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2,280

Data Scientist jobs in United Kingdom

Machine Learning Scientist II - Forecasting & Causal Inference

Traveltechessentialist

City Of London
On-site
GBP 60,000 - 90,000
4 days ago
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Scientist II : Capillary Electrophoresis (C.E)

Eurofins

Lancashire
On-site
GBP 80,000 - 100,000
4 days ago
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Global Banking & Markets - Quantitative Researcher - Associate / VP -London London United Kin ...

Goldman Sachs, Inc.

Camden Town
On-site
GBP 60,000 - 80,000
4 days ago
Be an early applicant

Specialist Biomedical Scientist (Haemostasis)

GREAT ORMOND STREET HOSPITAL NHS FOUNDATION TRUST

Camden Town
On-site
GBP 30,000 - 40,000
4 days ago
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Biomedical scientist - Clinial Biochemistry Automation laboratory

Imperial College Healthcare NHS

Camden Town
On-site
GBP 30,000 - 40,000
4 days ago
Be an early applicant
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Radiation Protection Scientist

UK Health Security Agency

Camden Town
Hybrid
GBP 28,000 - 36,000
4 days ago
Be an early applicant

Research Associate (Dexterous Soft Robotic Manipulators) (KP13160)

University of Bath

Bath
On-site
GBP 30,000 - 40,000
4 days ago
Be an early applicant

Postdoctoral Research Associate Grade 7/8

University of Liverpool

Liverpool
Hybrid
GBP 30,000 - 38,000
4 days ago
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Senior Scientist II Consumer Science

Mondelez International

Reading
On-site
GBP 30,000 - 45,000
4 days ago
Be an early applicant

Senior Social Research Scientist (Band 3/SEO)

Health and Safety Executive

Earl Sterndale
On-site
GBP 48,000
4 days ago
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Research Associate in Underwater Acoustics (AP12902)

University of Bath

Bath
On-site
GBP 38,000 - 47,000
4 days ago
Be an early applicant

User Researcher (Openreach Design Practice)

BT Group

Martlesham
On-site
GBP 40,000 - 60,000
4 days ago
Be an early applicant

User Researcher (GDS)

IBM

Camden Town
On-site
GBP 30,000 - 45,000
4 days ago
Be an early applicant

UX Researcher, Global Last Mile Standards

Amazon

City Of London
On-site
GBP 60,000 - 85,000
4 days ago
Be an early applicant

Mechanical Test Engineer/Sr Scientist in Wrexham

Smart4Chemical

Wrexham
On-site
GBP 80,000 - 100,000
4 days ago
Be an early applicant

Senior Scientist

Waters

Morley
On-site
GBP 40,000 - 60,000
4 days ago
Be an early applicant

Specialist Biomedical Scientist

University Hospitals of North Midlands NHS Trust

Macclesfield
On-site
GBP 25,000 - 35,000
4 days ago
Be an early applicant

User Researcher (Openreach Design Practice)

Openreach

Martlesham
Hybrid
GBP 45,000 - 55,000
4 days ago
Be an early applicant

User Researcher (GDS)

IBM

Abbots Worthy
On-site
GBP 35,000 - 50,000
4 days ago
Be an early applicant

Senior Principal Scientist - In Vivo Pharmacology

Sygnature Discovery

Nottingham
On-site
GBP 70,000 - 90,000
4 days ago
Be an early applicant

Research Associate (2 posts)

Cardiff University

Cardiff
Hybrid
GBP 41,000 - 47,000
4 days ago
Be an early applicant

Highly Specialised Cardiac Scientist / Physiologist

East Kent Hospitals University NHS Foundation Trust

Margate
On-site
GBP 37,000 - 45,000
4 days ago
Be an early applicant

Quantum Hardware Researcher - 559

Quantinuum

City Of London
On-site
GBP 70,000 - 90,000
5 days ago
Be an early applicant

Vetting Researcher

Service Care Solutions

East Midlands
On-site
GBP 40,000 - 60,000
5 days ago
Be an early applicant

Customer Insight Researcher

Kelda Group Limited 0000411940 - Kelda Group Limited

Leeds
Hybrid
GBP 36,000 - 46,000
5 days ago
Be an early applicant

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Machine Learning Scientist II - Forecasting & Causal Inference
Traveltechessentialist
City Of London
On-site
GBP 60,000 - 90,000
Full time
4 days ago
Be an early applicant

Job summary

A travel tech company in London seeks a Machine Learning Scientist II to enhance its travel platform through advanced machine learning models and forecasting techniques. The ideal candidate will have a strong background in causal inference and substantial programming skills in Python or R. This role offers a full benefits package and the opportunity to work in a dynamic environment focused on innovation.

