🏢 Company Overview:
Axtria – Ingenious Insights is a global leader in cloud software and data analytics, serving the life sciences and healthcare industries. Axtria helps clients transform their commercial operations through advanced data-driven decision-making, artificial intelligence, and analytics solutions. The company’s innovative platforms and expert teams empower businesses to optimize performance, enhance customer engagement, and accelerate growth.
💼 Job Details:
- Employment type: Full Time
 - Experience: 8 to 10 Years
 - Salary: 9L to 13L Yearly
 - Location: Remote
 - Work timing: 8:45 AM to 5:45 PM
 - Working Days: 5 Days
 - Education: Any Degree
 
📝 Job Description:
Axtria is seeking an experienced Project Leader – Data Science to lead a team of data scientists, analysts, and engineers in developing advanced analytics solutions. The ideal candidate will have a strong background in machine learning, statistical modeling, and data management, along with leadership skills to manage large-scale projects and client engagements. You will work closely with stakeholders to define project goals, deliver insights, and drive strategic decision-making using data-driven methodologies.
🔑 Key Responsibilities:
- Lead the end-to-end design, development, and deployment of data science projects
 - Manage a team of data scientists, analysts, and technical staff
 - Collaborate with business stakeholders to identify analytics opportunities and define project scope
 - Develop predictive and prescriptive models using statistical, ML, and AI techniques
 - Oversee data collection, cleaning, transformation, and feature engineering processes
 - Communicate technical findings to non-technical stakeholders in a clear, actionable manner
 - Ensure projects are delivered on time, within scope, and with high quality
 - Stay updated on emerging technologies, tools, and best practices in data science
 
🛠️ Required Skills & Qualifications:
- Master’s or Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
 - Proven experience leading data science teams and delivering analytics projects
 - Strong proficiency in Python, R, SQL, and ML frameworks (e.g., TensorFlow, Scikit-learn, PyTorch)
 - Solid understanding of machine learning algorithms, statistical methods, and data visualization
 - Experience with cloud platforms (AWS, Azure, or GCP)
 - Excellent problem-solving, communication, and stakeholder management skills
 - Ability to balance technical depth with business strategy
 
🌟 Benefits:
- Work with cutting-edge technologies and industry-leading experts
 - Leadership opportunity in a globally recognized analytics company
 - Collaborative, innovation-driven environment
 - Career advancement and continuous learning opportunities
 
									 
					