Data Scientist

Data Scientist London, England

Times Higher Education
Full Time London, England 36810 - 47797 GBP ANNUAL Today
Job description

The Company

The World University Insights Ltd, publisher of Times Higher Education, is the data provider underpinning university excellence in every continent across the world. As the company behind the world’s most influential university rankings, and with almost five decades of experience as a source of analysis and insight on higher education, we have unparalleled expertise on the trends underpinning university performance globally. Our data and benchmarking tools are used by many of the world’s most prestigious universities to help them achieve their strategic goals.

This is a great opportunity to help drive our ambitious growth plans in creating analytics to underpin our rankings, consulting, products, editorial and events. You will help to produce rankings and data products, as well as provide analytics to internal and external customers, all within a dynamic working environment. You will have access to subject matter experts across the organisation. The successful applicant will have the aptitude, attitude and gravitas to make this role their own. There is a strong focus on learning on the job, you will be working within a data science team of 7 people with over 80 years of data science experience between them who will be there to support your growth.

For more information on Times Higher Education please visit www.timeshighereducation.com

Key Tasks and Responsibilities

THE are looking for a full time Data Scientist who wants to roll their sleeves up and help create analytic solutions. You will be responsible for helping to produce a selection of our rankings and products, assisting with methodology and providing detailed analysis to support internal and external customers. You will be an advisor on related data analytics matters across the company, so the ability to communicate effectively with stakeholders across the business is paramount. While primarily working with colleagues in the UK, this also involves some working across time-zones, different cultures and companies.

Key role responsibilities:

Responsibilities will include (but are not limited to):

  • Writing code to produce rankings and related outputs from various input sources.
  • Creating detailed analysis of universities from their data.
  • Designing and producing visualisations and other presentations to provide insight to the THE editorial team and other customers.
  • Ensuring the quality, validity and applicability of the data collected for the rankings and associated products.
  • Working closely with the World University Rankings consulting, editorial and product. development teams to roll out these new analyses and features for new products and services.
  • Identifying and rolling out process improvements.
  • Building knowledge of global higher education and in particular data reporting practices.
  • Fulfilment of product customer orders.

Education and experience requirements

  • Minimum two years industry experience of working with real-world data
  • Experience in running non-trivial data analysis and delivering insights that answer internal or external requirements
  • Must have a focus on accuracy and quality throughout every stage of a project
  • Must have experience working with moderate-size datasets where data accuracy and reliability at the datapoint level is key
  • Experience of working with data that requires significant validation and modification before being consumed into code
  • Good knowledge of statistics as applied to data analysis
  • Degree in a numerate subject
  • Strong Python coding including NumPy and Pandas
  • Good SQL skills
  • Understanding of data collection and management of substantial datasets, and of the impact of data quality

Key attributes we are looking for

  • Curious, inquisitive, asks questions
  • Will take ownership of projects from start to finish
  • High attention to detail
  • Positive attitude and a good communicator
  • Structured approach to problem solving
  • Self-starter and completer-finisher attitude to managing work
  • Comfortable working outside of rigid structures and frameworks
  • Effective working in dynamic environments

THE are proud to be an equal opportunities employer. We recognise that we are all different. Great strength is born through different perspectives and experiences. That is why we are committed to our mission of creating an inclusive culture that enables our people to feel able to bring their whole selves to work. We are proud to be part of the Global Equality Collective and a mindful employer to help support THE achieve this.

Job Type: Full-time

Benefits:

  • Life insurance

Schedule:

  • Monday to Friday

Work Location: In person

Data Scientist
Times Higher Education

www.timeshighereducation.com
London, United Kingdom
Paul Howarth
Unknown / Non-Applicable
51 to 200 Employees
Company - Private
Colleges & Universities
Education
1971
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