Get recognition and reward working with this pioneering industry leader, as they embark on a transformative journey! The Data Scientist will drive internal data analytics projects serving all areas of the company. Investigations will vary from short preliminary explorations to deeper, longer-term studies.You will have the opportunity to work side by side with talented, motivated, and intellectually stimulating colleagues who thrive on helping the business solve the most pressing business opportunities.
Role & Responsibilities:Regular monitoring and analysing the performance of products, as required, at the macro, rating factor and agent in order to identify opportunities to optimise profitable growth through necessary changes.Statistical and/or machine learning modelling to optimise areas of the business.Train, validate, and fine-tune models using large datasets, ensuring high accuracy and reliability. Implement scalable solutions that can handle large volumes of data and adapt to changing business requirements.Continual improvement, monitoring and improvement of existing models.Ideally you will have:Expertise and hands-on experience with statistical modeling and machine learning software (Python, R, etc.).Advanced SQL.Familiarity with Gen AI technologies and a keen interest in staying abreast of industry advancements.Comfort with common applied ML strategies and ensemble methodologies.Passionate about storytelling with data. Ability to port analytics outcomes into interactive or presentation-based media (e.g., Tableau, Power BI).Understand technical basics of data visualization and common pitfalls. Ability to make clean, elegant, informative graphs.Exceptional written and verbal communication skills. Ability to present data science findings to sizable audiences of laymen and specialists alike.Ability to work collaboratively as part of a fast-paced, customer-oriented team.Desire to use or create standards, consider reusability, and have a long-term view while understanding short-term needs.Self-starter who provides ideas and solutions and understands various approaches within the BI discipline.Bachelor's degree or above (Areas of study/related study include: Economics, Statistics, Mathematics, Operations Research, and Marketing).Excel in and passionate about working with complex datasets and developing presentations using insights derived from the analytics.Highly analytical with strong problem-solving and critical thinking skills.Passion for using data to solve complex business questions and drive business solutions. #J-18808-Ljbffr