Research Science Analyst - Strategy and Corporate Finance

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem‑solver who is energized by challenges? You've come to the right place. Your Impact You will support the delivery of longer‑term projects and shorter‑term needs for data analysis from our corporate finance experts and client delivery teams. This may include but is not limited to: experimental testing with new large language models (LLMs), structuring and implementing proof of concepts, enhancing existing functionality through new analytical approaches, and helping design end‑to‑end solutions alongside our engineers. You will be involved in analyzing large and complex data sets to uncover patterns, trends, and actionable insights using generative artificial intelligence techniques. You will develop and implement AI models, including machine learning, deep learning, and natural language processing algorithms, tailored to address client‑specific challenges. Additionally, you may design, test, and deploy scalable AI solutions in production environments. Collaboration with cross‑functional teams, such as consultants and industry experts, is essential to understand client needs and deliver impactful AI‑driven solutions. Effective communication of findings and insights to both technical and non‑technical stakeholders is a key aspect of the role. Staying current with advancements in AI, machine learning, and deep learning, and applying these innovations to client projects and product development initiatives, is expected. Furthermore, you will contribute to the development and maintenance of AI infrastructure and tools to support ongoing projects and initiatives. You’ll be based in Atlanta, Boston or Dallas and will be working with our Strategy and Corporate Finance practice. You will be a part of the McKinsey Value Intelligence Platform, which is a cornerstone data and insights platform for the firm, supporting client delivery teams and clients with expert insights on companies and industries. You will work closely with other data scientists, engineers, designers, and product managers and report directly to the Asset Leader within the practice. You will be responsible for performing domain research, data extraction, data transformation, data analytics and/or advanced analytics for asset design and development. You will support the asset team in advancing the team's product offerings by improving actionable insights via new AI capabilities to better serve our client delivery teams. You will foster strong partnerships and collaborate regularly with the product and engineering team, practice experts, and firm stakeholders (e.g., Risk, Legal). You will collaborate closely with these teams to align on strategic direction and ensure a coordinated approach. 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: 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. Your Qualifications and Skills Bachelor's or advanced professional degree in data analytics, statistics or related field required 1+ years of professional work experience in a data science or analytics role; preference for experience in finance or related field Exceptional problem‑solving and analytical skills with ability to break down complex problems, design testing approaches, conduct quantitative analysis at scale, and drive end‑to‑end solutions Comfort with ambiguous, ever‑changing situations Strong sense of ownership and entrepreneurial mindset; demonstrated success delivering outcomes in cross‑functional teams Professional, impartial, and independent attitude with a high degree of integrity Comfortable with ambiguity in a work‑setting, knowing how to address and manage unpredictable outcomes Experience with AI and machine learning frameworks and libraries would be nice to have (e.g., TensorFlow, PyTorch) Good communication skills with proven ability to communicate analytical and technical concepts effectively with managers and senior leaders, and to both technical and non‑technical colleagues Industries and Capabilities Strategy & Corporate Finance Equal Opportunity / Salary Information 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 U.S. 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 $92,000 - $95,000 USD - to help you understand what you can expect. This reflects our best estimate of the lowest to highest wage for this role at the time of this posting, ensuring you have a clear picture right from the start, though it is 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. #J-18808-Ljbffr