Description

About Altimetrik Altimetrik is a global digital business enablement company focused on unlocking growth and opportunity with end-to-end digital transformation. Our data science and AI teams help businesses build smarter, data-driven strategies that shape the future of innovation. We are looking for a passionate and analytical Data Science Engineer to join our team and contribute to building advanced AI solutions that drive measurable business impact. Position Summary As an Engineer – Data Science, you will work within our consulting and analytics domain to design, develop, and deploy AI-driven solutions. You’ll collaborate with cross-functional teams, apply machine learning techniques, and help translate complex data into meaningful business insights. This role is ideal for early-career professionals (0–2 years) who have a strong academic foundation in AI, ML, and Data Science and are ready to grow in a fast-paced, collaborative environment. Key Responsibilities Collaborate with cross-functional teams to gather and understand data requirements and project goals. Apply data science and AI techniques to analyze and interpret complex datasets, enabling data-driven decision-making. Perform data preprocessing, feature selection, and model building for predictive and analytical tasks. Utilize graph analysis tools (RAG, LangGraph) to represent and manage complex data relationships. Design, test, and deploy AI models and algorithms to optimize operational efficiency and business insights. Research and stay current with emerging trends and technologies in AI, machine learning, and data science. Document methodologies, processes, and findings for internal knowledge sharing. Communicate technical findings clearly to both technical and non-technical stakeholders. Required Qualifications Education: Master’s in Data Science, or Bachelor’s in Computer Science, Artificial Intelligence, or Machine Learning specialization. Experience: 0–2 years of experience in data science, machine learning, or AI application development. Technical Skills Strong proficiency in Python for data analysis and model development. Foundational understanding of machine learning workflows, feature engineering, and model evaluation. Hands-on experience or familiarity with RAG (Retrieval-Augmented Generation) and LangGraph for data representation and language processing. Knowledge of AI principles, algorithms, and deployment frameworks. Ability to interpret and visualize data insights effectively. Preferred Certifications IBM Data Science Professional Certificate Microsoft Certified: Azure Data Scientist Associate (Preferred but not mandatory) Soft Skills Strong analytical and problem-solving skills. Excellent communication and collaboration abilities. Curiosity to learn and adapt in a dynamic, tech-driven environment. Ability to work on multiple projects with attention to detail and timelines. Why Join Altimetrik? Be part of a global organization driving real-world impact through AI and data innovation. Work with cutting-edge tools and technologies in a growth-oriented environment. Gain mentorship and exposure to industry-leading digital transformation projects. Build a strong foundation for a successful career in Data Science & AI.

Role and Responsibilities

• Collaborate with cross-functional teams to gather and understand data requirements and project goals. Apply data science and AI techniques to analyze and interpret complex datasets, enabling data-driven decision-making. Perform data preprocessing, feature selection, and model building for predictive and analytical tasks. Utilize graph analysis tools (RAG, LangGraph) to represent and manage complex data relationships. Design, test, and deploy AI models and algorithms to optimize operational efficiency and business insights. Research and stay current with emerging trends and technologies in AI, machine learning, and data science. Document methodologies, processes, and findings for internal knowledge sharing. Communicate technical findings clearly to both technical and non-technical stakeholders.