At a Glance
- Tasks: Conduct global research on AI and emerging tech, producing impactful reports and case studies.
- Company: Join GSMA London, a leader in tech innovation for development.
- Benefits: Gain valuable experience, work remotely, and contribute to meaningful projects.
- Other info: Collaborative team environment with opportunities for growth and learning.
- Why this job: Make a difference in LMICs by driving responsible AI innovations.
- Qualifications: Research skills and a passion for technology and development.
The predicted salary is between 29700 - 36300 £ per year.
GSMA London is seeking a researcher and technical generalist for the Emerging Tech team to develop analytical work on AI and emerging technologies for development, identifying gaps, risks and opportunities for responsible AI innovations in LMICs.
You will conduct global research, define project scopes, and produce policy reports, blogs and case studies for public dissemination, collaborating with internal teams to ensure coherent messaging and impact.
Impact-Driven AI & Emerging Tech Researcher (LMICs) employer: GSMA LLC
The GSMA is an exceptional employer, offering a dynamic work environment in London that fosters innovation and collaboration. With a strong commitment to employee development, generous holiday allowances, and a focus on diversity and inclusivity, the GSMA ensures that its team members thrive both personally and professionally. The hybrid working model and architect-designed offices further enhance the work-life balance, making it an ideal place for those looking to make a meaningful impact in the mobile technology sector.
StudySmarter Expert Advice🤫
We think this is how you could land Impact-Driven AI & Emerging Tech Researcher (LMICs)
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Impact-Driven AI & Emerging Tech Researcher (LMICs)
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 GSMA LLC, 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 GSMA LLC. 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 GSMA LLC
✨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!
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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 GSMA LLC!
✨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.
