FAQs
What locations are available for this position?
The position is available in München, Berlin, Köln, Düsseldorf, Hamburg, Frankfurt, Zürich, and Vienna.
What kind of team structure will I be working in?
You will be part of a rapidly growing team within BCG X that includes data scientists, engineers, and designers, and you will be managing a team of data scientists and engineers.
Is experience in the insurance sector required for this role?
Yes, significant experience in the insurance sector or an insurtech startup providing advanced analytics solutions is required.
What educational qualifications are needed for this position?
An advanced degree in a field linked to business analytics, statistics, geo-statistics, operations research, geography, applied mathematics, computer science, engineering, or a related field is required.
What key skills are essential for this Lead Data Scientist role?
Key skills include deep technical expertise in data science, strong project management abilities, strategic and analytical skills, fluency in at least one coding language (preferably Python), and the ability to lead and persuade.
Will I need to interact with clients?
Yes, the role is client-facing, requiring you to manage engagements, client relationships, and provide thought leadership to teams.
What types of projects will I work on?
You will work on developing and delivering innovative analytics solutions and products in the insurance sector, focusing on leveraging advanced analytics to drive business impact.
What are the opportunities for professional growth in this position?
As a core member of BCG X, you will have the chance to shape the strategy of BCG X and BCG overall, drive business development, and deliver thought leadership.
What is the preferred coding language for this role?
Fluency in Python is mandatory, and proficiency in additional coding languages will be a plus.
Does BCG offer equal employment opportunities?
Yes, Boston Consulting Group is an Equal Opportunity Employer and considers all qualified applicants without regard to various protected characteristics.