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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level generalist data role in Bangalore with broad skill requirements increases competition.
Core data science skills are transferable, but financial services and risk knowledge raise domain specificity.
Mandatory 4+ years and quantitative degree preference create moderately strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead or participate in moderately complex data science initiatives applying advanced analytical, statistical techniques, and models to generate actionable insights and support large-scale planning.
Review and analyze large, complex structured and unstructured data sets to convert data into meaningful insights and recommendations independently and by leading teams to meet deliverables.
Collaborate with peers and mid-level managers to drive data-driven recommendations and strategies, communicate insights to non-technical audiences, and may lead projects or mentor junior staff.
Minimum Requirements
Minimum 4+ years of data science experience or equivalent via work, training, military, or education.
Master's degree or higher in a quantitative discipline (mathematics, statistics, engineering, physics, economics, or computer science).
Work Experience Required: Minimum 4+ years in data science-related roles.
Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in handling moderately complex data science projects involving large structured and unstructured data.
Proficient in advanced analytics tools and programming languages such as SQL, Python, SAS, and PySpark; familiar with GCP and BI tools like Tableau, Power BI, or Excel.
Ability to develop strategic analyses including customer profiling, segmentation, and machine learning techniques (segmentation, regression, decision trees, forecasting, clustering) and communicate insights clearly to both technical and non-technical stakeholders.