Data Engineer - Scientific AI

Analytics

Data Engineer - Scientific AI

Job ID : 98586

Do you want to work on complex and pressing challenges-the kind that bring together curious, ambitious, and determined leaders who strive to become better every day? If this sounds like you, you've come to the right place.

Your Impact

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. You'll be working in one of our offices in North America in our Life Sciences practice. You will work as a member of 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 :

• Bringing distinctive data / machine learning engineering & product development competency to complex client problems through part-time staffing on clients
• Supporting the manager of data engineering / machine learning engineering on the development of data / machine learning engineering roadmap of assets across cell-level initiatives
• Productionize AI prototypes / create deployment ready solutions
• Translating engineering concepts and design / architecture trade-offs and decisions for senior stakeholders
• Writing optimized code to advance our AI Toolbox and codify methodologies for future deployment
• Working in a multi-disciplinary team

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

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

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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. 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.

Job Skill Group - N / A

Job Skill Code - GCOB - Data Engineer II

Function - Technology

Industry - High Tech;Life Sciences

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