<p><strong>What role you will play in team:</strong> You will be a key member of our data science team, contributing to the development and implementation of innovative solutions for our clients.  You'll collaborate with experienced professionals, learning and growing within a supportive environment. </p><p><strong>What you will do:</strong> You will be involved in all stages of the data science lifecycle, from data collection and cleaning to model building and deployment.  You'll work on a variety of projects, gaining experience in different industries and techniques.</p><p><strong>Key responsibility:</strong><ul><li>Collect, clean, and pre-process large datasets.</li><li>Develop and implement machine learning models to solve business problems.</li><li>Communicate findings and insights to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers to build and deploy data science solutions.</li><li>Stay up-to-date with the latest advances in data science and machine learning.</li><li>Contribute to the development of innovative data science solutions.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's degree in Statistics, Mathematics, Computer Science, or a related field.</li><li>Proficiency in Python or R.</li><li>Experience with machine learning algorithms (regression, classification, clustering).</li><li>Experience with data visualization tools (e.g., Tableau, Power BI).</li><li>Excellent communication and presentation skills.</li><li>Strong problem-solving skills and analytical abilities.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and growth.</li><li>Collaborative and supportive work environment.</li><li>Flexible work arrangements.</li><li>Opportunities to work on challenging and rewarding projects.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start your day with a team meeting to discuss project updates.  Then, you'll focus on building and testing machine learning models.  After lunch, you'll collaborate with colleagues to refine your models and present your findings.</p>