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Payments Data Scientist - Associate, Insights & Growth

JPMorgan Chase & Co.
Greater London, UK
16 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.collegerecruiter.com

Tech stack

SQL Databases Tableau (Software) Pyspark Information Technology Data Analytics Databricks

Job description

JPMorganChase within the Global Payments team is seeking a Data Scientist to deliver high-impact analytics use cases and promote adoption of global solutions. You will collaborate with data science and product teams to showcase data-powered products and engage with stakeholders to identify new opportunities.

Requirements

The role requires expertise in SQL and data analytics platforms (Databricks, PySpark, Tableau), and a Bachelor’s in Engineering, Computer Science, Statistics, or Mathematics. #J-18808-Ljbffr

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:14 min

Evolution of distributed SQL database architectures

Wei Hu Wei Hu · World Congress 2024

2:27 min

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Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

1:04 min

Scaling data infrastructure for a rapidly growing fintech platform

Max Fischer Max Fischer +1 · World Congress 2026 Europe

1:36 min

Evolution from key-value stores to distributed SQL

Wei Hu Wei Hu · World Congress 2025

Videos

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PySpark - Combining Machine Learning & Big Data

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Data Science in Retail

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Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • about 2 years ago

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Wei Hu

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source thumbnail
29:50
World Congress 2026 Europe • 3 months ago

Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source

Viktoria Semaan

Empowering Retail Through Applied Machine Learning thumbnail
22:41
World Congress 2024 • about 2 years ago

Empowering Retail Through Applied Machine Learning

Christoph Fassbach, Daniel Rohr

OLTP in the Lakehouse: Redefining Data for AI Workloads thumbnail
24:36
Europe 2026 Virtual • 3 months ago

OLTP in the Lakehouse: Redefining Data for AI Workloads

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