Principal Data Scientist Artificial Intelligence Machine Learning Scientist – Financial Advice

To provide strategic direction and expert level technical leadership for the most critical and complex initiatives. 2. To participate in IT-wide governance to effectively communicate architecture goals and strategies and build consensus among senior technical leaders. 3. To communicate strategic technology direction to senior leaders in the business and IT.

Leverage Artificial Intelligence to innovate the world of digital advice

You will be working with a dynamic team of Innovators, AI engineers and data scientists that are at the forefront of AI/ML application for the company. You will be working at our Malvern Campus, focusing on researching and developing leading-edge analytics enabled solutions for our AI based financial Advice platform; including applying smart algorithms, machine learning, artificial intelligence, and cloud technologies. The team works closely with subject matter experts in investment methodology and economic theory. 

Vanguard has been changing the way the world invests for over 40 years, as a company we’re committed to improving the lives of our clients. We’re using AI and ML to create experiences and services that will help more people than ever reach their goals. As an Advice Principal Data Scientist you’ll be responsible for helping trail blaze AI/ML at Vanguard – some of the most important work we’ve ever done as a company.

Requirements

In this role, your will:
You will be challenged to be influential and make a positive difference on a global scale, working on a team that is purely focused on AI/ML Research. Further, you will need to establish yourself as a thought leader and the go-to person in your area of expertise, i.e. AI/ML in financial advice. Strong communication skills are essential to deliver your message globally across various stakeholders/teams with diverse backgrounds and focus areas spanning research, development, engineering, business, and management. You will be working in a very agile, dynamic environment leading/supporting ongoing activities while starting new ones. Therefore, success in this role requires excellent multitasking and time management skills. We look to you to surprise us in building breakthrough AI-enabled systems leveraging modern AI techniques to create value from the data collected and generated by our base systems. These AI enabled systems and services will allow us to provide highly individualized advice at a massive scale.

You will apply your advanced data analytics, artificial intelligence/machine learning knowledge and experience to interact with stakeholders, identify new problems and opportunities, develop innovative propositions, contribute to intellectual property, and build and pilot first-of-its-kind demonstrators. You will play a strong role in shaping our agenda.

Qualifications:

What it takes:
PhD in Computer Science, Statistics, Machine Learning, Data Science, Electrical Engineering or related field, with 10+ years of experience in developing and implementing AI/ML related projects 
Strong technical skills on machine learning/AI with proven track record. These technical skills include, but not limited to, regression techniques, neural networks, decision trees, clustering, pattern recognition, probability theory, stochastic systems, Bayesian inference, statistical techniques, deep learning, supervised learning, unsupervised learning 
Strong technical knowledge on big data technologies, cloud, and opensource software tools 
Outstanding track record of successful solutions design in the digital space 
A strong track record of starting new activity areas and E2E management of projects related to analytics enabled solutions and transferring to production as appropriate 
Working with partners and /or affiliations, track record in establishing partnerships 
Desirable experience in multicultural/global team and influencing decisions at the highest management levels.

Experienced in using AI/ML platforms, technologies, techniques (e.g. TensorFlow, Apache MXnet, Theano, Keras, CNTK, scikit-learn, H2O, Spark MLlib, etc).

Proficiency with SQL and NoSQL databases

Proficiency with scalable data extraction tools (e.g. Cassandra, MongoDB)

Proficiency with Scala, Spark, Java and/or SAS

Special Factor

Work must be performed in the U.S. 

Special Factors

Sponsorship

Vanguard is offering visa sponsorship for this position.

About Vanguard

We are Vanguard. Together, we’re changing the way the world invests.

For us, investing doesn’t just end in value. It starts with values. Because when you invest with courage, when you invest with clarity, and when you invest with care, you can get so much more in return. We invest with purpose – and that’s how we’ve become a global market leader. Here, we grow by doing the right thing for the people we serve. And so can you.

We want to make success accessible to everyone. This is our opportunity. Let’s make it count.

Inclusion Statement

Vanguard’s continued commitment to diversity and inclusion is firmly rooted in our culture. Every decision we make to best serve our clients, crew (internally employees are referred to as crew), and communities is guided by one simple statement: “Do the right thing.”

We believe that a critical aspect of doing the right thing requires building diverse, inclusive, and highly effective teams of individuals who are as unique as the clients they serve. We empower our crew to contribute their distinct strengths to achieving Vanguard’s core purpose through our values.

When all crew members feel valued and included, our ability to collaborate and innovate is amplified, and we are united in delivering on Vanguard's core purpose.

Our core purpose: To take a stand for all investors, to treat them fairly, and to give them the best chance for investment success.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.