Data Scientist, India - BCG X

Key Skills

Aartificial intelligence, Apache Airflow, AWS, Azure, Data science techniques, Databricks, Django, Flask, Google Cloud Platform (GCP), Large Language Models - LLMs, Machine learning techniques

Job Description

We’re a diverse team of more than 3,000 tech experts united by a drive to make a difference. Working across industries and disciplines, we combine our experience and expertise to tackle the biggest challenges faced by society today. We go beyond what was once thought possible, creating new and innovative solutions to the world’s most complex problems. Leveraging BCG’s global network and partnerships with leading organizations, BCG X provides a stable ecosystem for talent to build game-changing businesses, products, and services from the ground up, all while growing their career. Together, we strive to create solutions that will positively impact the lives of millions.

What You'll Do

As a Data Scientist at BCG, you will collaborate on challenging projects to increasing your understanding of complex business problems from diverse perspectives and developing new skills and experience to help you at every stage of your career. You will use data and advanced analytics to uncover innovative insights that create lasting impact for BCG and its clients. 

Key Competencies

• Applying advanced analytics and AI/ML techniques to solve complex business problems and create value for BCG clients.

• Conceptualizing business problems and drive frameworks.

• Managing engagements, client relationships, and display initiative to effectively drive solutions to client problems.

• Communicating effectively and professionally with clients, delivering impactful solutions and presenting insights coherently.

• Collaborating to work in cross-functional teams with diverse backgrounds and perspectives

What You'll Bring

• A master’s degree or PhD in computer science, data science, mathematics, statistics, engineering, or a related field

• 1-3 years of relevant work experience in data science, machine learning, artificial intelligence, or big data

• Proficiency in Python, R, SQL, and other programming languages and tools for data analysis and machine learning

• Experience in designing, developing, and deploying scalable and robust data products using cloud platforms such as AWS, Azure, or Google Cloud

• Experience in using machine learning techniques such as regression, classification, clustering, natural language processing, computer vision, etc.

• Familiarity with industry-specific skills such as retail analytics, healthcare analytics, financial analytics, etc.