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3,136

Data Scientist Junior jobs in United States

Security Services Data Modelling and Engineering - Vice President

JPMorgan Chase & Co.

Bournemouth
On-site
GBP 60,000 - 80,000
2 days ago
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Forecast & Replenishment Analyst: Data Insights

Phoenix Medical Supplies

West Midlands
On-site
GBP 60,000 - 80,000
2 days ago
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Data Analyst Placement Programme

ITOL Recruit

Crawley
On-site
GBP 80,000 - 100,000
2 days ago
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Data Scientist - ML for Education & Outcomes

GBS

Manchester
Hybrid
GBP 48,000 - 53,000
2 days ago
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Data Scientist

GBS

Manchester
Hybrid
GBP 48,000 - 53,000
2 days ago
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European Sector Analyst - Data-Driven Research & Insights

Point72

Greater London
On-site
GBP 50,000 - 70,000
2 days ago
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Machine Learning Engineer at High-growth NLP technology startup

Jack & Jill/External ATS

Greater London
Hybrid
GBP 70,000 - 90,000
2 days ago
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Senior Claims Data Analyst

IPS Group Limited

Manchester
Hybrid
GBP 76,000 - 90,000
2 days ago
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GIS Data Specialist — Rail Infrastructure Insights

Carrington West

Birmingham
Hybrid
GBP 41,000 - 44,000
2 days ago
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Healthcare Data Scientist — AI & GenAI Analytics (Hybrid)

BUPA

City Of London
Hybrid
GBP 60,000 - 85,000
2 days ago
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Data Scientist

BUPA

City Of London
Hybrid
GBP 60,000 - 85,000
2 days ago
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Senior Data Engineer (f/m/d)

PowerToFly

Greater London
Hybrid
GBP 70,000 - 90,000
2 days ago
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Senior Data Engineer

Anthony Nolan

Greater London
Hybrid
GBP 52,000
2 days ago
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Data Analyst, NHS Health Outcomes & MCED Trial

GRAIL

Greater London
Hybrid
GBP 89,000 - 111,000
2 days ago
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Data Specialist: M&A & Risk Insights

Moody's Investors Service

Eccles
On-site
GBP 30,000 - 45,000
2 days ago
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Data Specialist (Arabic Speaking)

Moody's Investors Service

Eccles
On-site
GBP 30,000 - 45,000
2 days ago
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Security Services Data Modelling and Engineering - Vice President

JPMorgan Chase

Bournemouth
On-site
GBP 55,000 - 80,000
2 days ago
Be an early applicant

Administration Data Analyst

GXO Logistics

Northampton
On-site
GBP 28,000
2 days ago
Be an early applicant

Data Engineer

Pennine Care NHS FT

Ashton-under-Lyne
On-site
GBP 35,000 - 50,000
2 days ago
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Remote Data Scientist - Healthcare Pay & Workforce Analytics

NHS Employers

Greater London
Hybrid
GBP 100,000 - 125,000
2 days ago
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Data Scientist

NHS Employers

Greater London
Hybrid
GBP 100,000 - 125,000
2 days ago
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Data Engineer

Bright Purple

Auchterarder
Hybrid
GBP 50,000 - 70,000
2 days ago
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GenAI Data Scientist & AI Engineer

Experian Group

Greater London
Hybrid
GBP 125,000 - 150,000
2 days ago
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Data Scientist – GenAI & AI Engineering

Experian Group

Greater London
Hybrid
GBP 125,000 - 150,000
2 days ago
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Data Engineer

LA International

Milton Keynes
Hybrid
GBP 60,000 - 80,000
2 days ago
Be an early applicant
Security Services Data Modelling and Engineering - Vice President
JPMorgan Chase & Co.
Bournemouth
On-site
GBP 60,000 - 80,000
Full time
2 days ago
Be an early applicant

Job summary

A leading financial services firm in the UK is looking for a skilled Data Engineer to design and optimize data pipelines using Databricks and Python. The role involves collaborating with Data Architects and Business Analysts to develop data models and ensure compliance with governance standards. Strong proficiency in Python and experience with Spark are essential. This position offers an opportunity to work in a dynamic environment and contribute to significant data projects.

Qualifications

  • Proven experience developing data pipelines and solutions on Databricks.
  • Strong proficiency in Python, including libraries for data transformation.
  • Solid understanding of ETL concepts, data modelling, and pipeline design.

Responsibilities

  • Design, build, and optimize data pipelines and transformation workflows on Databricks.
  • Collaborate with Data Architects and Business Analysts.
  • Implement data quality checks and validation modules using Python.

Skills

Data pipeline development
Python programming
ETL concepts
Spark experience
Data modeling
Communication skills
Collaboration

Tools

Databricks
Jira
Cloud data platforms
Python libraries (e.g., pandas)
Job description
Responsibilities
  • Design, build, and optimize data pipelines and transformation workflows on Databricks, leveraging Python and Spark.
  • Collaborate with Data Architects and Business Analysts to develop robust data models and clearly document data flows and ETL logic.
  • Implement and execute data quality checks and validation modules using Python.
  • Maintain transparency and accountability by tracking work and progress in Jira.
  • Ensure datasets and pipelines are accurately registered in relevant catalogues and consoles, meeting governance and privacy standards.
  • Proven experience developing data pipelines and solutions on Databricks.
  • Strong proficiency in Python, including libraries for data transformation (e.g., pandas).
  • Solid understanding of ETL concepts, data modelling, and pipeline design.
  • Experience with Spark and cloud data platforms.
  • Ability to document data flows and transformation logic to a high standard.
  • Familiarity with project management tools such as Jira.
  • Collaborative mindset and strong communication skills.
Qualifications
  • Proven experience developing data pipelines and solutions on Databricks.
  • Strong proficiency in Python, including libraries for data transformation (e.g., pandas).
  • Solid understanding of ETL concepts, data modelling, and pipeline design.
  • Experience with Spark and cloud data platforms.
  • Ability to document data flows and transformation logic to a high standard.
  • Familiarity with project management tools such as Jira.
  • Collaborative mindset and strong communication skills.
Preferred qualifications
  • Experience in financial services or large enterprise data environments.
  • Knowledge of data governance, privacy, and compliance requirements.
  • Exposure to business analysis and requirements gathering.
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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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