<p><strong>What role you will play in team:</strong>  Support senior data scientists in building and implementing machine learning models for insurance.</p><p><strong>What you will do:</strong>  You'll assist in data cleaning, feature engineering, and model evaluation.</p><p><strong>Key responsibility:</strong><ul><li>Data cleaning and preprocessing.</li><li>Feature engineering and selection.</li><li>Building and evaluating machine learning models.</li><li>Data visualization and reporting.</li><li>Collaborating with senior data scientists.</li><li>Keeping up with the latest advancements in machine learning.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Bachelor's or Master's degree in Computer Science, Statistics, or a related field.</li><li>Knowledge of Python and machine learning libraries (scikit-learn, TensorFlow, PyTorch).</li><li>Experience with data manipulation tools (Pandas, NumPy).</li><li>Strong analytical and problem-solving skills.</li><li>Ability to work independently and as part of a team.</li><li>Experience with cloud computing platforms (AWS, Azure, GCP) is a plus.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and benefits.</li><li>Opportunities for learning and development.</li><li>Work in a fast-paced and dynamic environment.</li><li>Health insurance and other employee benefits.</li><li>Mentorship opportunities from senior data scientists.</li></ul></p><p><strong>A Day in the Life:</strong> You'll start your day with team meetings, then focus on specific tasks for ongoing projects, such as cleaning data, building models or conducting experiments.</p>