Data Scientist - FinLab
$112.9k - $116.5kMcKinsey & Company
Job ID: 100421
- Atlanta
- Boston
- Chicago
- Dallas
- New York City
- San Francisco
- Seattle
- Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
- A voice that matters: From day one, we value your ideas and contributions. You'll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
- Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm's diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you'll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
- World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
- Bachelor's or advanced professional degree in engineering, computer science, statistics, or data science; master's degree is a plus with less than 2 years of work experience
- 3+ years of professional experience as a data analyst or data scientist
- Skilled in coding languages (e.g., SQL, Python, R), visualization/BI tools (e.g., Tableau, PowerBI) and modeling (e.g., regression, forecasting, decision trees)
- Experience with data engineering practices including ETL pipelines, orchestration tools such as Airflow, and big data platforms like Databricks; hands-on experience with data modelling techniques (e.g., 3NF, data vault, etc.), ability to work with both structured and unstructured data
- Experience with, or a strong desire to master, modern AI development frameworks like Langchain for orchestrating autonomous workflows, platforms like Amazon Bedrock for leveraging foundation models, and libraries like PydanticAI for ensuring structured, reliable data outputs.
- Consulting experience preferred especially within financial services space
- Comfortable working with Git, CI/CD tools, and modern development workflows
- Familiarity with Azure cloud services; experience with Kubernetes, Docker, and distributed computing frameworks is a plus
- Highly inquisitive and creative problem-solver to help colleagues and clients draw new insights and impact out of data; excited about working in a cross-cultural environment
- Entrepreneurial mindset and self-starter to step into a fast-paced and dynamic environment and ready to build a strong network across the practice
- Professional attitude, team player and service-oriented mentality
- Expertise in communicating analytical and technical concepts to both technical and non-technical colleagues alike
Our
unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve. Industries
- Financial Services
- High Tech
- Technology
FOR U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by applicable law.
Certain US jurisdictions require McKinsey & Company to include a reasonable estimate of the salary for this role.
For new joiners for this role in the United States, including all office locations where the job may be performed, a reasonable estimated range
is $112,900 - $116,500 USD -to help you understand what you can expect. This reflects our best estimate of the lowest to highest
[salary/hourly wages] for this role at the time of this posting, ensuring you have a clear picture right from the start, though it's important
to remember that actual salaries may vary. Factors like your office location, your unique blend of experience and skills, start date and our current
organizational needs all play a part in determining the final figure. Certain roles are also eligible for bonuses, subject to McKinsey's discretion
and based on factors such as individual and/or organizational performance.
Additionally, we provide a comprehensive benefits package that reflects our commitment to the wellness of our colleagues and their families.
This includes medical, mental health, dental and vision coverage, telemedicine services, life, accident and disability insurance, parental leave and family planning benefits, caregiving resources, a generous retirement contributions program, financial guidance,
and paid time off.
FOR NON-U.S. APPLICANTS: McKinsey & Company is an Equal Opportunity employer. For additional details regarding our global EEO policy and diversity initiatives, please visit our McKinsey Careers and Diversity & Inclusion sites.
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