• Conduct predictive analysis to identify trends, patterns, and insights from large data sets.
• Develop and implement machine learning models and algorithms for predictive analytics.
• Collaborate with cross-functional teams to integrate data-driven solutions into business processes.
• Utilize statistical methods to analyze and interpret complex data sets.
• Communicate findings and insights to stakeholders through data visualization and storytelling.
• Stay updated with the latest advancements in artificial intelligence and predictive analytics.

Experience:

5-7 years of experience in the development & deployment of enterprise level Data Science & AI Solutions.

Education Qualification:

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.

Certification Required:

Professional certifications in Data Science, Machine Learning, or Predictive Analytics are preferred.

Behavioural Skills:

• Analytical mindset with a keen attention to detail.
• Strong problem-solving and critical thinking abilities.
• Excellent communication and collaboration skills.
• Ability to thrive in a fast-paced and dynamic work environment.

Technical Skills:

• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks & deployment tools such as Kubernetes, Docker & Containers etc.
• Advanced knowledge of statistical analysis and data modeling techniques.
• Expertise in data visualization tools such as Tableau, Power BI, or Matplotlib.
• Familiarity with big data platforms like Hadoop, Spark, or Apache Flink.