Benefits

Medical/dental/vision
Paid time off
Travel reimbursements
Travel discounts

Qualifications

  • Proven experience applying ML and econometric algorithms to real-world problems.
  • Experience with causal inference methods and forecasting techniques.
  • High intellectual curiosity and a passion for tackling complex technical problems.

Responsibilities

  • Create state-of-the-art machine learning models to enhance travel platform effectiveness.
  • Apply causal inference techniques to solve complex business problems.
  • Leverage large data volumes to build models and algorithms.

Skills

Machine Learning
Causal Inference
Forecasting Techniques
Python
R
Scala
SQL
Hadoop
Spark
AWS

Education

MSc or PhD in a quantitative discipline

Tools

Databricks
Qubole
Job description
Machine Learning Scientist II - Forecasting & Causal Inference

Location: United Kingdom - London

Job Type: Full‑Time Regular

Posted: 11/05/2025

ID # R-97296

Expedia Group brands power global travel for everyone, everywhere. We design cutting‑edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated, and when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time‑off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the Team

The Expedia Group team in London helps our customers find and book the best travel for their needs, and our suppliers compete effectively and grow their business on our travel platform. Our travel platform is powered through transforming raw data into insights that both suppliers and customers can leverage. We strive to ensure everything we do has measurable business impact. We build innovative algorithms and models that make intelligent, automated decisions, both in batch and in real‑time. We collaborate closely with the analytics, market management, product and technology teams.

In this role, you will:
  • Create state‑of‑the‑art machine learning models to enhance our travel platform's effectiveness and efficiency.
  • Apply causal inference techniques and forecasting models to solve complex business problems and improve decision‑making across our travel platform.
  • Leverage large volumes of data to build models and algorithms that improve software and address critical business questions.
  • Utilize cloud and data technologies to train and deploy models at scale.
  • Support key business initiatives through data‑driven insights.
  • Collaborate with analytics, market management, product, and technology teams.
  • Forecast demand, suggest prices and deals, provide automated conversational AI, and offer guided recommendations for hotels.
  • Manage multiple tasks, own deliverables end‑to‑end, and prioritize workload effectively.
  • Communicate findings and implications clearly to teammates and business partners.
Minimum experience and qualifications:
  • MSc or PhD in a quantitative discipline (e.g., Machine Learning, Computer Science, Statistics, Applied Mathematics/Physics); or equivalent related professional experience.
  • Proven experience applying ML and econometric algorithms to real‑world problems.
  • Experience with causal inference methods (e.g., propensity scoring, instrumental variables) and forecasting techniques (e.g., time series models, ARIMA, Prophet).
  • Proficiency in Python, R, or Scala with strong coding practices and performance optimization.
  • Solid SQL skills data extraction, transformation, and loading.
  • Experience with distributed data environments (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Qubole, Databricks).
  • Ability to frame business problems as data science challenges and prototype effective solutions.
  • High intellectual curiosity and a passion for tackling complex technical problems.
  • Proficient communication skills—both verbal and visual—for sharing insights and driving impact.
Preferred Qualifications:
  • Ability to understand business challenges and formalize them into appropriate machine learning frameworks.
  • Familiarity with causal modeling frameworks and forecasting tools to drive predictive insights and strategic planning.
  • Experience gathering and manipulating large volumes of data, building datasets, and selecting/engineering model features.
  • Skill in developing, assessing, and iteratively improving predictive models using advanced machine learning and statistical methods.
  • Ability to debug and correct data assumptions through testing.
  • Strong collaboration skills to work effectively with business partners, program management, and engineering teams.
  • Good understanding of the travel industry and our data landscape.
  • Commitment to staying current with latest data science developments and sharing knowledge with the team.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award‑winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.

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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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