About Intellismith Intellismith, founded in 2019, is a dynamic HR service and technology startup. Our mission is to tackle India's employability challenges head-on. Currently, we operate two key lines of business: recruiting and outsourcing. With teams based in Noida, Chennai, Mumbai, and Bangalore, we collaborate with top brands in the BFSI and IT sectors. As we chart our growth trajectory, we're transitioning from a service-centric model to a product-focused company. Our journey involves building a cutting-edge skilling platform to empower Indian youth with domain-specific training, making them job-ready for the competitive market. Why Join Intellismith Impactful Mission: Be part of a forward-thinking organisation committed to solving employability challenges. Your work directly contributes to bridging the skills gap and transforming lives. Innovation and Growth: Contribute to our exciting transition from services to products. Shape the future of our skilling platform and impact Indian youth positively. Collaborative Environment: Work alongside talented professionals across multiple locations. Our diverse teams foster creativity and learning. Entrepreneurial Spirit: Intellismith encourages fresh ideas and entrepreneurial thinking. Your voice matters here. As an outsourcing partners, we are hiring Data Scientists to work on a project for our client, which is the largest provider of telecoms and mobile money services in 14 countries spanning Sub-Saharan, Central, and Western Africa. Job Details Experience required- 3+ years for experience in Data science CTC Bracket - As per best in the market Qualification- BE/B.Tech/ Graduation in computer stream. Location- Gurugram (WFO) Notice Period: Immediate to 15 days (Candidates with notice period of more than 30 days are not preferred) Mandatory Skills: Python, SQL , Data modeling Required Tech Skills Utilize SQL to extract, manipulate, and analyze data from various sources to derive meaningful insights. Develop and implement machine learning algorithms and predictive models using Python. Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. Perform exploratory data analysis to identify trends, patterns, and anomalies. Build data visualizations and dashboards to communicate findings to stakeholders effectively. Continuously optimize and improve existing models to enhance predictive accuracy and efficiency. Stay updated with the latest developments in data science and machine learning techniques.