Job Title: Senior Data Scientist, Academic

Salary: £42,000 - £56,800

Location: Cambridge,UK Hybrid working

Contract: Fixed term -12 months , Full time 35 hours per week

Come and join Academic's growing Data Analytics team. Our aim is to be delivering quality, reliable and timely analytics in support of the Cambridge University Press business strategy. But we are not quite there yet and need your experience and technical expertise to help us get there!

As an experienced data practitioner, you will be looking for an exciting new challenge in a fast paced and changing Academic landscape. We need an increasing range of analytics tools to help progress the business in its strategic vision. We need you to help us to bring efficiency and innovation in our approach to using data.

We are Cambridge University Press & Assessment, a world-leading academic publisher and assessment organisation and a proud part of the University of Cambridge.

About The Role

The Senior Data Scientist will be joining an existing team of analysts in Academic to help develop a function that supports the strategic aims of the Cambridge University Press brand with both descriptive and predictive analytics.

The Senior Data Scientist will:

Implement sound technical approaches to rebuilding a comprehensive set of predictive analytics tools.
Drive change.
Deliver trusted and excellent predictive analytics.
Demonstrate expert application of technical tools and languages as appropriate to the analytic capabilities needed.

You will enjoy challenges and empowering and motivating others in developing their technical skills. You will bring experience and knowledge to the team and be a positive advocate for learning and development among your team members.

About You

As an experienced Data Scientist with evidence of your involvement in predictive analytics projects you will be able to demonstrate your proficiency in SQL and Python and the interchange between them for managing complex extract, transform and load processes. Your recent work will include extracting data from data warehouses(Redshift/Cloudera) into analytics tools and development of both forecasting and what if analysis tools. Your experience of machine learning tools, statistical and algorithmic code development and code version management will be paramount to the success of your application and so a good demonstration of recent work in this area in your application would be an advantage.

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 are actively reviewing application and conducting interviews.Our application window closes on Friday 31st May however if we find the perfect candidate before then, we reserve the right to close this advert early.

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

Cambridge University Press & Assessment is an approved UK employer for the sponsorship of eligible roles and applicants under the Skilled Worker visa route. Please refer to the gov.uk website for guidance to understand your own eligibility based on the role you are applying for.

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 which embraces difference, change and aspiration.

Cambridge University Press & Assessment is committed to being a place where anyone can enjoy a successful career, where it's safe to speak up, and where we learn continuously to improve together. We welcome applications from all candidates, regardless of demographic characteristics (age, disability, educational attainment, ethnicity, gender, marital status, neurodiversity, religion, sex, gender identity and sexual identity), cultural, or social class/background.

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.

Cambridge University Press & Assessment jobs

Senior Data Scientist, Academic - 4663