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About Us Straive (formerly SPi Global) is a global leader in AI-driven value creation, business transformation, and Global Capability Center (GCC) delivery empowering private-equity portfolio companies, mid-market firms, and enterprises with scalable, technology-enabled execution. We operationalize Data Analytics and AI for global enterprises, working with several Fortune 500 companies. We serve clients across industries, including Banking, Financial and Information Services, Retail, Media and Technology, EdTech, Science and Research, Logistics and Supply Chain, and Pharma & Life Sciences. Our strategically placed team of 20,000 employees operates in nine countries: the Philippines, India, the United States, Nicaragua, Vietnam, the United Kingdom, Singapore, South Africa, and Canada. We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate with expertise in machine learning algorithms, data modeling, and cloud deployment on AWS . 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 unstructure ddata from various sources to ensure data quality and integrity . Data Analysis & Modeling: Employ statistical methods and machine learning algorithms t oanalyze large datasets, uncover trends, and develop predictive models that address busines schallenges . AWS Cloud Deployment: Implement ML pipelines using AWS services (SageMake r,Lambda, S3, EC2, Redshift ). Data Visualization: Utilize data visualization tools to present complex findings in anaccessible and actionable manner to stakeholder s. Collaboration: Work closely with cross-functional teams, including engineering, produ ctdevelopment, and business units, to align data-driven insights with organizational objective s. Continuous Learning: Stay abreast of the latest developments in data science, machi nelearning, and related technologies to ensure the application of cutting-edge technique s.Key Tech Stack & Skil lsTechnical Skil ls Proficiency in programming languages such as Python and SQ L. Experience with machine learning frameworks and cloud-based deployment s. Hands-on experience with model development (Random Forest, XGBoost ). Domain expertise in Banking, Payments, or Fraud detectio n.Required Education & Experien ce Education: Bachelors degree in a field such as Engineering, Computer Science, or a relat edtechnical fiel d. Experience: 3 to 5 years of relevant experien ceRecognition & Achievemen ts We have been recognized as a Star Performer in Data & AI Services Specialists - Everest sNorth America PEAK Matrix 2025, and as a Leader in AIMs Pema Quadrant of Agentic AIService Providers - 202 5. In Nov 2023, Straive acquired Gramener, an award-winning, design-led data scien cecompany, enhancing our data, analytics, and AI capabilities. In June 2025, we acquired SGAnalytics, a leading provider of AI-powered insights and contextual analytics service s. For more information, please visit our Website Case Studies [in] Linke dIn About Us Straive (formerly SPi Global) is a global leader in AI-driven value creation, business transformation, and Global Capability Center (GCC) delivery empowering private-equity portfolio companies, mid-market firms, and enterprises with scalable, technology-enabled execution. We operationalize Data Analytics and AI for global enterprises, working with several Fortune 500 companies. We serve clients across industries, including Banking, Financial and Information Services, Retail, Media and Technology, EdTech, Science and Research, Logistics and Supply Chain, and Pharma & Life Sciences. Our strategically placed team of 20,000 employees operates in nine countries: the Philippines, India, the United States, Nicaragua, Vietnam, the United Kingdom, Singapore, South Africa, and Canada. We are seeking a highly skilled and analytical Data Scientist to join our team. The ideal candidate with expertise in machine learning algorithms, data modeling, and cloud deployment on AWS . 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 unstructure ddata from various sources to ensure data quality and integrity . Data Analysis & Modeling: Employ statistical methods and machine learning algorithms t oanalyze large datasets, uncover trends, and develop predictive models that address busines schallenges . AWS Cloud Deployment: Implement ML pipelines using AWS services (SageMake r,Lambda, S3, EC2, Redshift ). Data Visualization: Utilize data visualization tools to present complex findings in anaccessible and actionable manner to stakeholder s. Collaboration: Work closely with cross-functional teams, including engineering, produ c
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