At a Glance
- Tasks: Contribute to diverse projects in life science, health, and environmental sciences.
- Company: Department of Data Science and AI with a focus on collaboration.
- Benefits: Flexible working options, great work-life balance, and hybrid work model.
- Other info: Opportunity to develop new collaborations across various sectors.
- Why this job: Make a real impact while collaborating with industry leaders and academia.
- Qualifications: Research experience in data science and a passion for innovation.
The predicted salary is between 35000 - 45000 £ per year.
The Department of Data Science and AI is looking for a researcher to contribute to our work on a wide variety of projects across all national challenges including life science and health, and climate and environmental sciences.
Excitingly, this role offers scope to develop new collaborations across NPL, government, industry, and academia. You’ll enjoy developing, applying and sharing knowledge and skills with colleagues, collaborators, and the wider scientific community.
We work in a hybrid way, with a mix of remote and office working. We strive to offer a great work life balance - if you are looking for full time, part time or flexible options, we will try to make this work where business possible. This will be dependent on the kind of role you do and part of the business you work in.
Data Scientist in Tewkesbury employer: OME
As a leading institution in Data Science and AI, we pride ourselves on fostering a collaborative and innovative work environment that encourages personal and professional growth. Our hybrid working model promotes a healthy work-life balance, offering flexible options to suit your needs while engaging in impactful projects that address national challenges. Join us to be part of a dynamic team where your contributions will shape the future of science and technology.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in Tewkesbury
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like OME!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at OME.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like OME.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at OME, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in Tewkesbury
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 OME, 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 OME. 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 OME
✨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!
✨Showcase Your Projects
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 OME!
✨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.
