We are seeking a skilled and visionary Data Scientist to join our team, driving data-driven insights and transformative AI/ML solutions. In this role, you will analyze and interpret complex data to uncover valuable patterns, solve intricate business challenges, and create predictive models that deliver measurable impact. Leveraging cutting-edge AI tools, machine learning, and deep learning techniques, you will design, develop, and deploy scalable applications on cloud infrastructure. Beyond technical expertise, you will collaborate closely with clients and cross-functional teams to align AI solutions with strategic business objectives, ensuring that data-driven insights translate into actionable recommendations. If you are passionate about harnessing the power of data to shape innovative solutions and possess strong consulting capabilities, we invite you to join our dynamic and collaborative environment.
As a Junior Data Scientist, you will support the development of data-driven solutions that help solve real business problems. You will work with structured and unstructured data, and assist in building predictive models and AI applications using machine learning techniques. This role offers hands-on experience with cloud platforms, AI tools, and data analytics in a collaborative and agile work environment.
Your Responsibilities Will Include:
Assist in designing and developing machine learning models and AI solutions under the guidance of senior team members
Prepare, clean, and analyze datasets from various sources to identify patterns and generate insights
Support the implementation and testing of AI/ML models using Python and libraries such as scikit-learn, TensorFlow, or PyTorch
Contribute to the deployment of AI models into production environments using cloud infrastructure (e.g., AWS, Azure, GCP)
Collaborate with cross-functional teams including engineers, consultants, and business stakeholders to align solutions with business needs
Document processes and help communicate data findings in a clear and structured manner
Basic understanding of machine learning concepts and hands-on experience with Python
Familiarity with data analysis tools and techniques, and experience working with databases
Exposure to cloud platforms or willingness to learn (e.g., IBM Cloud, AWS, Azure, or GCP)
Strong analytical thinking and eagerness to learn and grow in a team-based environment
Good communication skills and ability to explain technical ideas to non-technical audiences
Hiring manager and Recruiter should collaborate to create the relevant verbiage.