At a Glance
- Tasks: Teach and research in statistics, data science, and machine learning.
- Company: Join LSE, a leading university committed to diversity and inclusion.
- Benefits: Competitive salary, pension scheme, generous research leave, and professional development.
- Other info: Opportunities for collaboration across various research institutes.
- Why this job: Make an impact in a collaborative environment with world-class researchers.
- Qualifications: PhD in statistics or related field, with a strong publication record.
The predicted salary is between 68087 - 68087 £ per year.
LSE is committed to building a diverse, equitable and truly inclusive university. As an equal opportunities employer strongly committed to equity, diversity and inclusion, we encourage applications from women and people from ethnic minority backgrounds as they are currently under-represented at this level in this area. All appointments will be made on merit or skill and experience relative to the role.
Applications for this new post are invited from outstanding candidates in the field of data science and statistics. Successful candidates will join an established and successful department and contribute to its research and teaching in data science and statistics. The post is tenable from 1 September 2027.
You should have expertise and research interests in statistics, data science, or machine learning. You will have a track record or trajectory of internationally excellent publications, proven ability, as evidenced by existing publications, or potential to publish in top conferences or journals. You will also have a clear, well-developed and viable strategy for future outstanding research that has the potential to result in world-leading publications.
You must have a completed PhD, or close to obtaining a PhD in statistics or related areas such as computer science or mathematics by the post start date. The other criteria that will be used when shortlisting for this post can be found on the person specification, which is attached to this vacancy on the LSE’s online recruitment system.
We welcome applications from candidates who are keen to collaborate with colleagues with complementary research interests, both from within the Department and from other departments in the School. The Department has research expertise across different areas, including data science, probability in finance and insurance, social statistics, and time series and statistical learning.
The School provides opportunities for research collaboration through the new Global Institute for Technology and Society, and other institutes. In addition to a competitive salary, the benefits that come with this job include an occupational pension scheme, research grants policy with personal reward options, generous research leave (sabbatical) entitlement, a collegial faculty environment and excellent support, training and development opportunities.
The closing date for receipt of applications is Sunday 13 December 2026 (23.59 UK time). We are unable to accept any late applications.
Assistant Professor in Statistics employer: Imstat
Imstat is an attractive employer due to its commitment to diversity and inclusion, providing a supportive work culture. The institution encourages collaboration and offers competitive salaries, making it an ideal place for professionals in statistics and data science to thrive.
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We think this is how you could land Assistant Professor in Statistics
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We think you need these skills to ace Assistant Professor in Statistics
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!
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Craft a Tailored Cover Letter:For a full-time role at Imstat, 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 Imstat. 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 Imstat
✨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 Imstat!
✨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.
