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

Apply Now

Senior Data Scientist London - Commercial

Economist Group
London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist London, United Kingdom

Sr Data Scientist (London)

Senior Data Scientist - CSAT & Quality Analytics (Hybrid)

Senior Data Scientist — Infrastructure AI & Analytics (Hybrid)

Senior Data Scientist - Growth London

Senior Data Scientist - Insights | London hub

We are an organisation that exists to drive progress. That's the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.

We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity.

Introduction

The Economist is seeking an experienced Data Scientist to join our Data Science Team. Our Data Science Team is a central source of data skills working across all commercial teams in the business. Reporting to the Head of Data Science you will be leading the application of data science across the business including predictive modelling, NLP and content recommendation.

We believe that data science can bring us a better understanding of our customers’ needs, opportunities to improve their experience and a clearer view of what is driving our business performance. In this role you will help advance The Economist’s data science capability, bringing projects to production and cementing the role of data science in the way our business operates. You will be doing hands-on data science work with a variety of datasets. You will be directly speaking to stakeholders across the business to understand their needs and explain your work, while collaborating with data engineers, insight analysts and researchers to deliver projects cross-functionally.

We believe data science is essential to the success of our business. This role is an opportunity to apply data science to make a real difference to The Economist’s business.

Accountabilities

How will you contribute?

  • Identify and lead high-impact data science projects aligned with business goals
  • Collaborate with stakeholders to define project scope, success metrics and delivery plans
  • Design and implement advanced models using machine learning and statistical methods
  • Guide the team in delivering production-grade solutions in partnership with data engineering
  • Champion best practices in model development, evaluation and deployment (MLOps)
  • Communicate results and recommendations clearly to senior stakeholders across the business
  • Mentor junior members of the team and contribute to team development and technical standards
  • Help shape the roadmap for data science at The Economist

Experience, skills and professional attributes

The ideal skills for this role are:

  • Extensive experience as a data scientist, with a track record of delivering projects in digital customer-facing environments
  • Deep understanding of statistical modelling, machine learning and natural language processing
  • Expertise in applying Generative AI to enhance traditional natural language processing tasks, prompt engineering, integrating LLMs into machine learning workflows
  • Strong Python skills and familiarity with libraries such as scikit-learn, pandas, NumPy, PyTorch or TensorFlow
  • Advanced SQL skills and experience working with complex, high-volume datasets
  • Practical experience with MLOps tools and practices for deploying and maintaining models
  • Experience leading projects and collaborating across cross-functional teams
  • Ability to influence stakeholders and communicate complex ideas clearly to non-technical audiences
  • A rigorous, detail-oriented approach to scientific and technical work
  • Comfort working independently in fast-paced, ambiguous situations, with a proactive mindset
  • A passion for using data to make a measurable difference to business performance

#LI-Hybrid

What we offer

Benefits
We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered.

Our Values
Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world.

Independence
We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world.

Integrity
We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency.

Excellence
We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation.

Inclusivity
We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully.

Openness
We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood.

The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status.

Create a Job Alert

Interested in building your career at The Economist Group? Get future opportunities sent straight to your email.

Apply for this job

indicates a required field

First Name *

Last Name *

Preferred First Name

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

LinkedIn Profile

Website

Are you legally authorised to work in the country in which the role you are applying for is based? * Select...

Will you now or in the future require sponsorship to work in the country in which the role you are applying for is based?If yes, please specify what sponsorship you believe you may require.

What is your desired base annual salary? Please include the currency. *

What is your notice period? *

Are you capable of performing the essential functions of the job for which you are applying, either with or without a reasonable accommodation? * Select...

We are committed to building and retaining a diverse and inclusive workforce. If youbelieve you may require accommodations or adjustments at any stage to your hiring process due to disability or neurodivergence, sincerely held religious beliefs or if you require pregnancy-related support, please indicate so below. Should you be invited for any further hiring processes you will be reached out to confidentially for support. Select...

Please indicate "yes" if you may require support.

Are you subject to a restrictive covenant, non-competition or confidentiality agreement which limits your right or ability to accept employment or perform similar duties for or on behalf of a new employer? * Select...

If you have answered yes to the above question, you may be required to submit a copy of the agreement prior to the receipt of any offer of employment.

Are you a current or previous employee of The Economist Group? * Select...

If you are a current TEG employee, please apply via the internal careers page.

Recruitment Privacy Policy Acknowledgement * Select...

Further information about how your personal data is going to be processed by the Economist Group according to our privacy policy can be found here.


#J-18808-Ljbffr

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.