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- Tasks: Join a team to tackle business problems using machine learning and data analysis.
- Company: Work with a dynamic client team in London, focusing on innovative solutions.
- Benefits: Enjoy a hybrid work model and competitive pay for your expertise.
- Why this job: Make an impact by presenting your findings to key stakeholders and driving change.
- Qualifications: PhD in relevant fields and experience with Python and machine learning techniques required.
- Other info: Initial 6-month contract with opportunities for growth and learning.
The predicted salary is between 45000 - 65000 £ per year.
You will work with the client team to apply machine learning and statistical techniques to business problems. You will contribute to the research and implementation of new approaches to address complex problems and perform data analysis and model validation. You will have the opportunity to present results to a variety of internal stakeholders. This is an initial 6 month contract.
Job Responsibilities/Objectives:
- Experience with machine learning techniques such as regularised regression, clustering, or tree-based ensembles, and the ability to implement them through libraries.
- Experience with programming, ideally Python, and the ability to quickly pick up handling large data volumes with modern data processing tools, e.g. by using Hadoop / Spark / SQL.
- Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, and Sci-kit learn, along with data visualisation technologies.
Required Skills/Experience:
- Experience with programming, ideally Python.
- Experience in the retail sector would be an added advantage.
- PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, Applied Statistics, Physics, Engineering, Biology or related field.
If you are interested in this opportunity, please apply now with your updated CV in Microsoft Word/PDF format.
Research Data Scientist - Machine Learning - London employer: Square One Resources
Contact Detail:
Square One Resources Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Data Scientist - Machine Learning - London
✨Tip Number 1
Familiarise yourself with the latest machine learning techniques and tools mentioned in the job description. Being able to discuss your knowledge of regularised regression, clustering, and tree-based ensembles during interviews will show your expertise and enthusiasm for the role.
✨Tip Number 2
Brush up on your Python programming skills, especially in relation to handling large datasets. Consider working on personal projects or contributing to open-source projects that utilise libraries like Pandas and Sci-kit learn to demonstrate your practical experience.
✨Tip Number 3
If you have experience in the retail sector, be prepared to highlight specific examples of how you've applied data science to solve business problems. This will help you stand out as a candidate who understands the industry context.
✨Tip Number 4
Practice presenting complex data analysis results in a clear and engaging manner. Since you'll be presenting to various stakeholders, being able to communicate your findings effectively will be crucial in the interview process.
We think you need these skills to ace Research Data Scientist - Machine Learning - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning, programming (especially Python), and any work in the retail sector. Use specific examples to demonstrate your skills in data analysis and model validation.
Craft a Strong Cover Letter: Write a cover letter that explains why you are interested in the Research Data Scientist position. Mention your PhD and how your background aligns with the job responsibilities, particularly your experience with machine learning techniques and data processing tools.
Showcase Technical Skills: In your application, emphasise your proficiency with libraries like Pandas and Sci-kit learn. If you have experience with Hadoop, Spark, or SQL, make sure to include that as well, as it is crucial for handling large data volumes.
Prepare for Interviews: If selected for an interview, be ready to discuss your previous projects involving machine learning and data analysis. Prepare to explain your thought process and the methodologies you used to solve complex problems.
How to prepare for a job interview at Square One Resources
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning techniques and programming languages, especially Python. Highlight specific projects where you've implemented algorithms like regularised regression or tree-based ensembles.
✨Demonstrate Problem-Solving Abilities
Think of examples where you've tackled complex problems using data analysis. Be ready to explain your thought process and the statistical techniques you applied to reach a solution.
✨Familiarise Yourself with Relevant Tools
Make sure you know how to use modern data processing tools like Hadoop, Spark, and SQL. If you have experience with open-source software such as Pandas and Sci-kit learn, be ready to discuss how you've used these in your work.
✨Prepare for Stakeholder Engagement
Since you'll be presenting results to internal stakeholders, practice explaining complex data findings in a clear and concise manner. Tailor your communication style to suit different audiences, ensuring they understand the implications of your work.
