Job Description

Senior Data Scientist X 2

£46,000- £53,000plusbenefits

Reports to:Senior Manager Data Science and Automation

Directorate:​Marketing, Fundraising & Engagement​

Contract:​Permanent​

Hours:​Full time 35 hours per week​(we are open to flexible working requests such as compressed hours)

Location:​Stratford, London​​Office-based with high flexibility (1-2 days per week in the office)​

Closing date:09April202623:55

This vacancy may close earlier if a high volume of applications is received or once a suitable candidate is found, therefore we strongly recommend that you apply early to avoid disappointment.Please let us know if thereisanythingabout the recruitment process that you would like to discuss,in particular ifthere are any changes or adjustments that would make it easier for you to apply. Please contact recruitment@cancer.org.ukor 020 3469 8400 as soon as possible.

Visa sponsorship:You must be eligible to work in the UK to apply for this vacancy. Cancer Research UKis notable tooffer visasponsorship.

Recruitment process: 2 stage interview process including technical task at first stage

Interview date: Interviews are proposed for 23/24 April 2026

At Cancer Research UK, we exist to beat cancer.

We are looking for 2 Senior Data Scientists to joinourMarketingFundraising andEngagement (MFE) directorate,enablingdata drivendecisionsthat drive impact.

Cancer Research UK has a vision to bring about a world where everybody can lead longer, better lives, free from the fear of cancer. However, to achieve our mission and grow our funding, we must build even greater momentum and urgency around our cause, and engage and inspire millions of people in deeper, more meaningful ways to join our mission. Therefore, we have created a long-termEngage Strategyand designed a bold transformation programme which aims to better harness data and digitalmarketing technology to deliver more relevant, trusted, and frictionless experiences for our audiences (and in turn drive growth).

You’llbring strongexpertisein data visualisation tools,particularly Python,along with experience inMLOpsand the ability to translate complex insights into compelling stories.You’llwork across a wide variety ofhigh impactprojects within MFE, including our London Marathon initiative, wherewe’reusing machine learning toidentifythe supporters most likely to generate the greatest income.You’llalso support our Legacies team, which contributes a third of CRUK’s overall income, by developing forecasting models and analytical tools that help them plan confidently and maximiselong termvalue.

What will I be doing?

• Lead ML/AI projects with stakeholders across CRUK, working with key stakeholders to document ML/AIobjectivesand requirements.  

• Develop data and modelling initiatives,leveragingindustry best practice and internal compliance frameworks 

• Coach data scientists in ML/AI methodologies to enable knowledge growth amongst the team. 

• Implement models using a robust MLOPs process, from ingestion through modelling to on-going monitoring and performance 

• Ensure correct experimentation and measurement approach is implemented for all ML/AI initiatives 

• Deliver LLM capabilities into CRUK,ie summarisation tools, smart search 

• Collaborate with other team members to create a culture of high-performance, sharing knowledge in Python, via AWSSagemaker/Snowpark and other tools 

• Build, develop and manage relationships and share skills and learning with key stakeholders and networks to ensure the work of the department matches needs and builds capability. 

Whatarewelooking for?

• Related degree in computer science, mathematics, or related STEM field, or equivalent work experience within this field 

• Demonstrable hands-on skills and experience in technical coding language and data visualisation tools (e.g..SQL, Python, Snowflake,PowerBI, Databricks, GA), providing and implementing best practice guidance and standards.  

• Experience of using statistical analysis to understand and drive value from consumer behaviour, including setting up supervised & unsupervised learning models, covering data cleaning, data analytics, feature creation, model selection, performance metrics & visualisation  

• Hands-on experience applyingMLOpsprinciples (e.g. Snowpark,MLFlow,Github)  

• Experience in creating and developing high performing experimentation analytical support (test and learn, multivariate tests, ML optimisation, automations).  

• Experience in a large-scale organisation within a matrixed environment, where essential skills include influencing and managing stakeholders to bring data science to life

• Understanding of recommendation systems would be beneficial butisn’tessential  

Our organisation values are designed to guide all that we do

Bold: Act with ambition,courageand determination  

Credible: Act with rigour and professionalism   

Human Act to have a positive impact on people  

Together: Act inclusively and collaboratively

We’relooking for people who can believe in and embody these organisation values and can use them to drive forward progress against our mission to beat cancer.

Ifyou’reinterested in applying and excited about working with us but are unsure if you have the right skills andexperiencewe’dstill love to hear from you.

What will I gain?

Wecreate a working environment that supports your wellbeing andprovide agenerous benefits package, a wide range of career and personal development opportunities and high-quality tools Ourpolicies and processes enable you toimprove your work-life balance, take positive steps in your career and achieve your personal wellbeing goals.

You can explore our benefitsby visitingourcareers web page

How do I apply?

Weoperatean anonymised shortlisting process in our commitment to equality,diversityand inclusion. CVs arerequiredfor all applications; but wewon’tbe able to view them until we invite you for an interview. Instead, we ask you to complete the work history section of the online application form for us to be able to assess you fairly and objectively.

For more information on this career opportunity please visit our websiteor contact us at recruitment@cancer.org.uk  

For more updates on our work and careers, follow us on: Linked In, Facebook, Instagram, Xand YouTube

Our vision is to create a charity where everyone feels like they belong, benefits from and participates in, the work we do. We actively encourage applications from people of all backgrounds and cultures, in particular those from ethnic minority backgrounds who are currently under-represented.

We want to see every candidate performing at their best throughout the job application process, interview process and whilst at work. We therefore ask you to inform us of any concerns you have or any adjustments you might need to enable this to happen. Please contact recruitment@cancer.org.uk or 020 3469 8400 as soon as possible.

Unfortunately, we are unable to recruit anyone below the age of 18, so that we can protect young people from health & safety and safeguarding risks.