Data Scientist

Data Scientist

Permanent

Newcastle upon Tyne

Sellick Partnership are assisting our long-standing client based in Newcastle upon Tyne to recruit for a Data Scientist on a permanent basis. This is a newly created role to work on projects for the organisation that make a real impact to their customers, joining a team that lead on analysing and reporting data for the business and providing customer insights.

The Data Scientist will play a crucial role in the business to harness new data science opportunities and methods.

Key Responsibilities:

• Working with other teams as part of the wider data function driving insights, data quality, data-led decisions and to drive business improvement.
• As the Data Scientist, you will work with the senior leadership team to deliver best analytical practices.
• Using data visualisation tools and statistical methodology to generate actionable insights, explore data and to identify trends.
• Developing new algorithms, leading innovation in AI and deep-learning to address business challenges.
• Translation of data into insights to inform business decisions.

Experience:

• Demonstratable knowledge and experience in a quantitative field such as mathematics, statistics, data science or computer science.
• Experience working with the application of machine learning techniques and working with large data-sets.
• Experience building reports in Power BI.
• Continual professional development in the latest developments in Data Science.
• The shaping and delivery of data strategies.
• Strong skills in SQL, Python or R for data analysis and model development.
• Competent user of visualisation and data manipulation tools.

This is a great time to join an organisation going through a major transformation programme in their newly formed Data Scientist role and be responsible for creating the Data Science discipline. Please get in touch with Adam Burgess at Sellick Partnership for more information.

Sellick Partnership is proud to be an inclusive and accessible recruitment business and we support applications from candidates of all backgrounds and circumstances. Please note, our advertisements use years’ experience, hourly rates, and salary levels purely as a guide and we assess applications based on the experience and skills evidenced on the CV.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Staffing and Recruiting

• Demonstratable knowledge and experience in a quantitative field such as mathematics, statistics, data science or computer science.
• Experience working with the application of machine learning techniques and working with large data-sets.
• Experience building reports in Power BI.
• Continual professional development in the latest developments in Data Science.
• The shaping and delivery of data strategies.
• Strong skills in SQL, Python or R for data analysis and model development.
• Competent user of visualisation and data manipulation tools.