Lead – Data Scientist / Analytics

at Sutherland
Published December 5, 2022
Location Hyderabad, India
Category Data Science  
Job Type Full-time  


Job Description:

Sutherland is seeking an attentive and analytical person to join us as Professional - Data Analyst to be responsible for creating and implement RPA projects. We are a group of dynamic and driven individuals. If you are looking to build a fulfilling career and are confident you have the skills and experience to help us succeed, we want to work with you! Robotic process automation (RPA) is the application of technology allowing employees in a company to configure computer software or a robot to capture and interpret existing applications for processing a transaction, manipulating data, triggering responses and communicating with other digital systems. In other words, it involves automating certain tasks or processes that manipulate data. It is a form of automation where intelligent software processes take over certain tasks that have typically been performed by human beings. Data Analyst in this role get to: Analyze business processes: Identify automation opportunities, an


Our most successful candidates will have:  - Be attentive to details - Be able to work in a fast-paced environment - Have good working knowledge in MS Office applications - Be able to adjust quickly and smoothly to changing priorities and conditions - Have ability to interpret data, identify trends, and make suggestions for improvements - Have strong analytical skills., be able to interpret data, identify trends, and make suggestions for improvements - Be pro-active in developing trust and professional rapport with employees and team members., work as a team-player - Have strong verbal and written communication skills., be able to communicate in a clear, constructive, and professional manner - Analytical and Statistical skill - Video Editing and Web designing - Python - Minimum of 2 to 4 years of Implementation and innovation experience - Any graduation or a related technical field Optional: - .Net, SQL, API call - ML, Data Mining & Auditing