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

Apply Now

Data Scientist

Experteer Italy
City of London
3 days ago
Create job alert
Join Us

At Vodafone, we’re not just shaping the future of connectivity for our customers – we’re shaping the future for everyone who joins our team. When you work with us, you’re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.

What you’ll do

Key accountabilities and decision ownership :

  • Identification of data science / big data / analytics use cases for Network Operations and architectural High Level Design
  • Choice and implementation of the best machine learning algorithm suited to the use case
  • Industrialization of the use cases on Cloudera, Openshift/Kubernetes or on AWS/Google cloud environments, with the support of data engineers
  • Technical leadership in analysis and data management domains
  • Data-driven evaluation of vendor product adoption
Who you are

Core competencies, knowledge and experience:

  • Experience in Machine Learning SW development and data analysis
  • Experience in designing and implementing use cases over big data architectures involving massive data volume, also under real-time constraints
  • Knowledge of pros and cons of existing data storage technologies (relational DB, Big Data Frameworks, no-SQL DB on cloud and on prem)

Must have technical / professional qualifications:

  • Degree in Computer Science, Maths, Engineering or equivalent
  • Junior Profile with Experience in similar position (Max 2 years)
  • SQL, Python (Pandas, Tensorflow, Scikit-learn, and main other ML libs), Pyspark and SW development capabilities
  • Machine learning algorithms knowledge (NLP, Neural Networks., Random Forest, SVM, Anomaly Detection especially on time series, Gradient Boost and all other main ML models both supervised and unsupervised)
  • Knowledge of deployment best practices and DevOps pipeline
  • Excellent analytics and mathematics skills
  • Professional English (spoken and written)
Not a perfect fit?

Worried that you don’t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you’re excited about this role but your experience doesn’t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.

What’s in it for you

Body of content originally under this section has been preserved and presented here as part of the description. If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, please refer to for guidance.

Who we are

We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people\'s lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.

Belonging at Vodafone isn’t a concept; it’s lived, breathed, and cultivated through everything we do. You\'ll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. We’re committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.

If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to for guidance.

Together we can.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Data Scientist - Remote

Data Scientist - Tax & Legal

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.