Role & responsibilities Identify and engage with potential clients in Defence, DPSUs, Automotive, Telecom, Aerospace, and Electronics industries. Drive sales and business development activities by presenting technical solutions to key stakeholders and decision-makers. Manage end-to-end sales cycles from lead generation to closure, ensuring timely follow-ups and customer satisfaction. Develop and maintain strong relationships with existing clients, ensuring repeat business and customer retention. Collaborate with internal teams for proposal development, pricing, and delivery planning. Track market trends, competitor activities, and industry developments to provide strategic input. Prepare and present technical and commercial proposals in a clear and compelling manner. Travel to client locations for Sales Pitches, Technical discussions & Presentations, Negotiations Preferred candidate profile Indian Armed Forces family

We are looking for an experienced Senior Data Scientist to join our analytics team and lead high-impact projects. This role requires a deep understanding of statistical analysis, machine learning, and data-driven strategy, with a focus on developing and delivering innovative analytics solutions to meet complex business needs. The ideal candidate will have extensive hands-on experience, strong technical skills, and proven leadership capabilities to guide a team of data scientists and machine learning engineers. Key Responsibilities: Statistical Analysis & Use Case Identification: Utilize advanced statistical techniques to analyze large datasets, uncovering trends and patterns that support data-driven decision-making. Identify and define use cases to support business strategies, using insights from data to generate value and guide strategic direction. Data Analytics Maturity Assessment: Assess the organizations data analytics maturity, utilizing descriptive data analysis to evaluate current capabilities. Develop and propose use cases for advanced analytics, including diagnostic, predictive, and prescriptive models to enhance data utilization. Technical Expertise: Apply hands-on expertise in Python and data science, employing a variety of machine learning algorithms for tasks like regression, classification, natural language processing (NLP), and operational research. Implement, optimize, and maintain complex models, ensuring they are scalable and effective. Advanced Machine Learning: Leverage experience with large language models (LLMs) and Retrieval-Augmented Generation (RAG) models to build sophisticated applications, including chatbots and other NLP-based solutions. Communication & Presentation: Demonstrate excellent communication skills to convey complex analytics insights to stakeholders. Lead customer meetings, presenting analytical findings and recommending actionable, data-driven solutions. Solution Development: Develop solutions aligned with business objectives by translating business requirements into impactful, data-driven solutions. Foster a solution-oriented mindset within the team, focusing on delivering analytics solutions that enhance decision-making and drive value. Team Management: Lead a team of data scientists and machine learning engineers, providing mentorship, technical guidance, and project oversight. Ensure alignment of team projects with business goals, maintaining a focus on quality and timely delivery. Experience: At least 5-7 years of hands-on experience in data science, machine learning, and statistical analysis. Proven track record in managing and mentoring a team of data scientists and engineers. Extensive experience with Python and essential libraries (e.g., Pandas, NumPy, Scikit-Learn, TensorFlow, PyTorch). Skills: Strong knowledge of machine learning techniques, including regression, classification, NLP, and operational research. Experience with deep learning, LLMs, and RAG models for advanced applications like chatbot development is highly desirable. Exceptional problem-solving skills, with an emphasis on delivering actionable business insights. Excellent communication, presentation, and interpersonal skills. Ability to work both independently and collaboratively in a fast-paced, dynamic environment.

We are looking for a skilled Sr. Data Scientist with 6 to 8 years of experience to join our team at Xcaliber Infotech Pvt Ltd, playing a crucial role in driving business growth through data-driven insights. Roles and Responsibility Develop and implement advanced data models and algorithms to solve complex problems. Collaborate with cross-functional teams to design and deploy predictive analytics solutions. Work closely with stakeholders to identify business needs and develop tailored data science solutions. Design and implement data pipelines and architectures to support business intelligence initiatives. Conduct thorough analysis of large datasets to extract valuable insights and trends. Communicate complex technical concepts to non-technical stakeholders through clear and concise reports. Job Requirements Strong proficiency in programming languages such as Python or R. Experience with machine learning frameworks like TensorFlow or PyTorch. Excellent understanding of statistical concepts and data modeling techniques. Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a team environment and communicate effectively with stakeholders. Experience with data visualization tools like Tableau or Power BI is a plus.