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!
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.
Join us as an Artificial Intelligence Data Scientist! As an Artificial Intelligence (AI) Data Scientist, you will play a critical part in BBH Digital transformation by conducting research, designing, prototyping, & validating machine learning models to assure achievement of desired business outcomes. As part of our AI Platform Team, your primary focus will be developing and implementing Machine Learning & statistical models that transform & elevate our business while shaping and driving our AI strategies.
Some of your key responsibilities include:
• Collaborate with internal teams to understand business challenges & identify opportunities for AI-driven solutions.
• Design, develop, evaluate, tune & deploy Machine Learning algorithms that turn data into actionable insights.
• Continuously research and stay abreast of the latest advancements in Machine Learning & AI to apply cutting edge techniques in our solutions.
• Proactively work with large datasets, ensuring integrity & effectiveness of data used in Machine Learning Models. Work closely with stakeholders to understand their needs & business correlation of analyzed data.
• Lead initiatives to enhance our data analytics capabilities with a focus on predictive & prescriptive analytics through Machine Learning.
• Develop & maintain AI models.
Desired Qualifications:
• Strong knowledge of machine learning techniques & statistical concepts
• Hands-on experience with ML libraries (Pandas, NumPy, Scikit-Learn, TensorFlow, SciPy).
• Working Python knowledge and experience with Microsoft Azure cloud.
• Understanding of databases & SQL for data retrieval.
• Familiarity with natural language processing (NLP) concepts
• Proven track record of developing & deploying models that have driven business impact.
• Experience with planning, construction & testing of ETL pipelines for data processing.
• At least 4 years as experience in a Machine Learning or Data Scientist role.
• Degree in Computer Science, Mathematics, or related field
• Experience building automated pipelines for model training.
• Experience with building Python microservices
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.