Lead Analyst, Data Science
Barclays
London, UK
8d ago

Description

Lead Analyst, Data Science

1 Churchill Place, Canary Wharf, London

As Lead Analyst you will take the lead to develop advanced data science capability for Barclaycard. You will need to apply machine learning modelling techniques for outcomes on customer insights, marketing effectiveness, risk management and product development.

This an opportunity for you and the team will develop new growth opportunities by analysing patterns in vast collections of existing & new data sources, to help shape commercial business decisions.

What will you be doing?

  • Deploy Machine Learning to uncover patterns in large scale data sets to identify customer behavior correlations and convert in scalable growth opportunities
  • Enhance internal data mining assets
  • Identify new enhancement opportunities in data sources & machine learning toolsets to utilize for further business growth
  • Key Stakeholders : Strategic Analytics Teams, ECM, Marketing, Risk, Technology, IVU
  • Identify and build relationships with key stakeholders.
  • What we’re looking for :

  • We are looking for an individual who is passionate about & has real world experience of Machine Learning and Data Science methods,
  • Experience of the applications in various aspects of decision optimization, having applied these techniques on consumer focused businesses or other mass data environment
  • You should be able to demonstrate commercial acumen to explore business growth opportunity and will have to present your strategies
  • Skills that will help you in the role :

  • Strong knowledge of some supervised and unsupervised machine learning methods, such as Regression methods,), Ensemble and boosted classifiers (e.g. Random Forests, XGBoost)
  • 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
  • Where will you be working?

    In the heart of Canary Wharf, our headquarters at Churchill Place boasts onsite amenities such as; a gym, staff restaurant and deli bar, and is easily accessible by tube and bus links.

    With a population of around 5000 staff the atmosphere is second to none with a real buzz being created around the offices within.

    Interested and want to know more about Barclays? Visit for more details.

    Our Values

    Everything we do is shaped by the five values of Respect, Integrity, Service, Excellence and Stewardship. Our values inform the foundations of our relationships with customers and clients, but they also shape how we measure and reward the performance of our colleagues.

    Simply put, success is not just about what you achieve, but about how you achieve it.

    Our Diversity

    We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included and their talents are nurtured, empowering them to contribute fully to our vision and goals.

    Our Benefits

    Our customers are unique. The same goes for our colleagues. That's why at Barclays we offer a range of benefits, allowing every colleague to choose the best options for their personal circumstances.

    These include a competitive salary and pension, health care and all the tools, technology and support to help you become the very best you can be.

    We are proud of our dynamic working options for colleagues. If you have a need for flexibility then please discuss this with us.

    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.

    We will consider applications from job share applicants.

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