About the job:
Job Description:
- We are seeking a highly skilled and analytical Data Scientist to join our team.
- The ideal candidate will possess a strong foundation in mathematics, statistics, and computer science, with proficiency in programming and data analysis.
- This role involves extracting actionable insights from complex datasets to inform strategic business decisions.
Key Responsibilities:
- Data Collection & Preparation: Identify, acquire, and preprocess structured and unstructured data from various sources to ensure data quality and integrity.
- Data Analysis & Modeling: Employ statistical methods and machine learning algorithms to analyze large datasets, uncover trends, and develop predictive models that address business challenges.
- Data Visualization: Utilize data visualization tools to present complex findings in an accessible and actionable manner to stakeholders.
- Collaboration: Work closely with cross-functional teams, including engineering, product development, and business units, to align data-driven insights with organizational objectives.
- Continuous Learning: Stay abreast of the latest developments in data science, machine learning, and related technologies to ensure the application of cutting-edge techniques.
Technical Skills:
- Proficiency in programming languages such as Python and SQL.
- Experience with machine learning frameworks and libraries.
- Hands-on experience with model development (Random Forest, XGBoost).
- Domain expertise in Banking, Payments, or Fraud detection.
Required Education & Experience:
Education: Bachelor's / master's degree in a field such as Engineering, Computer Science, or a related technical field.
Experience: 6 - 9 years of relevant experience
Recognition & Achievements:
- We have been recognized as a Star Performer in Data & AI Services Specialists - Everest's North America PEAK Matrix 2025, and as a Leader in AIM's Pema Quadrant of Agentic AI Service Providers - 2025.
- In Nov 2023, Straive acquired Gramener, an award-winning, design-led data science company, enhancing our data, analytics, and AI capabilities.
- In June 2025, we acquired SG Analytics, a leading provider of AI-powered insights and contextual analytics services.
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