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

Apply Now

Senior Data Analyst - Content Indexing

Bloomberg
London
1 year ago
Applications closed

Related Jobs

View all jobs

Lead Data Scientist

Senior Data Scientist - Consumer Behaviour - exciting ‘scale up’ proposition

Principal Naval Architect

Principal Naval Architect

Principal Naval Architect

Principal Naval Architect

Senior Data Analyst - Content IndexingBloomberg runs on data. Our products are fueled by powerful information. Webine data and context to paint the whole picture for our clients, around the clock - from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes.

As a News Content Indexing Data Interpreter, you are the bridge that connects our technical aspirations with real world applications. You play a crucial role in ensuring the quality of our annotation data and developing our news classification systems to better serve our clients. Your role expands beyond ensuring automated classification systems for relevant financial and economic news articles. Collaborating with a range of teams, you will shape the product strategy specific to the global markets. Your insights will influence how we expand, ensuring that our product resonates well with our target audiences. Your understanding of data and markets makes you an invaluable asset to our dynamic team. Using proprietary and open-source software, you automate the retrieval, parsing, and classification of content from various sources, contributing to the improvement of Bloomberg's services. As we maintain our existing infrastructure, your role is central to our transition to models-based classification techniques.

We'll trust you to:

Collaborate with AI Engineering and Data Product teams to enhance news classification model features (Entity, Entity-Linking, Salience) Offer consultation to other data product teams on HITL annotation workflow adaptation for their processes Design a persistent annotation workflow and strategize quality assessment methods with AI Engineering and News Core Product teams Launch news functionalities bespoke for global users and identify unsupported functions for prioritization Collaborate with News Strategy, Sales, and News Product teams to decide on expansion strategies for the global markets Construct and implement improvement strategies for models/news functionalities to bridge identified gaps


You'll need to have:
Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

Bachelor's degree in subject areas such as Linguistics, Journalism, Library Science, Mathematics, Statistics, Data Science,puter Science 3+ years of relevant work experience
Knowledge of financial markets and concepts Problem solving skills and attention to detail Strong written and verbalmunication skills Proven understanding of customer service and experience in building strong relationships with partners Project management experience with the ability to deliver on tight deadlines

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.