Analytics
You will work with cutting edge AI teams on research and development topics across our life sciences, global energy and materials (GEM), and advanced industries (AI) practices, serving as a data engineer / machine learning engineer in a technology development and delivery capacity.
Your Impact
You will be working in one of our offices in North America in our Life Sciences practice. You will work as a member of the McKinsey's global scientific AI team helping to answer industry questions related to how AI can be used for therapeutics, chemicals & materials (including small molecules, proteins, mRNA, polymers, etc.).
With your expertise in computer science, computer engineering, cloud, and data transformation (ETL & feature engineering), you will help build and shape McKinsey's scientific AI offering.
You will deliver distinctive capabilities, data, and machine learning systems through your work with client teams and clients. You will play a pivotal role in the creation / dissemination of cutting-edge knowledge and proprietary assets and you will help build the firm's reputation in your area of expertise.
As a Data Engineer, your role will be split between developing new internal knowledge, building AI and machine learning models & pipelines, supporting client discussions, prototypes development, and deploying directly with client delivery teams.
Your core responsibilities will entail :
Your Growth
Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance / high reward culture – doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues at all levels will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won't find anywhere else.
When you join us, you will have :
Your qualifications and skills
Equal Opportunity Statement
FOR U.S. APPLICANTS : McKinsey & Company is an Equal Opportunity 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 $137,500 - $141,700 USD – to help you understand what you can expect.
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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Data Science Engineer • Darien, CT, US