Senior Applied Scientist, EU Ops Concessions

TN United Kingdom; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a motivated Senior Applied Scientist to join their EU Ops Concessions team in London. This role focuses on leveraging advanced analytics and machine learning to enhance customer experiences within Amazon's operations. As a key contributor, you will develop cutting-edge algorithms and collaborate with diverse stakeholders to tackle complex business challenges. Ideal candidates will possess a PhD and a strong background in machine learning and computer vision. Join this forward-thinking team and make a significant impact on the future of operations at one of the world's leading companies.

Qualifications

• PhD required in relevant fields like Operations Research or Statistics.
• Experience in programming languages such as Java, C++, and Python.

Responsibilities

• Develop algorithms to identify operational defects using analytics.
• Engage with stakeholders to design models addressing business challenges.

Skills

Machine Learning

Computer Vision

Programming in Java

Programming in Python

Neural Deep Learning

Statistical Analysis

Operations Research

Education

PhD in Operations Research

PhD in Statistics

PhD in Engineering

PhD in Supply Chain

Tools

R

scikit-learn

Spark MLLib

MxNet

Tensorflow

numpy

scipy

Hadoop

Spark

Job description

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Senior Applied Scientist, EU Ops Concessions, London

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Client:

Amazon UK Services Ltd.

Location:

London, United Kingdom

Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

af6c17edd490

Job Views:

4

Posted:

01.05.2025

Expiry Date:

15.06.2025

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Job Description:

The EU Ops Concessions team is looking for a motivated, creative and customer obsessed Snr. Applied Scientist with a strong machine learning background, to develop advanced analytics models (Computer Vision, LLMs, etc.) that improve customer experiences.

We are the voice of the customer in Amazon’s operations, and we take that role very seriously. If you join this team, you will be a key contributor to delivering the Factory of the Future: Leveraging Internet of Things (IoT) and advanced analytics to drive tangible, operational change on the ground. This role will combine Amazon’s oldest Leadership Principle, with the latest analytical innovations, to deliver real impact

Every position at Amazon offers the opportunity for employees to influence business decisions and shape the future, but as a Snr. Applied Scientists you will be at the vanguard of developing analytics that drive business change at scale and efficiently. You will collaborate with a wide range of stakeholders across the business to develop and refine new ways of understanding business challenges within operations. This is your opportunity to have a big impact on some of the most exciting new ideas that are shaping the future of Amazon.

Key job responsibilities
You will work with Operations stakeholders to develop models and analysis to drive down the negative impact of operations on Amazon customers' experiences.

Ideal candidate will be a high potential, strategic and analytic graduate with a PhD in (Operations Research, Statistics, Engineering, and Supply Chain) ready for challenging opportunities in the core of our world class operations space. Great candidates have a history of research, and the ability to use data and research to make changes.

This role requires robust program management skills and research science skills in order to act on research outcomes. This individual will need to be able to work with a team, but also be comfortable making decisions independently, in what is often times an ambiguous environment.

Your role will be to:
- Develop innovative algorithms to identify operational defects using advanced analytics techniques
- Engage with cross-disciplinary stakeholders to conceive and design effective models to address business challenges
- Communicate with various internal stakeholders and external audiences

BASIC QUALIFICATIONS

- PhD
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning
- Experience in building machine learning models for business application
- Experience in Computer Vision modelling and techniques

PREFERRED QUALIFICATIONS

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- Experience with large scale distributed systems such as Hadoop, Spark etc.