Data Science Analyst

Key Roles and Responsibilities

• Drive commercial benefit and solve business problems using data • Build strong, collaborative relationships with stakeholders across Markerstudy Group • Explore large structured / unstructured data from a variety of sources • Explore, understand and visualise data using leading tools and technology • Maintenance of our Data Products, Frameworks and Tools • Understand End-to-End Data Science / Data Product lifecycles • Working with other Data Scientists, analytics professionals on Projects

What you can expect to be working on:

• Within the first 3 months you will gain knowledge of our data assets by creating actionable business insight from our data warehouse to build a strong foundation. Expect to be hands on using tools like Python / SQL , and working with large datasets within our Azure Cloud Platforms. • By the end of your first year, you will be competent in Python programming, our tools and frameworks, and working in many of our machine learning projects. You will have started to create a network of stakeholders. • By month 24 you will have had the opportunity to work on a wide variety of data products and understand the commercial applications e.g. Fraud, Claims, Debt, Digital personalisation. You will be skilled in Python (including real time coding) and SQL. • Throughout you will receive ongoing personal development with senior members of the team to advance your skills and help guide your future career progression.

Key Skills, Experience and Knowledge:

• Passionate and curious about data science, data. Love solving problems. • Strong communication skills, and the ability to “story-tell” to our stakeholders and customers, can adapt for audiences of varying technical abilities. • Strong numerical, a solid understanding of mathematical concepts and principles. • Resilience can work independently to deliver projects. • Proactively share insights, results and identify risks with the rest of the team. • Proficient at communicating results in a concise manner both verbally and written. • Experience using an analytical tool/language (Python, R or equivalent) or SQL • Hands-on experience of data analysis and communicating findings • Hands-on experience in the cloud platform and tools i.e. Azure, Azure Databricks, Azure Data Factory • Experience of using collaboration tools such as JIRA and Confluence • Experience of using version control software e.g. Git • Experience of running and deploying Azure DevOps pipelines would be advantageous

Behaviours:

• Works collaboratively and contributes positively as part of a team • Self-motivated with a drive to learn, develop and show ownership • Logical thinker with a professional and positive attitude • Passion to innovate and improve processes • Value differences and people from all walks of life, both colleagues and customers

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