Data Scientists & Analysts
Our data specialists bridge the gap between complex datasets and business impact. Whether you need exploratory analysis, predictive modelling, or production-ready ML pipelines, our analysts and scientists embed seamlessly into your product and data teams — delivering insights that drive measurable outcomes.
Technologies
Python (pandas, NumPy)
TensorFlow / PyTorch
SQL / dbt
AWS SageMaker
Scikit-learn
Spark / Databricks
Tableau / Power BI
Airflow
MLflow
Typical Profiles
- Data Analyst — 2–4 years, strong in SQL, dashboarding, and stakeholder reporting; translates data into clear business narratives
- Data Scientist — 4–6 years, builds and validates ML models, experienced in feature engineering and statistical analysis
- Senior ML Engineer — 6+ years, architects end-to-end ML pipelines, owns model deployment and monitoring in production