Data Science Intern

<h1 class="text-heading-large">About the job</h1> <div class="mt4">We are seeking a talented and driven Data Science Intern/Machine Learning Engineer with a passion for developing models in the Climate space. The ideal candidate will have a strong background in machine learning, data science, and meteorology, with the ability to create and deploy advanced predictive models to enhance prediction capabilities. You will work closely with a team of scientists, engineers, and data analysts to integrate data into robust, high-performance forecasting systems. The successful candidate will have a keen eye for detail, strong problem-solving skills, and the ability to work independently or as part of a team.</div> <h2 class="mt4"> <strong>The Main Responsibilities Will Be</strong></h2> <p class="mt4"><strong><br /> The Data Science Intern role has the following responsibilities:<br /> </strong></p> <ul> <li>Design and implement machine learning models</li> <li>Analyze large datasets from various sources, including satellite, radar, and IoT sensors, to identify trends and patterns.</li> <li>Extract and refine relevant features from raw data to improve the performance of our prediction models.</li> <li>Deploy models into production environments and ensure their performance and scalability.</li> <li>Work closely with Engineers, scientists and data analysts to understand the domain-specific requirements and improve the forecasting models.</li> <li>Test and validate models using various statistical methods to ensure their reliability and accuracy.</li> <li>Monitor model performance and update them based on new data and technological advancements.</li> </ul> <h2 class="mt4"><strong>Requirements</strong></h2> <p class="mt4"><strong></p> <p></strong></p> <ul> <li>Bachelor’s degree in Computer Science, Data Science or a related field.</li> <li>Proficiency in machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.</li> <li>Strong programming skills in Python, R, or a similar language.</li> <li>Experience with big data tools and platforms like Hadoop, Spark, or similar.</li> <li>Knowledge of data preprocessing and feature engineering techniques.</li> <li>Domain Knowledge: Understanding of climate data principles and familiarity with., satellite imagery, radar data</li> <li>Strong analytical and problem-solving skills with the ability to interpret complex data sets.</li> <li>Experience in developing, validating, and deploying machine learning models, particularly for time series data.</li> <li>Familiarity with GIS Development Software and Maps such as GIS software, ArcGIS, OpemMaps, Leaflets or similar.</li> <li>Excellent verbal and written communication skills to effectively collaborate with team members and present findings.</li> <li>Experience with cloud platforms (AWS, Google Cloud, or Azure) and data visualization tools (Tableau, Power BI) is a plus.</li> </ul> <p>Are you looking to sharpen your Software Development skills to stay relevant in the market? <a href="https://codingkenya.com/2021/03/5-top-coding-schools-in-kenya/"><strong>CLICK</strong> </a><strong>HERE </strong>to have a look at the top schools.</p> <p>For all your IT certification needs, please,<a href="https://www.comptia.org/certifications/which-certification" target="_blank" rel="noopener noreferrer"><strong> click here for information on how to get started</strong></a></p>