Data engineer Work, Jobs in Langdon Hills (with Salaries)

Data Scientist – GenAI & AI Engineering
Experian Information Solutions —London
- Full-time
- Hybrid work
- Machine learning
- AI
- Python
- Annual leave
Senior Data Engineer - Data Ingestion and Enrichment team
Preply —London
- Full-time
- Hybrid work
- DevOps
- English
- AWS
Quick apply
Data Engineer
Redhorse International —London
- £51,355.35 - £106,846.96 a year
- Full-time
- SQL
- In-person
- AI
- Store discount
- Flexitime
Quick apply
Azure Data / Dev Ops Engineer
Assura Protect —London
- £60,000.00 - £95,669.20 a year
- Full-time
- Azure
- Oracle
- DevOps
- Health & wellbeing programme
- Employee stock ownership plan
Quick apply
Lead Data Engineer
Ground Control —Billericay
- Full-time
- Hybrid work
- Azure
- DevOps
- SQL
- Annual leave
- Life insurance
Quick apply
Junior Data Engineer
KMH Group —Maidstone
- Night shift
- Driving
- Annual leave
Data Engineer
Air Apps —London
- £54,000 - £67,000 a year
- Full-time
- Data analysis skills
- SQL
- Analysis skills
- Life insurance
Business Intelligence (BI) Developer & Data Analyst
Wilkin & Sons Ltd —Colchester
- £30,000 - £35,000 a year
- Full-time
- ERP systems
- Data analysis skills
- English
- Free parking
- Store discount
Quick apply
7d
Data Engineer, Fraud
Xcelirate —London
- £98,000 a year
- Full-time
- Remote
- SQL
- Bachelor's degree
- Machine learning
Quick apply
Data Engineer
Clio —London
- £69.70 - £82.00 an hour
- Full-time
- Azure
- SQL
- Software development
- Life insurance
Data Engineer
Medpace, Inc. —London
- Full-time
- Azure
- Computer Science
- SQL
- Annual leave
Data Analyst
Fortray Global Services Ltd —London
- £36,000 - £38,000 a year
- Monday to Friday
- Hybrid work
- Microsoft Powerpoint
- Microsoft Excel
- Azure
Data Engineer
HeadFirst B.V. —London
- £4,000 - £8,500 a month
- Full-time
- Hybrid work
- Azure
- SQL
- Bachelor's degree
Quick apply
Senior Lead Software Engineer - Python, Data, Cloud, AIML
JPMorganChase —London
- Full-time
- System design
- Master's degree
- AWS
Data Engineer I - QuantumBlack, AI by McKinsey
McKinsey & Company —London
- Azure
- Computer Science
- Engineering
Global IT Data Engineer Senior Specialist
Boston Consulting Group —London
- Full-time
- Computer Science
- Engineering
- SQL
Specialist Data Engineer
Financial Ombudsman Service —London
- £58,075 - £75,000 a year
- Weekend availability
- Hybrid work
- Azure
- SQL
- APIs
6d
Data Engineer
White Circle —London
- £60,000 - £80,000 a year
- Full-time
- Hybrid work
- English
- SQL
- AWS
- Relocation assistance
- Annual leave
13d
Data Engineer
Teza Technologies —London
- Full-time
- Hybrid work
- Computer Science
- Java
- Master's degree
Junior Analytics Engineer
Lendable —London
- Full-time
- Hybrid work
- SQL
- Analysis skills
- Machine learning
- Referral programme

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Data Scientist – GenAI & AI Engineering

Experian Information Solutions -
London

Apply Now

Job details

Permanent | Full-time

Benefits

Annual leave
Company pension
Private medical insurance

Qualifications

OOP
Machine learning
AI
Python

Full job description

Role Overview

Internal Grade D/EB8

Data Scientist – GenAI & AI Engineering

The Generative AI Centre of Expertise (GenAI CoE) at Experian helps teams across Experian's UK business. It improves products using Generative AI, machine learning, and automation. The centre has a focus on responsible, measurable impact.

Who is a GenAI CoE Data Scientist?

This is a mid-level, hybrid role for a data scientist who enjoys hands-on work and wants to grow into AI engineering. You'll report into the Head of Machine Learning and work across two connected areas:

Experimentation and evaluation (data science): framing problems, designing experiments, defining success metrics, analysing results, and understanding model/system behaviour in product contexts
AI engineering: build GenAI systems (prototypes through to production-ready components), supported by experienced colleagues

A big part of the job is choosing the right approach — when GenAI is valuable, and when simpler analytics or ML is the better answer.

What you'll do

You will work with product, engineering, and business teams to turn fuzzy ideas into clear problem statements, assumptions, and success metrics
You will design and run experiments to evaluate GenAI systems, including baseline comparisons, error analysis, and understanding failure modes
Help refine GenAI solutions, using modern development practices and AI-assisted coding tools to iterate quickly
Communicate results, including trade-offs, limitations, and recommendations for what to do next
Share insights with the team and spend ~10% of your time on learning and knowledge sharing

Experience and Skills

You have experience working as a data scientist (or in a similar role), applied machine learning, and Python programming.
You are comfortable working with incomplete information, and enjoy figuring things out through exploration and experimentation.
You are keen to develop broader skills across AI engineering and product-focused delivery.
You think beyond your scope: you join up product, data, and engineering context to spot issues early and improve decisions.

It would be great if you also have

Exposure to software engineering practices such as version control, testing, or object-oriented programming.
You will understand how companies deploy or run AI systems in practice through cloud services or containerised environments.
Experience explaining technical concepts or analysis to non-technical partners.

About Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agribusiness, insurance, and many more industry segments.

We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

Benefits package includes:

Hybrid working - 40% office based
Great compensation package and discretionary bonus plan
Core benefits include pension, bupa healthcare, sharesave scheme and more!
25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Recruitment Fraud Awareness - Experian's recruitment process is conducted only through authorised channels. Recruitment communications will only be sent from an @experian.com email address. Experian will never ask candidates to make any payment as part of an application, interview, assessment, onboarding, or recruitment process. To apply for roles or verify opportunities, please visit experian.com/careers.

#LI-Hybrid #LI-ST1

Experian Careers - Creating a better tomorrow together

Apply Now

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data engineer jobs in langdon hills

Data Scientist – GenAI & AI Engineering

Senior Data Engineer - Data Ingestion and Enrichment team

Data Engineer

Azure Data / Dev Ops Engineer

Lead Data Engineer

Junior Data Engineer

Data Engineer

Business Intelligence (BI) Developer & Data Analyst

Data Engineer, Fraud

Data Engineer

Data Engineer

Data Analyst

Data Engineer

Senior Lead Software Engineer - Python, Data, Cloud, AIML

Data Engineer I - QuantumBlack, AI by McKinsey

Global IT Data Engineer Senior Specialist

Specialist Data Engineer

Data Engineer

Data Engineer

Junior Analytics Engineer

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