Data Scientist

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: Bachelors degree in a field such as Engineering, Computer Science, or a related technical field.
• Experience: 3 to 5 years of relevant experience

Recognition & Achievements

• We have been recognized as a Star Performer in Data & AI Services Specialists - Everests North America PEAK Matrix 2025, and as a Leader in AIMs 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.