At a Glance
- Tasks: Design and implement innovative ML models to enhance predictive power using Python.
- Company: Join Longshot Systems Ltd, a hybrid company with a focus on cutting-edge technology.
- Benefits: Enjoy flexible scheduling, a collaborative environment, and the chance to work remotely.
- Other info: Work in a dynamic team with opportunities for professional growth.
- Why this job: Make a real impact in the R&D lifecycle while working with advanced machine learning techniques.
- Qualifications: PhD in a relevant field and strong programming skills in Python.
The predicted salary is between 63000 - 77000 £ per year.
Longshot Systems Ltd is seeking a Graduate Machine Learning Researcher to join our quantitative modelling team.
You will design, test, and implement new ML models in Python to improve predictive power based on historical event data, contributing across the full R&D lifecycle.
We are a hybrid company with Thursdays in our London (Farringdon) office and remote work the rest of the week.
Typical hours are 10:00–18:00 UK time, Monday to Friday, with flexible scheduling to meet project goals and
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Hybrid ML Researcher: Quantitative Modelling (PhD) employer: Longshot Systems Ltd
Longshot Systems Ltd is an excellent employer that fosters a collaborative and innovative work culture, allowing you to thrive as a Hybrid ML Researcher in our dynamic quantitative modelling team. With the flexibility of remote work and a vibrant office environment in Farringdon, London, we prioritise employee growth through continuous learning opportunities and a supportive atmosphere that encourages creativity and experimentation.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid ML Researcher: Quantitative Modelling (PhD)
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We think you need these skills to ace Hybrid ML Researcher: Quantitative Modelling (PhD)
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 Longshot Systems Ltd, 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 Longshot Systems Ltd. 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 Longshot Systems Ltd
✨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 Longshot Systems Ltd!
✨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.
