principal data scientist Work, Jobs in edgware, gtl (with Salaries)

Principal Data Scientist
RELX —London
- Full-time
- Machine learning
Principal Data Scientist
marshmallow —London
- Full-time
- Hybrid work
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Principal Data Scientist
RELX Group —London
- Full-time
- Machine learning
Principal Data Scientist
LexisNexis Risk Solutions —London
- Full-time
- Machine learning
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Stantec —High Wycombe
- Hybrid work
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Lendable —London
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AWTG —London
- Machine learning
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- Full-time
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Sky —London
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Trainee Healthcare Scientist (Echocardiographer)
Guy's and St Thomas' NHS Foundation Trust —Uxbridge
- £45,953 - £54,254 a year
- Full-time
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Hiscox —London
- Full-time
- Master's degree
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Pharmaron —Hoddesdon
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Principal Data Scientist
Faculty —London
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TripAdvisor —London
- Master's degree
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Cabinet Office —London
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Principal AI Data Scientist
Anaplan —London
- Azure
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Quick apply
Principal Scientist PK/PD
UCB —Slough
- Doctoral degree
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Wise Australia Investments —London
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4d
Senior Data Scientist
Informed Solutions —London
- Hybrid work
- Azure
- Doctoral degree
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- Referral programme
Quick apply
Chemistry Principal Scientist
Substrate Bio —London
- Full-time
- Hybrid work
- Doctoral degree
- AI
- Annual leave
Quick apply

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Principal Data Scientist

RELX -
London

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Job details

Full-time

Qualifications

Machine learning
Natural language processing
Data pipeline
Predictive analytics
Data science

Full job description

Are you excited to apply advanced analytics and machine learning to real‑world aviation challenges?

Would you like to shape best practices and mentor others while remaining hands‑on with high‑impact data science work?

About the Business
At Cirium, our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions, and many more accelerate their own digital transformation.

About our Team
Propulsion Labs is Cirium’s innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration.

About the Role
As a Principal Data Scientist, you will be a senior individual contributor who brings deep technical expertise while shaping best practices across the data science community. You will work closely with partners across product, engineering, and the business to design and deliver data‑driven solutions. This role combines technical leadership, collaboration, and hands‑on development to solve complex, real‑world problems in aviation analytics.

Responsibilities

Act as a technical authority for advanced analytics, machine learning, and generative AI, defining and evolving best practices for scalable and robust solutions
Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics
Mentor and coach data scientists, supporting continuous learning and technical excellence
Collaborate with product managers, engineers, and domain experts to align data science initiatives with business goals
Translate complex technical insights into clear, actionable recommendations for stakeholders
Lead by example through hands‑on coding, modelling, and solution design
Design, prototype, and validate innovative approaches to high‑impact problems
Partner with engineering teams to deploy models into production environments

Requirements

Strong experience working with large, complex, real‑world datasets, ideally in aviation or related industries
Expertise in data wrangling, feature engineering, and building scalable data pipelines
Deep expertise in at least one advanced analytics area, with experience across several of the following: predictive modelling on tabular data, deep learning, NLP and large language models, generative AI pipelines, simulations, graph‑based models, time‑series forecasting, geospatial modelling, causal inference, reinforcement learning, optimisation, or anomaly detection
Proven experience deploying, or partnering to deploy, customer‑facing machine learning systems into production
Ability to collaborate across disciplines and communicate technical concepts to non‑technical audiences

Risk benefit statement

Learn more about the LexisNexis Risk team and how we work here

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principal data scientist jobs in edgware, gtl

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