Data Scientist

Cambridge University Press & Assessment; United Kingdom; Hybrid; GBP 34,000 - 45,000; Part time

Job summary

Join Cambridge University Press & Assessment as a Data Scientist, where you'll be part of a dynamic team dedicated to tackling complex challenges using advanced data techniques. This role involves developing data-driven solutions, analyzing large datasets, and collaborating with cross-functional teams, all within a hybrid working environment. Enjoy competitive salary and comprehensive benefits, including generous leave and health coverage, while contributing to the mission of enhancing education worldwide. Applications are ongoing, so seize the opportunity to realize your potential.

Benefits

28 days annual leave plus bank holidays

Private medical and Permanent Health Insurance

Discretionary annual bonus

Group personal pension scheme

Life assurance up to 4 x annual salary

Green travel schemes

Qualifications

• Relevant STEM-related BSc degree or equivalent experience.
• Professional experience in ML/NLP tools, coding in Python, and statistical analysis.
• Strong analytical skills and ability to work collaboratively.

Responsibilities

• Develop and implement data-driven solutions to support the organization's goals.
• Analyse large and complex datasets from various sources.
• Collaborate with stakeholders to translate business problems into data science projects.

Skills

Machine Learning

Data Analysis

Python

Statistical Analysis

SQL

Data Visualization

Critical Thinking

Education

BSc in a relevant STEM field

Tools

PyTorch

Scikit-learn

R

SAS

Spark

Job description

Job Title: Data Scientist

• Salary: £34,500-£44,850
• Location: Cambridge/ Hybrid
• Contract: 6-month fixed term contract /secondment

Become part of an organisation that is improving the lives and prospects of people all around the world. We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

Join a team of passionate data scientists and data architects working together to overcome complex organisation-wide data and technology challenges.

As a data scientist, your natural inquisitiveness will be welcomed, and you are encouraged to experiment, try new things, and be empowered to bring your solution ideas to the table! In an across-functional team, you will be working to deliver practical outcomes that support learners, teachers, researchers, and academics.

About the role

This role plays an integral part in the delivery of the organisation's data strategy and the development of data-driven solutions.

• The key role assists in the development and implementation of data-driven solutions.
• You will collect, process, and analyse large and complex data sets from a variety of sources, including assessment and publishing data.
• Work collaboratively with stakeholders in the translation of business problems into data science projects.
• Create optimal designs, prepare, and manipulate data, and perform analytics to understand and be able to implement a range of data science techniques.
• Ensure the data capability is fit for purpose to support the organisation's goals.

About you

You will have a relevant STEM-related BSc degree or equivalent qualification, or other evidence of equivalent knowledge.

Professional or research experience in some of the following:

• ML/NLP tools like PyTorch, Scikit-learn, Transformer architecture, and Neural Networks.
• Coding and software engineering in mainstream programming languages, such as Python.
• Statistical packages for data manipulation and in the development of predictive and prescriptive models (e.g., R, SAS).
• Exploratory data analysis and manipulation of large datasets using SQL and Spark.
• Data cleansing, Data visualisation.
• Application of Generative AI, knowledge graphs, and Large Language Models.

Have strong analytical, problem-solving, and critical thinking skills. Be a natural self-starter, confident at networking with cross-functional teams. Use working knowledge of standard data science and machine learning methods, techniques, best practices, and technology, through guidance in practical application.

If you would like to know more about this opportunity and what will make you successful, please see the full job description attached to the bottom of this vacancy on our careers site.

Rewards and benefits

We will support you to be at your best in work and to live well outside of it. In addition to competitive salaries, we offer a world-class, flexible rewards package, featuring family-friendly and planet-friendly benefits including:

• 28 days annual leave plus bank holidays
• Private medical and Permanent Health Insurance
• Discretionary annual bonus
• Group personal pension scheme
• Life assurance up to 4 x annual salary
• Green travel schemes

We are a hybrid working organisation, and we offer a range of flexible working options from day one. We expect most hybrid-working colleagues to spend 40-60% of their time at their dedicated office or location. We will also consider other work arrangements if you wish to work more flexibly or require adjustments due to a disability.

Ready to pursue your potential? Apply now.

We review applications on an ongoing basis, with a closing date for all applications being 23^rd June. As part of the interview process, please expect to receive a technical assessment from the week commencing the 23rd to complete. Upon being selected for the next stage, you will be invited to an interview.

Please note that successful applicants will be subject to satisfactory background checks including DBS due to working in a regulated industry.

Why join us

Joining us is your opportunity to pursue potential. You'll belong to a collaborative team that's exploring new and better ways to serve students, teachers, and researchers across the globe – for the benefit of individuals, society, and the world. Sharing our mission will inspire your own growth, development, and progress, in an environment that embraces difference, change, and aspiration.

Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where everyone has a voice, and where we learn continuously to improve together. Ensuring that everyone feels they belong is essential to who we are, and to the contribution we make to society and our planet.

We believe better outcomes come through diversity of thought, background, and approach. We welcome applications from people from all backgrounds and communities, actively seeking to employ people from a wide range of different communities.