Data Science Analyst

Informa Festivals marks an exciting new chapter in B2B events, bringing some of the world's most influential creative, technology and business festivals together. We’re combining prestigious brands like Cannes Lions, Black Hat, Money20/20 and London Tech Week with cutting-edge marketing intelligence platforms and advisory services to deliver unmissable experiences and insights.

Our festival-led approach reimagines traditional B2B events, creating powerful, immersive experiences that drive innovation and industry advancement. Building on decades of expertise and powered by Informa's international reach, we're shaping the next generation of business festivals.

We’re part of Informa, a global business with a network of trusted brands in specialist markets across more than 30 countries, and a member of the FTSE 100 who are #3 in Glassdoor's Best Places to Work 2025 UK list.

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 (i.e. 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 sayLifeAt.Informa.com

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 more
• Charitable 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 schemethat allows you to become an Informa shareholder with free matching shares
• Will 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.

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