Sr. Data Scientist

Straive • Artificial Intelligence • Data & Analytics • Python • SQL • Tableau • Power BI • 1 day ago
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Salary
≈ $21k – $46k per year (Estimated)
Location
In office (Bengaluru, Gurgaon, Pune)
Seniority
Senior · 5+ years exp

First seen by Alion on Oct 25, 2026.

Overview
Company
Impact
Profile match

Straive

SPi Global, formed in 1980 deals in the fields of Data Intelligence, Knowledge, Analytics, UI/UX/App Dev, Digitization, Marketing & Support Solutions, Integrated Workflow Solutions, E-learning, Content/Design Dev.
straive.com • Mumbai • Delhi • Pune • Bengaluru • Hyderabad • Data & Analytics • Artificial Intelligence • E-learning • Data Entry & Processing • Business Process Outsourcing (BPO) • 201-500 employees • Est. 1980
Tech stack of Straive

We are seeking an experienced Senior Data Scientist to design and deploy advanced analytical models for the financial sector. You will be responsible for transforming complex financial datasets into actionable intelligence, focusing on risk mitigation, recovery optimization, and the integration of Generative AI into production systems.


Responsibilities:

  • Lead the development and deployment of machine learning models and algorithms to address business challenges.
  • Design, develop, and implement advanced data analysis strategies and machine learning solutions.
  • Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights.
  • Stay abreast of the latest advancements in AI and ML technologies and integrate them into existing processes.
  • Mentor and provide guidance to junior data scientists and analysts.
  • Communicate complex analytical results and methodologies to non-technical stakeholders in a clear and concise manner.


Requirements:

  • Experience: Minimum 5+ years in a Data Science role specifically within Financial Services (BFSI).
  • Core Stack: Expert proficiency in Python, SQL, and Machine Learning frameworks (XGBoost, Scikit-learn, PyTorch/TensorFlow).
  • Statistical Depth: Strong foundation in predictive modeling, time-series forecasting, and regression analysis.
  • Cloud and Visualization: Hands-on experience with Azure/AWS and data viz tools like Power BI or Tableau.
  • Education-Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

Skills

ML, machine learning, python, sql

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