Data Scientist

At BBH we value diverse backgrounds, so if your experience looks a little different from what we’ve outlined and you think you can bring value to the role, we will still welcome your application!

What You Can Expect At BBH:

If you join BBH you will find a collaborative environment that enables you to step outside your role to add value wherever you can. You will have direct access to clients, information and experts across all business areas around the world. BBH will provide you with opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm. We encourage a culture of inclusion that values each employee’s unique perspective. We provide a high-quality benefits program emphasizing good health, financial security, and peace of mind. Ultimately we want you to have rewarding work with the flexibility to enjoy personal and family experiences at every career stage. Our BBH Cares program offers volunteer opportunities to give back to your community and help transform the lives of others.

At Brown Brothers Harriman, we believe no job is too big or small for any of us to handle if it helps our clients. We value passionate, committed people who enjoy collaborating with others to find new solutions to complex business challenges. We are looking for the type of person who speaks their mind, truly listens and steps outside their role to add value wherever they can. Someone who is driven to get things done and views obstacles as an exciting challenge that demands a creative solution. Above all, we seek someone who takes great pride in their work and is inspired and motivated by their role in protecting and enhancing our client’s financial well-being.

If you are looking for an entrepreneurial environment where you can learn and thrive, Brown Brothers Harriman is the right place for you.

BBH’s Innovation Lab is looking for a Data Scientist to join our team! As a Data Scientist you will play a critical part in BBH Digital transformation by conducting research, designing, prototyping, and validating machine learning models to assure achievement of desired business outcomes. You will also be responsible for creating a production-ready code to put your models in the production environment. Please note this role will report into our Philadelphia office and will operate on a hybrid model weekly (3x in-office, 2x remote).

Key responsibilities:

• Work closely with stakeholders to understand their needs and business correlation of analyzed data.
• Build data structures by gathering, identifying relationships and transforming big datasets.
• Developing AI models for Financial Services, including production-ready code
• Monitor the efficiency of developed machine learning models and re-train when there is a need.

Desired Qualifications:

• Strong knowledge of machine learning techniques and statistical concepts
• Hands-on experience with Python and ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, SciPy, NLTK)
• Understanding of databases and SQL for data retrieval
• At least 4 years of experience as Data Scientist
• Degree in Computer Science, Mathematics or related field
• Basic skills related to software development in Python (familiarity with basic OOP principles, unit testing)

Nice to Have:

• Experience building automated pipelines for model training
• Experience with Microsoft Azure

What We Offer

• A collaborative environment that enables you to step outside your role to add value wherever you can
• Direct access to clients, information and experts across all business areas around the world
• Opportunities to grow your expertise, take on new challenges, and reinvent yourself—without leaving the firm
• A culture of inclusion that values each employee’s unique perspective
• High-quality benefits program emphasizing good health, financial security, and peace of mind
• Rewarding work with the flexibility to enjoy personal and family experiences at every career stage
• Volunteer opportunities to give back to your community and help transform the lives of others

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, age, genetic information, creed, marital status, sexual orientation, gender identity, disability status, protected veteran status, or any other protected status under federal, state or local law.