Data Science Analyst

Informa PLC
London
3 weeks ago
Create job alert

Job Description

We're looking for aJunior/Mid-Level DS/ML Scientistto join our team inLondonas part of ourData Sciencefunction.

Your Role:This role involves a high degree of visibility to our entire organization and you will be expected to work toward developing end-to-end solutions that increase efficiency through automation or increase the quality of our offering to clients. 

Your role will be wide in scope allowing plenty of time for independent thinking and exploring solutions through exploratory data analysis as well as Data Science feature development for our Saas WARC product, working closely with product managers and software engineers to deploy solutions. At times you will be called to work as a data engineer and build functional, efficient, low-latency ETL pipelines for a feature prototype. Other times you will need to develop SQL queries after cleaning and preprocessing at times complex and unstructured data sets. Mostly you will work towards utilizing sophisticated algorithms and techniques to bring a high degree of accuracy to our machine learning model development and deployment. 

An example of some recent projects we have worked on include the following: 

AI Assistants for all our brands utilising advanced RAG applications based on LLM architectures.  A hybrid LSTM and Prophet time series forecasting model for advertising expenditures, capturing long-term and short-term trends, at the country, product category and advertising medium level on a quarterly basis. A cohort-based, collaborative filtering system (user-content matrix) for real-time, personalized content recommendations in customer and prospect marketing emails as well as customized home page experience.

Key Responsibilities 

Partner with Business Managers ( stakeholders)) to align on requirements and develop both recurring and ad hoc reports to meet client needs, particularly the Chief Digital Officer, Director of Data Science, Head of Product Management, and the Engineering VP.  Contribute software code regularly and ready for peer-review to cloud-based software development and version control repository, such as Github.  Develop scalable and efficient SQL queries and transform data from multiple sources to obtain a unique insight for Business Managers. Work autonomously and regularly to conduct extensive quality assurance to minimize issues with data or model accuracy, including model output, reports and ad hoc analyses.  Proactively troubleshoot issues in data accuracy in both the database environment and reports.  Identify, analyse, and interpret trends within data to predict outcomes based on business questions/problems and make recommendations to drive performance.  Communicate complex processes and present results in a clear manner to end users  Utilize Python to design, create, and support forecasting and modelling, contributing intellectually to advancement efforts as well as practically in generating quality code that contributes to our business objectives. Assist with data annotation, data wrangling, implementation of classifiers using machine learning techniques, validation and updating of these classifiers to ensure optimal performance.  Help serve as a Data Science ambassador always seeking to insert opportunities where technology, machine learning and data analysis can solve complex problems reliably.

Qualifications

Strong experience in working in a software engineering environment, generating quality code with reproducible data science outputs that can be distributed, shared and understood.  Strong experience in building, querying, and modifying relational databases such as SQL Server, Postgres, or MySQL and a demonstrated analytics and problem-solving abilities in the context of analyzing large, real-world datasets and model building with models such as gradient boosted tree algorithms, Deep Learning in particular transformer architectures.  Strong experience in working in cloud computing environments such as AWS (preferred), Google Cloud or Microsoft Azure.  Strong experience in developing software in Python and demonstrated ability to create machine learning models and new feature prototypes.  A Bachelors/ Masters in a quantitative field (Statistics, Research, Systems Engineering, Sciences, Maths, Economics etc) would be advantageous but not essential. Languages: Python & SQL (required). Visualization (one or more): Looker, Data Studio, Tableau. Understanding of ML concepts including embeddings/transformers, traditional ML models, Clustering algorithms.

Additional Information

We work hard to make sure Life at Informa is rewarding, supportive and enjoyable for everyone. Here’s some of what you can expect when you join us. But don’t just take our word for it – see what our colleagues have to say 

Our benefits include:

Annual leave:25 days per year with the option to buy or sell five extra days.Pension:Up to 5% matched pension, with our pension plan defaulting to sustainable options., meaning your savings are invested in ways that help rather than hinder our planet.Parental leave:Enhanced Primary and Co-parent parental leave once you have been with the company for 1 year+Health, fitness & wellbeing:Options to purchase Private Medical Insurance, Dental Insurance, Critical Illness & Health Screening. Get fit for less with discounted membership at 3,000+ of the UK’s top gym chains. Save money on fitness and beauty treatments at 2,500+ locations. Enjoy discounts on haircuts, spas, beauty salons, fitness and much moreCharitable giving:Make regular donations to your favourite charity and use an extra day of annual leave every year to volunteer to a cause you feel passionate about.Restaurant discount card:Receive up to 50% off your meal at 6,500+ top restaurants across the UK.Flexible working:We value output, not hours. Most of our roles ask for 3 days a week in your nearest office.Life assurance:Life assurance up to 4x basic salary, subject to eligibility and insurer’s underwriting.Employee Assistance Programme:Access to a 24-hour, free and confidential advice line that can provide mental health, financial and wellbeing support.Income protection:We provide income protection at 50% of salary, subject to eligibility and insurer’s underwriting.Recommend a friend:Know someone who could come make magic happen with us? Introduce your friends or family to Ascential and earn yourself a cash reward.ShareMatch:A scheme that allows you to become an Informa shareholder with free matching sharesWill writing service:Option to purchase an advanced or standard will as either a single or joint will. Paid via 12 Equal instalments via net dedications.Cycle to work:Select a brand new bike worth up to £2,500 and spread the cost over 12 months.Season ticket loan:We provide access to an interest free Season Ticket Loan of up to £10,000, tax-free

We’re not solely focused on a checklist of skills. We champion energy and ambition and look for colleagues who will roll their sleeves up, join in and help make things happen. If it sounds like a match and you have most – although not all – of the skills and experience listed, we welcome your application.

At Informa, you'll find inclusive experiences and environments where all perspectives and backgrounds are welcomed. As part of this approach and our diversity and inclusion commitments, we are also formally an Equal Opportunities Employer. This means we base decisions on relevant qualifications and merit and do not discriminate on the basis of key characteristics and statuses, including all of those protected by law. Ask us or see our website for full information.

See how Informa handles your personal data when you apply for a job .

Related Jobs

View all jobs

Data Science and Analytics Senior Business Analyst

Junior Data Analyst Intern

Data Analyst Intern

Principal Data Analyst

Lead Data Analyst

Data Analyst

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!