience in building and deploying advanced data science and machine learning models, particularly within the financial services domain. The ideal candidate will have strong proficiency in Python, SQL, and Google Cloud Platform (GCP) tools — leveraging platforms like BigQuery, Vertex AI, Dataflow, Dataproc, Pub/Sub, GCS, and Looker to deliver scalable and automated AI solutions.

This is an exciting 6-month contract role (with potential extension) focused on developing descriptive, predictive, and prescriptive models and deploying them in production using MLOps best practices.

Key Responsibilities

• Design and develop data science and machine learning models across descriptive, predictive, and prescriptive analytics.

• Work closely with business stakeholders—especially in the financial sector—to translate complex problems into AI-driven solutions.

• Develop and automate end-to-end ML pipelines on GCP using Vertex AI, Dataflow, Pub/Sub, and Dataproc.

• Implement MLOps frameworks for continuous integration, deployment, and monitoring of machine learning models.

• Analyze large datasets using BigQuery and other GCP-native tools for data transformation, feature engineering, and model training.

• Visualize insights and performance metrics using Looker and other BI tools.

• Collaborate with data engineers, analysts, and cloud architects to ensure seamless model deployment and scalability.

• Evaluate model performance and refine algorithms for improved accuracy and business impact.

Required Skills & Qualifications

• 5–8 years of professional experience in data science, AI/ML, and analytics roles.

• Proven expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch) and SQL for data analysis and model development.

• Hands-on experience with GCP ecosystem, including:

  • BigQuery (data querying and transformation)

  • Vertex AI (model training, tuning, deployment)

  • Dataflow / Dataproc (data processing pipelines)

  • Pub/Sub (event-driven data streaming)

  • GCS (Google Cloud Storage) and Looker (visualization and reporting)

• Strong knowledge of MLOps automation and continuous deployment best practices.

• Experience developing models in financial services (risk scoring, fraud detection, customer analytics, forecasting, etc.).

• Strong understanding of statistical modeling, feature engineering, and model performance evaluation.

• Excellent problem-solving and communication skills with ability to work in multi-industry environments.

Preferred Qualifications

• Experience in multi-cloud or hybrid environments.

• Knowledge of CI/CD pipelines for ML (GitHub Actions, Jenkins, or Cloud Build).

• Exposure to deep learning frameworks (TensorFlow, PyTorch).

• Experience in time-series forecasting, credit modeling, or financial risk analytics.