Data Science Analyst, Ascential

• Excellent attention to detail
• 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 such as Random Forests, Neural Nets and Support Vector Machines
• 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

• 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
• This role is 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
• Partner with Business Managers (ie stakeholders) to align on requirements and develop both recurring and ad hoc reports to meet client needs, particularly the VP of Data Science, Director of Product Management, and the CTO
• 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

• Great learning and development opportunities
• Volunteering opportunities and charitable giving options
• Option to opt into the Ascential Shares Scheme
• 25 days of holiday - option to buy/ sell upto 5 days
• Pension
• Life Assurance and Income Protection
• Flexible benefits platform with options including Private Medical, Dental Insurance, Critical Illness and the Ascential Shares Scheme
• Employee assistance programme, season ticket loans and cycle to work scheme

Ascentia dates back to 1887 when it was founded as a newspaper investment company. Its shift into business analysis and optimisation can be traced to its acquisition of Glenigan, a provider of leads and information for the construction industry in 1996. This move has evolved into an umbrella of companies which are today listed on the London Stock Exchange and the FTSE 250 Index.