Description

About HBIC Solutions HBIC Solutions specializes in delivering intelligent, data-driven solutions across domains such as IoT, healthcare, business, and industrial sectors. The company focuses on end-to-end problem solving through high-end technology, efficient processes, and value-driven communication, helping clients achieve measurable outcomes through advanced data science applications. Job Summary HBIC Solutions is looking for a motivated Data Scientist to design, develop, and implement AI and data science solutions based on client requirements. The role involves working closely with cross-functional teams to build algorithms, analyze data, and develop deep learning models across domains such as IoT, healthcare, and industrial applications. Key Responsibilities Data Analysis & Modeling Collect, process, analyze, and interpret data from client-provided and external sources Develop algorithms and analytical models using Python-based libraries and frameworks Generate reports and insights aligned with business and client requirements AI & Deep Learning Design and implement AI and deep learning frameworks based on defined hypotheses Create structured data frames and analyze testing and validation criteria Build and customize algorithms using existing Python packages Collaboration & Communication Work efficiently with internal teams to design solutions aligned with project goals Communicate complex technical concepts clearly to subject matter experts and stakeholders Contribute to end-to-end solution development with a strong team-oriented approach Documentation & Quality Prepare technical documentation for developed algorithms and solutions Support testing, validation, and performance evaluation of AI/ML models Required Qualifications Bachelor’s or Master’s degree in any discipline (UG/PG) 0–2 years of professional experience in AI, Data Science, or Machine Learning Strong analytical and problem-solving skills Technical Skills Programming: Python Core Skills: Data Science, Artificial Intelligence, Deep Learning Data Handling: Data collection, preprocessing, analysis, and reporting Modeling: Algorithm development, hypothesis testing, model evaluation Documentation: Technical and analytical documentation Behavioral Skills Excellent verbal and written communication skills Ability to collaborate across teams and explain complex problems simply Strong attention to detail and structured thinking Willingness to learn and adapt to new technologies Key Skills Data Science • Artificial Intelligence • Deep Learning • Python • Data Analytics • Data Collection • Algorithm Development • Testing • Technical Documentation

Role and Responsibilities

• Key Responsibilities Data Analysis & Modeling Collect, process, analyze, and interpret data from client-provided and external sources Develop algorithms and analytical models using Python-based libraries and frameworks Generate reports and insights aligned with business and client requirements AI & Deep Learning Design and implement AI and deep learning frameworks based on defined hypotheses Create structured data frames and analyze testing and validation criteria Build and customize algorithms using existing Python packages Collaboration & Communication Work efficiently with internal teams to design solutions aligned with project goals Communicate complex technical concepts clearly to subject matter experts and stakeholders Contribute to end-to-end solution development with a strong team-oriented approach Documentation & Quality Prepare technical documentation for developed algorithms and solutions Support testing, validation, and performance evaluation of AI/ML models