Job Description

Role DescriptionWe’re building a team that loves trying new things and exploring fresh ways to model data. In this role, you’ll have the freedom to experiment there are no strict boundaries on the types of models you create. Big ideas and blue-sky thinking? Absolutely encouraged.You’ll get to see your work through the whole journey: from the first spark of an idea, to deployment, and finally measuring real-world impact. It’s hands-on, practical data science with plenty of room for creativity.We’re looking for people who know their stats inside out and have a knack for coming up with innovative solutions. If you enjoy pushing the limits and turning ideas into something tangible, we’d love to hear from you.Company DescriptionHastings Direct is a fast-growing, digitally focused general insurance provider in the UK, offering straightforward products and services for car, van, bike, and home insurance customers. The company has strong relationships with major price comparison websites, a cost-effective digital marketing model, and a focus on customer retention. Hastings Direct has won multiple awards and currently serves over 2.7 million customers with over 3,400 employees.QualificationsData Science and Statistics skills, including experience and expertise in machine learning algorithms, mathematical modelling, and optimization algorithmsData Analysis and Data Analytics skills, with experience using tools such as Python and SQL, and proficiency in data retrieval, data cleaning, and data transformation techniquesPhD or Master's degree in a quantitative field such as Mathematics, Statistics, Computer Science, physics or related fieldExcellent written and verbal communication skills to collaborate with different stakeholders to drive business decisionsStrong attention to detail, problem-solving skills, and collaborative mindset, and ability to work with large datasetsExperience with Azure, Python is a plus

Job Application Tips

  • Tailor your resume to highlight relevant experience for this position
  • Write a compelling cover letter that addresses the specific requirements
  • Research the company culture and values before applying
  • Prepare examples of your work that demonstrate your skills
  • Follow up on your application after a reasonable time period

You May Also Be Interested In