Required Skills & Experience:
Commercial data science experience, with 4+ years delivering endtoend data science projects, from exploratory data analysis and feature engineering through to model development, validation and translation of results into actionable insights.
Robust data manipulation and modelling skills, including experience in feature extraction, feature development and data modelling techniques.
Solid Python background, with experience writing clean, modular and maintainable code following best practices such as abstraction, exception handling and testing to support longterm maintainability.
Advanced SQL capability, particularly for data exploration, reporting, feature creation and extraction, and integration with analytical workflows.
Experience in data visualisation and dashboarding, using frameworks such as Grafana or Superset to support business use cases.
Ability to mentor and support colleagues, with experience guiding and supporting junior to midlevel data scientists.
Comfortable working in Agile environments,



with experience participating in sprint planning, reviews and retrospectives.
Robust communication skills, with the ability to explain complex analytical concepts clearly to both technical and nontechnical stakeholders.

Preferred Qualifications
Familiarity with cloud data platforms, including experience with products such as BigQuery, CloudSQL and similar solutions.
Networking or telecommunications domain knowledge, with an understanding of network infrastructure, operations or service monitoring environments.
Exposure to monitoring and observability tools, such as Prometheus, or similar metricsbased monitoring platforms.
Experience in one or more of the following analytics and machine learning areas: timeseries forecasting, anomaly detection, and correlation analysis, using either traditional statistical techniques or deeplearningbased approaches.

📌 Data Scientist Chennai
🏢 Randstad
📍 Chennai