Senior Data Science Manager

Senior Data Science Manager

UKC Strategic Analytics

This role can be based in either London or Northampton.

Barclaycard

From Europe to the USA, and from Africa and the Middle East to the Far East, over 23 million Barclaycard customers enjoy the benefits of our innovative approach to business. Dedicated to success, our strong international growth has laid the foundation for an exciting future where we truly drive solutions that make payments simpler for all of our customers.

Organisation:

We don’t stand still at Barclaycard. Innovation is the key to our success. So even though we’re a market leader, we think like a start-up to take our business to new heights. Constantly challenging traditional ways of thinking and looking for new ways to help our customers buy and sell, this approach is reflected in our exceptional people.

Department:

This role is part of the Strategic Analytics team that shapes UK Credit Cards strategy using data analytics as the key competitive tool.

With a portfolio of 10m customers & £16 bn in assets, Data driven intelligence is absolutely integral to our future growth strategy. We collect millions of data records every day from customer’s Account Management; Card Transactions; Servicing & Marketing interactions through Website, Call center, Direct & Digital Marketing; Credit Reference Agencies & Banking Relationships.

We’re committed to going much further in harnessing power of our enormous data assets to create amazing customer experiences, deliver digital services, inform strategic asset growth options and optimise risk-reward trade-offs in our business decisions.

Role:

You will take a lead to develop advanced data science capability. You and your team will develop new growth opportunities by analysing patterns in vast collections of existing & new data sources; generate insight that shapes and informs key strategic and business decisions and inspire stakeholders with algorithmic solutions of complex business problems.

We are looking for an individual who is passionate about & has real world experience of Machine Learning and Data Science methods, in particular the applications in various aspects of decision optimisation and have applied these techniques on several consumer focused businesses or other mass data environment (Examples include consumer banking, credit cards, retail, travel, technology industry).

What you’ll need:

• Strong knowledge of some supervised and unsupervised machine learning methods, such as Regression methods (e.g. Ridge Regression, Lasso Regression, Logistic Regression), Ensemble and boosted classifiers (e.g. Random Forests, XGBoost), Support Vector Machines, Neural Networks, Clustering methods (e.g. k-Means, DBScan), Natural Language Processing among others. A firm understanding of the underlying mathematics is needed to adapt modelling techniques to fit the problem space.
• Solid hands on programming experience with at least one of the standard data science tools, Python (Pandas, Scikit-Learn etc), R, Scala/Spark
• Experience building analytical pipelines e.g. to deploy machine learning models into production
• Experience with the Hadoop ecosystem, ideally CDH/Impala/Hive and/or traditional database systems, including advanced SQL querying
• Expertise of using classical statistical methods (such as Linear Regression, Decision Trees) in a commercial environment.
• Experience in a mass data environment with analytics to drive revenue growth or manage risk/costs in the business
• Ability to consolidate and analyse complex information in order to identify creative new ways of working and innovative solutions to problems
• Ability to package ideas and communicate analytical results in a logical, understandable and compelling way for both technical and non-technical audiences
• Bachelors Degree in a quantitative field (Mathematics, Statistics, Machine Learning, Computer Science, Engineering etc.) (Ph.D. preferred) or equivalent

What you’ll get in return?

Join us, and we’ll offer you training and development opportunities that support and complement your career aspirations. A competitive salary and attractive pension package are standard, and with private healthcare and great holiday entitlements, you’ll enjoy some of the best benefits in the industry.

The Benefits:

Our customers deserve the best. The same goes for our people. That’s why at Barclays you’ll receive a range of benefits including a competitive salary, flexible hours and all the tools, technology and support to help you become the very best you can be.

Our Culture:

All we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. The values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our employees. Simply put, success is not just about what you achieve, but about how you achieve it.

Dynamic working gives everyone at Barclays the opportunity to integrate professional and personal lives, if you have a need for flexibility then please discuss this with the hiring manager.

Diversity:

At Barclays, we recruit based on merit and are committed to promoting diversity throughout our organisation.

Ready to apply?

There are three stages to our application process:

1. Application: On your application we’ll ask for information like your contact details, education and work experience. You’ll also be required to upload a CV, so it’s a good idea to have it ready.

2. CV Review: If you meet the criteria for the role you’ve applied for, a member of our team will be in touch to conduct a short telephone interview to explore your application in greater detail.

3. Assessment: If your application is successful at this stage, we’ll ask you to complete an online Situational Judgment Test to explore your alignment to the Barclays Values and Competencies. Your recruiter will be able to provide further information about the test.

Visit our website for tips and advice on each stage www.jobs.barclays.co.uk/advice or click below to apply now.

We encourage applicants to apply as early as possible in the recruitment period. Barclays recruitment periods can and may vary. We reserve the right to remove this advert during the recruitment process.

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