Data Science - Associate
This role focuses on designing and maintaining robust, secure data pipelines and architectures to support Chase UK’s business objectives, requiring collaboration with cross-functional teams to translate business needs into scalable technical solutions. The position emphasizes hands-on development, testing, and maintenance of critical infrastructure while ensuring data integrity and accessibility for reporting and analytics.
Skills required
About this role
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.
As a Data Scientist at JPMorgan Chase within the International Consumer Bank (namely, Chase UK), you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
- Collaborate with business partners, research teams and domain experts to understand business problems.
- Provide stakeholders with timely and accurate reporting.
- Perform ad hoc analysis based on diverse data sources to give decision-makers actionable insights about the performance of the products, customer behavior and market trends.
- Presents your findings in a clear, logical, and persuasive manner, illustrating them with effective visualizations.
- Collaborate with data engineers, machine learning engineers and dashboard developers to automate and optimize business processes.
- Identify unexplored opportunities to change how we do business using data.
Required qualifications, capabilities, and skills
- 1-3 years experience
- Experience across the data lifecycle
- Advanced SQL querying skills.
- Competent data analysis in Python.
- Experience in taking open ended business questions, then use big data and statistics to create analysis that can provide an answer to the questions at hand.
- Experience with customer analytics such as user behavioral analysis, campaign analysis, etc.
- Demonstrated ability to think beyond raw data and to understand the underlying business context and sense business opportunities hidden in data.
- Ability to work in a dynamic, agile environment within a geographically distributed team.
- Excellent written and verbal communication skills in English.
Preferred qualifications, capabilities, and skills
- Distinctive problem-solving skills and impeccable business judgment.
- Familiarity with machine learning.
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