Jr. Data Analyst

Job Title: Junior Data Analytics

About Us

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by . With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.

WHY JOIN CAPCO

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Description Role Data Analyst

Requirements:

• Educational Background: A degree in Computer Science, Data Science, Statistics, or a related field.
• Experience: Proven experience in developing and deploying AI/ML models in a business environment.
• Technical Skills: Proficiency in programming languages such as Python or R, and experience with AI/ML frameworks like TensorFlow or PyTorch.
• Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data.
• Communication Skills: Excellent verbal and written communication skills to effectively convey technical information to non-technical stakeholders.
• Attention to Detail: High level of accuracy and attention to detail in data analysis and model development.