At IndiaDataHub, we are driven by the mission to revolutionize the world's understanding of India through data. We're seeking an enthusiastic data scientist to join our growing team. At our core, data drives everything we do . That’s why we believe our operations data scientists drive customer experience on the platform. We're looking for someone who enjoys ideating and delivering high quality analytics and datasets for a wide variety of use cases across industries. What we offer: Early exposure to major financial institutions — Gaining deep knowledge across our products, client workflows, and the financial industry. A fast-paced client-facing environment with an opportunity work on variety of data and analytics problems across functions. Autonomy to own high-impact projects. Of course, a competitive salary comes in addition. Key Responsibilities: Own and drive the data pipelines from ideation to release. Identify sources of information, interpret and execute transformations and integrate new data source or update existing into process workflows . Implement robust data validation mechanisms to ensure that accuracy of data is not compromised. Monitoring of the pipelines and the workflows to make sure that data is validated for accuracy and is timely. Identify gaps and potential opportunities in serving the clients' data needs better. Qualifications and Skills: Degree in Engineering, Finance, Mathematics or Economics or equivalent with strong knowledge of python scripting . Ability to analyze variety of datasets and spot trends, noise, anomalies and patterns that impact data. Strong attention to detail. Willing to work early morning or late evening as per the data pipeline schedules Ability to work on multiple projects with shifting priorities in a fast-paced startup. Knowledge of financial markets, analytics or working towards certifications is a plus.

At IndiaDataHub, the mission is to revolutionize the world's understanding of India through data. An enthusiastic data scientist is being sought to join the growing team. Data lies at the core of operations, with operations data scientists driving customer experience on the platform. The ideal candidate should enjoy ideating and delivering high-quality analytics and datasets for a wide variety of use cases across industries. You will have the opportunity for early exposure to major financial institutions, gaining in-depth knowledge across products, client workflows, and the financial industry. Working in a fast-paced client-facing environment, you will have the chance to work on a variety of data and analytics problems across functions. Autonomy is provided to own high-impact projects, in addition to a competitive salary. Key Responsibilities: - Own and drive data pipelines from ideation to release. - Identify sources of information, interpret, and execute transformations, integrating new data sources or updating existing ones into process workflows. - Implement robust data validation mechanisms to ensure data accuracy is maintained. - Monitor pipelines and workflows to validate data accuracy and timeliness. - Identify gaps and potential opportunities to better serve clients" data needs. Qualifications and Skills: - Degree in Engineering, Finance, Mathematics, Economics, or equivalent with strong knowledge of Python scripting. - Ability to analyze a variety of datasets and identify trends, noise, anomalies, and patterns impacting data. - Strong attention to detail. - Willingness to work early mornings or late evenings as per data pipeline schedules. - Ability to handle multiple projects with shifting priorities in a fast-paced startup environment. - Knowledge of financial markets, analytics, or progress towards relevant certifications is a plus.,