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- Tasks: Join our team as a Data Science Research Assistant, working on exciting projects in cultural analytics.
- Company: London Business School is a prestigious institution focused on management science and operations.
- Benefits: Enjoy competitive salary, mentoring opportunities, and access to research seminars in a vibrant academic community.
- Why this job: Make a social impact through data science while preparing for a Ph.D. in a supportive environment.
- Qualifications: Must have a BS/MS in data science or related field, with coding skills in Python or R.
- Other info: We encourage applications from under-represented groups to promote diversity in our faculty.
The predicted salary is between 28800 - 43200 £ per year.
London Business School: Subject Area: Management Science and Operations
Location
London, United Kingdom
Open Date
Jul 28, 2023
Description
The Management Science and Operations area at London Business School invites applications for a one-year full-time data science research assistant (RA) position. The RA will contribute to research projects under the supervision of Dr. Ali Aouad on applying data analytics to digital platforms with application to the cultural sector. Previous research in this area includes a collaboration with the Van Gogh Museum, where the research team developed a predictive model of visitor trajectories from multimedia guide data (see working paper here ). The idea is to develop a dynamic choice model for cultural experiences (such as a visit to the museum or a session on a streaming platform) and apply it to recommendation systems and algorithmic curation. The RA may support other research projects, including analyzing a food choice dataset in a low-income community. We strongly encourage applications from candidates passionate about data science for social good who wish to pursue a Ph.D. after a pre-doctoral research experience.
Qualifications
Applicants must have completed a BS/MS degree before the appointment in a data science field, which may include computer science, applied mathematics, econometrics, operations research, or a related field. They must demonstrate capabilities for writing code (Python or R), basic knowledge in mathematical modelling, and prior experience using libraries in statistics, machine learning, or operations research.
The position is funded by a research grant. We will offer a competitive salary depending on qualifications and full access to the LBS environment. The RA will benefit from the resources of the MSO community, which includes interactions with faculty and PhD students, mentoring opportunities, access to research seminars, etc.
London Business School is an equal opportunities employer, and as such, we welcome applications from women, black and other ethnic minority candidates who are under-represented in our faculty.
Application Instructions
Please apply on Interfolio attaching your CV and transcripts. We strongly recommend to provide a reference, and a sample scientific project and/or coding repository. For questions about the application process, please contact Zainab Mehr zmehr@london.edu and Ali Aouad aaouad@london.edu .
Candidates are encouraged to apply as soon as possible. We will continue reviewing applicants until the position is filled.
Application Process
This institution is using Interfolio\’s Faculty Search to conductthis search. Applicants to this position receive a free Dossieraccount and can send all application materials, includingconfidential letters of recommendation, free of charge.
London Business School is an Equal Opportunities Employer.
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Predoctoral - Data Science Research Assistant employer: London Business School
Contact Detail:
London Business School Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Predoctoral - Data Science Research Assistant
✨Tip Number 1
Familiarise yourself with the research projects led by Dr. Ali Aouad, especially those related to data analytics in the cultural sector. Understanding the specifics of these projects will help you engage in meaningful conversations during interviews and demonstrate your genuine interest.
✨Tip Number 2
Showcase your coding skills by preparing a small project or repository that highlights your proficiency in Python or R. This practical demonstration can set you apart from other candidates and provide a tangible example of your capabilities.
✨Tip Number 3
Network with current PhD students or faculty members at London Business School. Engaging with them can provide insights into the culture of the institution and may even lead to valuable recommendations or tips for your application.
✨Tip Number 4
Express your passion for data science for social good in your discussions. Highlight any relevant experiences or projects that align with this theme, as it resonates well with the values of the position and the institution.
We think you need these skills to ace Predoctoral - Data Science Research Assistant
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and expectations of the Data Science Research Assistant position. Familiarise yourself with the research projects mentioned in the job description, especially those related to data analytics in the cultural sector.
Tailor Your CV: Craft your CV to highlight relevant experience in data science, coding (Python or R), and any previous research projects. Emphasise your skills in mathematical modelling and familiarity with statistical libraries, as these are crucial for the role.
Prepare Supporting Documents: Gather all necessary documents, including your transcripts and a reference letter. If you have a sample scientific project or a coding repository, make sure to include that as well, as it can showcase your practical skills and experience.
Submit Your Application: Apply through Interfolio by uploading your CV, transcripts, and any additional documents. Ensure that everything is complete and accurately reflects your qualifications before hitting submit. Remember, early applications are encouraged!
How to prepare for a job interview at London Business School
✨Show Your Passion for Data Science
Make sure to express your enthusiasm for data science, especially in relation to social good. Discuss any relevant projects or experiences that highlight your commitment to using data analytics for impactful research.
✨Demonstrate Technical Skills
Be prepared to discuss your coding experience in Python or R. Bring examples of your work, such as a coding repository or a sample project, to showcase your technical abilities and familiarity with libraries in statistics and machine learning.
✨Understand the Research Context
Familiarise yourself with the research projects mentioned in the job description, particularly the collaboration with the Van Gogh Museum. This will help you engage in meaningful discussions during the interview and show that you are proactive in understanding their work.
✨Prepare Thoughtful Questions
Have a list of insightful questions ready to ask your interviewers. This could include inquiries about the research team's future projects, mentorship opportunities, or how the role contributes to the broader goals of the Management Science and Operations area.