AVP of Data Science

Wilmington, United States

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Date live: Oct. 11, 2022

Business Area: Barclays International

Area of Expertise: Analytics

Reference Code: 90276061

Contract: Permanent/Regular

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Senior Data Scientist

Wilmington, DE

As a Barclays Senior Data Scientist you will be responsible for building new Data Sciences capabilities by operationalizing Big Data platform. You will be monetizing new data assets, and leveraging various methodologies. You will provide resolutions and guiding development of best-in-class Data Science solutions. You will also collaborate with internal and external key stakeholders to identify new opportunities for profitable growth and business optimization.

Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality and innovation behind us. We've helped millions of individuals and businesses thrive, creating financial and digital solutions that the world now takes for granted. An important and growing presence in the USA, we offer careers providing endless opportunity.

What will you be doing?

•   Building new statistical models and Machine Learning algorithms that drive Marketing, Customer Experience, Credit Valuations and Operations programs
•   Leading data science projects from concept to deployment for delivering substantial business value through application of new-age AI-driven methodologies
•   You will be the subject-matter-expert in traditional statistical methods (Logistic/Linear Regression, GLM, Decision Trees)
•   Utilizing Machine Learning algorithms (k-Means, Random Forest, Gradient Boosting etc.) and using programming languages such as Python and SAS
•   Driving initiatives in deep learning, natural language processing, recommender systems, next-best-action systems, speech analytics and computer vision
•   Providing technical direction on key Data Science infrastructure decisions involving analytical toolkit, Big Data platform and cloud computing such as AWS

What we’re looking for:

•   Master’s degree or foreign equivalent in Mathematics, Statistics, Engineering, Computer Science or a related quantitative discipline
•   5 years of experience in the financial industry such as credit card company
•   2+ years building Customer Level offer optimization models
•   3+ years building Machine Learning models, R, SAS with Python and AWS

Skills that will help you in the role:

•   PhD in a quantitative discipline
•   Previous Financial Services experience
•   Building models that are implemented in digital channel
•   Basic Unix/Linux experience is a plus, such as WinScp/Filezilla, Putty, pscp, plink, SSH

Where will you be working?

Barclays' Wilmington campus includes two beautiful buildings located along the historic
Wilmington Riverfront. A glance out our windows reveal a scenic look at the Christina
River, along with a growing riverfront community of luxury apartments, shops, and
restaurants. Additionally, the Wilmington train station is a short walk away making travel
from New York and Washington, DC convenient.

#LI-WP2020

More about working at Barclays

Our approach to hybrid working ensures there’s the right balance of working alongside colleagues at our onsite locations, as required for each role. For business areas that offer a hybrid working experience, this will be in a structured way, where colleagues work at an onsite location on fixed, ‘anchor’, days of the week. Some roles may require full onsite working. Please discuss the working pattern requirements for the role you are applying for with the hiring manager.

We continue to embed and review our hybrid working environment and remain in a phase of testing and learning. This means that working arrangements could change, with reasonable notice, to align with the needs of our business.

Barclays welcomes applications from all candidates and is committed to ensuring reasonable adjustments (accommodations) are put in place to allow for a fair and inclusive recruitment process. For more information and how to request one, please review Adjustments to the recruitment process.

We’re committed to providing an inclusive culture and environment, that recognises and supports ways to balance your personal needs, alongside the professional needs of our business. Providing the opportunity for all our employees globally to work flexibly empowers each of us to work in a way that suits our lives, as well as enabling us to better service our customers’ and clients’ needs.

Our approach to working flexibly is designed to support you to balance your life and to accommodate diverse needs, whilst still allowing us to meet our business needs. If you’d like to request a flexible working arrangement, please discuss this with your hiring manager.

We're committed to providing a supportive and simplified experience for our candidates throughout the application and assessment process. Here, you will find information about what to expect and some guidance around your assessment and interview.

While the application process depends on the role, there are some constant steps, which are;

Step 1 - Your application
Step 2 - Your assessment
Step 3 - Your interview
Step 4 - Next steps

We aim to create an inclusive work environment where everyone can reach their full potential. If you require any adjustments to our recruitment process, please click here to learn more.

Find out more information here.

Barclays offers a diverse, inclusive and engaged culture. A place where people can bring their whole selves to work and be respected for who they are, valued for what they do and celebrated for their contribution to our business and our community.
We are an equal opportunity employer and opposed to discrimination on any grounds. It is the policy of Barclays to ensure equal employment opportunity without discrimination or harassment on the basis of race, colour, creed, religion, national origin, alienage or citizenship status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law.

Barclays is required by law to confirm that you have the Legal Right to Work in any role that you apply for. If you currently hold a work visa sponsored by Barclays, or you would require sponsorship from Barclays, you must declare this as part of your application. Sponsored visas are role and entity specific and any changes must be reviewed. It is important that you ensure you are working on the correct visa at all times. Failure to accurately disclose your visa status or Legal Right to Work may result in your application or any employment offer being withdrawn at any time.

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