At a Glance
- Tasks: Lead ML/AI projects and drive data-driven decisions for impactful initiatives.
- Company: Join Cancer Research UK, a leader in using data for social good.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and team development.
- Why this job: Make a real difference in cancer research while enhancing audience experiences.
- Qualifications: Strong background in data visualisation, coding, and stakeholder management.
The predicted salary is between 60000 - 80000 £ per year.
Cancer Research UK (CRUK) is looking for 2 Senior Data Scientists to drive data-driven decisions in their Marketing, Fundraising & Engagement team. These roles are critical for harnessing data and technology to enhance audience experiences, including high-impact projects like the London Marathon initiative.
The ideal candidates will lead ML/AI projects, develop data initiatives, and coach team members in modern methodologies. A strong background in data visualization and technical coding is essential, along with collaborative stakeholder management skills.
Senior Data Scientist - Lead ML/AI, MLOps and Analytics in London employer: Cancer Research UK (CRUK)
Cancer Research UK is an exceptional employer that champions innovation and collaboration, providing Senior Data Scientists with the opportunity to make a significant impact in the fight against cancer. With a strong commitment to employee development, a supportive work culture, and the chance to work on high-profile projects like the London Marathon initiative, CRUK fosters an environment where your skills can thrive while contributing to meaningful causes. Join us to be part of a team that values data-driven insights and empowers you to lead in ML/AI and analytics.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist - Lead ML/AI, MLOps and Analytics in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Cancer Research UK on LinkedIn. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your ML/AI projects, especially those related to data visualisation. We want to see how you can drive data-driven decisions and enhance audience experiences.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your coding skills and ML methodologies. We recommend doing mock interviews with friends or using online platforms to simulate the experience.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Data Scientist - Lead ML/AI, MLOps and Analytics in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with ML/AI projects and data visualisation, as these are key for us at CRUK. Don’t forget to mention any collaborative projects you've worked on!
Showcase Your Skills:In your application, be sure to showcase your technical coding skills and any relevant tools you’ve used. We want to see how you can lead data initiatives and coach others, so include examples that demonstrate your expertise.
Engage with the Mission:Let your passion for cancer research shine through in your application. We’re looking for candidates who resonate with our mission at CRUK, so share why you’re excited about using data to enhance audience experiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process. We can’t wait to hear from you!
How to prepare for a job interview at Cancer Research UK (CRUK)
✨Know Your Data Inside Out
Make sure you’re well-versed in the data tools and methodologies relevant to the role. Brush up on your experience with ML/AI projects and be ready to discuss specific examples where you've driven data-driven decisions, especially in marketing or fundraising contexts.
✨Showcase Your Technical Skills
Prepare to demonstrate your coding abilities and data visualisation skills during the interview. You might be asked to solve a problem on the spot, so practice common coding challenges and be ready to explain your thought process clearly.
✨Highlight Your Leadership Experience
Since this role involves coaching team members, think of instances where you’ve led projects or mentored others. Be prepared to share how you’ve fostered collaboration and innovation within a team, particularly in high-stakes environments like fundraising initiatives.
✨Engage with Stakeholders
Stakeholder management is key in this role. Prepare examples of how you’ve successfully collaborated with different teams or departments. Show that you can communicate complex data insights in an accessible way, making it clear how your work has positively impacted audience experiences.
