At a Glance
- Tasks: Build and maintain large-scale data infrastructure for groundbreaking research on democracy in Africa.
- Company: University of Bristol, collaborating with the Jean Golding Institute for Data and AI.
- Benefits: Engaging work environment, opportunities for professional development, and involvement in impactful research.
- Other info: Ideal for those passionate about democracy and eager to contribute to significant research projects.
- Why this job: Make a difference in political science while honing your data skills in an interdisciplinary team.
- Qualifications: Experience in data-intensive environments and strong technical skills in Python, R, SQL, or Spark.
The predicted salary is between 35000 - 45000 £ per year.
The School of Sociology, Politics and International Studies (SPAIS) at the University of Bristol, in collaboration with the Jean Golding Institute for Data and AI, is seeking to appoint a Senior Research Associate to join the European Research Council‑funded project Political Parties in Africa and Democracy (PPADEM). This international collaboration examines the role political parties play in democratic progress and decline across Africa through one of the largest empirical studies of political parties ever undertaken.
The successful candidate will join a collaborative team of political scientists and data scientists, contributing to innovative interdisciplinary research at the intersection of computational methods and political analysis.
What will you be doing?
- You will play a leading role in building and maintaining large‑scale data infrastructure to support the project's research objectives. This will include designing automated pipelines to collect, clear, and manage data from social media platforms such as Facebook, X, Instagram, and TikTok, alongside interrogating additional political and electoral datasets.
- You will help develop scalable data warehouse solutions that support sophisticated cross‑country and cross‑party analysis while ensuring compliance with GDPR, ethical standards, and data governance requirements.
- Working closely with colleagues across SPAIS and the Jean Golding Institute, you will contribute technical expertise to interdisciplinary research design, translating substantive political questions into computational workflows and analytical tools.
- You will support the operationalisation of FAIR (Findable, Accessible, Interoperable, and Reusable) data principles across the project lifecycle and produce technical documentation to support collaboration and long‑term sustainability of the datasets.
- The role also includes contributing to research publications and reports, particularly regarding computational methods and data structures, and developing your own research interests within the broader aims of the project.
- In collaboration with the Jean Golding Institute, you will also support the delivery of data science training activities and may have opportunities to contribute to postgraduate teaching and supervision.
You should apply if you have:
- Experience working in computational, data‑intensive, or technically focused environments and are excited by the opportunity to apply these skills to major political and social research questions.
- Strong technical skills in areas such as Python, R, SQL, Spark or related data engineering tools, alongside experience developing data pipelines, research workflows, or data warehouse solutions.
- The ability to work effectively across disciplines and communicate complex technical concepts to a range of audiences.
- Excellent organizational skills, adaptability, and capability of managing multiple priorities while maintaining attention to detail.
- Experience working with social media datasets, research projects within higher education, or interdisciplinary collaborations would be advantageous, as would an understanding of FAIR data principles, research governance, and data security requirements.
This role would particularly suit someone who is intellectually curious, collaborative, and motivated to contribute to an internationally significant research programme focused on democracy, elections, and political parties across Africa.
JGI Data Scientist in Bristol employer: University of Bristol
The University of Bristol, in partnership with the Jean Golding Institute for Data and AI, offers an exceptional work environment for the JGI Data Scientist role, fostering a culture of collaboration and innovation. Employees benefit from access to cutting-edge research projects, opportunities for professional development through training and teaching, and a commitment to interdisciplinary approaches that enhance both personal and academic growth. Located in a vibrant city known for its rich cultural heritage and academic excellence, this position provides a unique chance to contribute to impactful research while enjoying a supportive and dynamic workplace.
StudySmarter Expert Advice🤫
We think this is how you could land JGI Data Scientist in Bristol
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the project or similar research areas. Attend events, webinars, or even casual meet-ups to make those connections that could lead to job opportunities.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python, R, or SQL. This is your chance to demonstrate how you can tackle complex political questions with your technical expertise.
✨Tip Number 3
Prepare for interviews by brushing up on interdisciplinary communication. You’ll need to explain your technical work to non-technical folks, so practice breaking down complex concepts into simple terms. It’s all about making your skills relatable!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about finding the right fit for our team, and applying directly helps us see your enthusiasm. Plus, it’s a great way to stay updated on any new opportunities that pop up!
We think you need these skills to ace JGI Data Scientist in Bristol
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your technical skills in Python, R, SQL, or any relevant data engineering tools, and don’t forget to mention your experience with social media datasets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how your background aligns with the project’s goals. Show us your passion for political analysis and interdisciplinary research.
Showcase Your Projects:If you've worked on relevant projects, whether in academia or industry, make sure to include them. Describe your role in building data pipelines or managing large datasets, and how these experiences prepare you for this position.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at University of Bristol
✨Know Your Data Tools
Make sure you brush up on your technical skills, especially in Python, R, SQL, and Spark. Be ready to discuss how you've used these tools in past projects, particularly in building data pipelines or managing large datasets.
✨Understand the Project's Goals
Familiarise yourself with the Political Parties in Africa and Democracy (PPADEM) project. Understand its objectives and how your role as a Data Scientist fits into the bigger picture. This will show your genuine interest and help you articulate how you can contribute.
✨Prepare for Interdisciplinary Collaboration
Since this role involves working with political scientists, be prepared to discuss how you can communicate complex technical concepts to non-technical audiences. Think of examples where you've successfully collaborated across disciplines in the past.
✨Showcase Your Organisational Skills
Highlight your ability to manage multiple priorities and maintain attention to detail. Prepare examples that demonstrate your organisational skills, especially in fast-paced or data-intensive environments, as this is crucial for the role.