<p><b>What role you will play in team:</b> You will work as part of a dynamic team of data scientists to develop innovative solutions for our clients. You'll contribute to the full data science lifecycle, from data exploration to model deployment.</p><p><b>What you will do:</b> You'll be using your expertise in statistical modeling, machine learning, and data visualization to extract actionable insights from complex datasets.</p><p><b>Key responsibility:</b><ul><li>Perform exploratory data analysis (EDA) to understand data characteristics.</li><li>Develop and implement statistical models and machine learning algorithms.</li><li>Evaluate model performance and make improvements as needed.</li><li>Communicate findings and recommendations to both technical and non-technical audiences.</li><li>Collaborate with other data scientists and engineers to develop and deploy data-driven solutions.</li><li>Maintain and update existing models and data pipelines.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Bachelor's or Master's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science).</li><li>Strong programming skills in Python or R.</li><li>Experience with various machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data visualization tools (e.g., Matplotlib, Seaborn, Tableau).</li><li>Strong problem-solving and analytical skills.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for continuous learning and development.</li><li>A collaborative and supportive work environment.</li><li>Flexible working arrangements.</li><li>Work on challenging and rewarding projects.</li></ul></p><p><b>A Day in the Life:</b>  You'll spend your day analyzing data, building models, conducting experiments, and collaborating with team members to deliver impactful results.</p>