Data Science Intern

Data Science Intern About Arkham Arkham is a Data & AI Platform—a suite of powerful tools designed to help you unify your data and use the best Machine Learning and Generative AI models to solve your most complex operational challenges. Today, industry leaders like Circle K, Mexico Infrastructure Partners, and Televisa Editorial rely on our platform to simplify access to data and insights, automate complex processes, and optimize operations. With our platform and implementation service, our customers can unlock the full potential of their data and AI capabilities. As a Data Science Intern at Arkham, you will be part of a dynamic team that is shaping the future of data-driven decision-making. Your responsibilities will include: • Assisting in the development of data-driven solutions for our customers • Collaborating with cross-functional teams to design and implement data science projects • Analyzing and interpreting complex data sets to identify trends and insights • Developing and maintaining data visualizations and reports • Participating in the design and implementation of data science experiments and prototypes • Staying up-to-date with the latest advancements in data science and AI technologies • Participating in the development of data science and AI-related content for our customers and partners. As a Data Science Intern at Arkham, you will have the opportunity to work on a wide range of projects and collaborate with a talented team of data scientists, engineers, and industry experts. You will also have access to our comprehensive training and development program, which includes courses, workshops, and mentorship from experienced professionals. If you are passionate about data science and AI, and want to be part of a team that is shaping the future of data-driven decision-making, we encourage you to apply for this exciting opportunity. Requirements: • Bachelor's degree in Computer Science, Data Science, or a related field • Strong programming skills in Python, R, or SQL • Experience with data visualization tools such as Tableau, Power BI, or D3.js • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Strong analytical and problem-solving skills • Excellent communication and collaboration skills • Ability to work in a fast-paced environment and adapt to changing priorities • Strong passion for data science and AI. Benefits: • Competitive salary and benefits package • Opportunity to work on a wide range of projects and collaborate with a talented team of data scientists, engineers, and industry experts • Access to our comprehensive training and development program, which includes courses, workshops, and mentorship from experienced professionals • Flexible work arrangements, including remote work options • Opportunities for professional growth and development • A dynamic and supportive work environment.