Data Science Analyst

Were looking for a Junior/MidLevel DS/ML Scientist to join our team in London as part of our Data Science function.

Your Role: This role involves a high degree of visibility to our entire organization and you will be expected to work toward developing endtoend 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 lowlatency 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 longterm and shortterm trends at the country product category and advertising medium level on a quarterly basis.
• A cohortbased collaborative filtering system (usercontent matrix) for realtime 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 peerreview to cloudbased 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 problemsolving abilities in the context of analyzing large realworld 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. Heres some of what you can expect when you join us. But dont 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 Coparent 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 3000 of the UKs top gym chains. on fitness and beauty treatments at 2500 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 6500 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 insurers underwriting.
• Employee Assistance Programme: Access to a 24hour 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 insurers 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 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 2500 and spread the cost over 12 months.
• Season ticket loan: We provide access to an interest free Season Ticket Loan of up to 10000 taxfree

Were 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 youll 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  here.

Remote Work :

No

Employment Type :

Fulltime