At a Glance
- Tasks: Lead global AI and digital strategy to enhance programme delivery and decision-making.
- Company: Join Save the Children International, a leader in humanitarian efforts.
- Benefits: Competitive salary, international travel opportunities, and impactful work.
- Other info: Opportunity to drive culture change and engage with diverse teams globally.
- Why this job: Shape the future of AI in a mission-driven organisation making a difference.
- Qualifications: Experience in AI, data management, and leadership skills required.
The predicted salary is between 70000 - 90000 £ per year.
Save the Children International is seeking a Senior Lead, AI, Digital and Data Capacity Development to consolidate AI, data and digital capabilities across a global team.
The role focuses on setting strategic direction, governance and adoption of AI tools to improve programme delivery and decision making.
You'll lead cross-functional engagement, chair senior forums, oversee training, and drive culture change to maximise responsible use of AI.
International travel up to 20% may be required.
#J-18808-Ljbffr
Global Lead, AI, Data & Digital Capability in England employer: Save the Children International
Save the Children International is an exceptional employer that prioritises diversity, equity, and inclusion, fostering a supportive work culture where every voice is valued. With a hybrid work pattern, employees enjoy flexibility while contributing to meaningful initiatives that impact children's lives globally. The organisation also offers ample opportunities for professional growth and development, making it an ideal place for those seeking a rewarding career in the non-profit sector.
Contact Details:
Save the Children International Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Global Lead, AI, Data & Digital Capability in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Save the Children International!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Global Lead, AI, Data & Digital Capability at Save the Children International.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Save the Children International.
✨Apply Directly through Our Website
When you find a suitable opening like Global Lead, AI, Data & Digital Capability at Save the Children International, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Global Lead, AI, Data & Digital Capability in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Save the Children International, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Save the Children International. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Save the Children International
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Save the Children International!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
