Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Associate

J.P. Morgan
City of London
4 days ago
Create job alert

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), youserve 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 maintainingcritical data pipelines and architecturesacross multiple technical areas within various business functionsin support of thefirm’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.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Associate

Data Science Associate

Data Science Associate

Data Science Associate

Data Scientist/Software Engineer (AI and Computer Vision)

Data Science Senior Associate - LLM/NLQ - Asset Management Data Analytics

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.