Job description
Junior Data Scientist
Northampton
As a Barclays Junior Data Scientist, you will be responsible for delivering projects from business proposal to the final product. You will utilize a combination of computing, data, and statistics to understand employee behaviors, as well as to improve our work environment and employee experience to help colleagues achieve their aspirations. You will also work on surveys, ad hoc reports and analysis from HR datasets. Participating in retrospectives, you will be involved into creation of strategy and stand ups, helping to develop the team.
Barclays is one of the world's largest and most respected financial institutions, with 329 years of success, quality, and innovation behind us. We offer careers that provide endless opportunity – helping millions of individuals and businesses thrive and creating financial and digital solutions that the world now takes for granted.
We are currently in the early stages of implementing a hybrid working environment, which means that many colleagues spend part of their working hours at home and part in the office, depending on the nature of the role they are in. We’re flexible on how this works and it may continue to change and evolve. Depending on your team, typically this means that colleagues spend a minimum of between 20% to 60% of their time in the office, which could be over a week, a month or a quarter. However, some colleagues may choose to spend more time in the office over a typical period than their role type requires. We also have a flexible working process where, subject to business needs, all colleagues globally are able to request work patterns to reflect their personal circumstances. Please discuss the detail of the working pattern options for the role with the hiring manager.
• You will be responsible for delivering Projects from business proposal to the final product in a timely manner, using and developing our previous code and understanding repositories
- Working in Python, PySpark and Hive, setting up different conda environments, creating and saving code using git to further develop our repositories
- Working on Surveys, include a variety of techniques including NLP for the text
- Working on Ad hoc reports and analysis from HR datasets (such as headcounts or WorkPlace Analytics)
- You will be responsible for following best coding and Data Science bests practices
- Participating in retrospectives, creating of strategy and stand ups, helping to develop the team
- Promoting a Risk-free environment for our products and services
- Ensuring that all activities and duties are carried out in full compliance with regulatory requirements, Enterprise-Wide Risk Management Framework, and internal Barclays Policies
• Bachelor/Master degree or equivalent in Mathematics, Statistics, Engineering, Computer Science or quantitative discipline or proven experience on delivery of product on services
- Ab to pro-actively set up timelines, milestone with Product Manager and other members of the team
- Understanding of traditional statistical methods (Logistic/Linear Regression, GLM, Decision Trees) as well as Machine Learning algorithms (k-Means, Random Forest, Gradient Boosting)
- Working skill level at “Programming and build” and use of industry standard tools (Python) and query datasets in SQL or similar
Skills that will help you in the role:
- Experience with People Analytics related models, dataset and libraries- datasets such as headcounts, Workplace Analytics, psychometrics, and surveys
- Experience or interest in Dashboard tool such as Qlik Sense, Tableau or LoopUp
- Model Interpretability, measuring impact of interventions or A/ B testing experience
- Agile/ Scrum environments experience
Where will you be working?
You will be based in Northampton. Northampton was the birthplace of Barclaycard in 1966 and we've been based in Pavilion Drive since the building opened in 1997. This state-of-the art energy efficient building holds up to 2,500 staff. The office location is perfect for travel from the midlands and London alike as we are based just off the A45, it is easily accessible by both car and bus routes.
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