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.
- Strong 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