Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

EU CS Senior BIE , Data, Insights and Design

Amazon UK Services Ltd.
Edinburgh
1 year ago
Applications closed

Related Jobs

View all jobs

Machine Learning Manager - Applied ML (UK/EU)

Data Scientist / Data Analyst

Data Scientist / Data Analyst

Data Scientist / Data Analyst

Data Scientist / Data Analyst

Data Scientist / Data Analyst

Amazon's Customer Service (CS) department is seeking an experienced Business Intelligence Engineer Manager to join the team. Customer service is the heart of Amazon, our vision is to be "Earth's most customer-centric company; to build a place where people can come to find and discover anything they might want to buy online."

The successful candidate will be a key member of the EU CS Data, Insights & Design team (DID). The team mission is to shape the future of decision making using next generation analytics technologies, insights and improve the customer experience together with our EU business partners.

As the EU CS DID BIE, you will translate business problems into actionable business insights. You are an analysis expert who leverages a variety of data platforms and analytical tools to provide a holistic view of the customer experience. You build deep contextual and domain knowledge, ensure data quality and build scalable tools. You effectively communicate findings across a wide range of senior stakeholders.

This position can be located in any internal EU CS site.

Key job responsibilities
Responsibility includes but is not limited to:
- Able to take the lead on the technical solution to a complex and ambiguous business problem.
- Able to use statistical or graphical methods to calibrate and assess KPIs. Able to set alarms on metrics based on historical variance and calculate confidence intervals and statistical tests.
- Able to communicate your ideas effectively to achieve the right outcome for your team and customer.
- Work on large BI solutions and defining the team's BI strategy.
- Solutions are robust, extensible and scalable.
- Knows how to design and implement technical solutions with an appropriate analytics strategy and data set design.
- Understands system limitations, scaling factors, boundary conditions, and/or the reasons for technical decisions.
- Provides solutions that inform multiple team's business decisions.
- Drives best practices in operational excellence, data modelling, and analysis
- Communicate complex analytical insights and business implications effectively.

We are open to hiring candidates to work out of one of the following locations:

Edinburgh, SCB, GBR | London, GBR

BASIC QUALIFICATIONS

- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience using Cloud Storage and Computing technologies such as AWS Redshift, S3, Hadoop, etc.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience working directly with business stakeholders to translate between data and business needs
- Experience with data visualization using Tableau, Quicksight, or similar tools

PREFERRED QUALIFICATIONS

- Experience managing, analyzing and communicating results to senior leadership

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.