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- Tasks: Join our team as a Junior Data Scientist and dive into data analysis and machine learning projects.
- Company: We're a dynamic data consultancy based in Bristol, passionate about transforming data into insights.
- Benefits: Enjoy flexible working arrangements and a competitive salary of £30k - £40k based on experience.
- Why this job: This role offers hands-on experience in a supportive environment, perfect for aspiring data professionals.
- Qualifications: Familiarity with Python, machine learning, and statistical modelling is essential.
- Other info: This is a permanent position located in our vibrant Bristol office.
The predicted salary is between 24000 - 33600 £ per year.
A data-focused consultancy has a brand new role for a budding Data Scientist to join their team. The role is being offered on a permanent basis from their central Bristol office, and with a flexible working pattern.
Location: Bristol
Salary: £30k - £40k Depending on Experience
Work Pattern: Flexible Arrangements
Skill Set: Python, Machine Learning, Statistical Modelling
Junior Data Scientist employer: Oscar Associates (UK) Limited
Contact Detail:
Oscar Associates (UK) Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in data science, particularly in Python and machine learning. This will not only help you during interviews but also show your genuine interest in the field.
✨Tip Number 2
Engage with the data science community online. Join forums, attend webinars, or participate in local meetups. Networking can lead to valuable connections and insights about the role you're applying for.
✨Tip Number 3
Prepare to discuss your previous projects or experiences related to statistical modelling. Be ready to explain your thought process and the impact of your work, as this demonstrates your practical knowledge.
✨Tip Number 4
Research the company’s recent projects and achievements. Tailoring your conversation to their specific work can set you apart and show that you’re genuinely interested in contributing to their success.
We think you need these skills to ace Junior Data Scientist
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the key responsibilities and required skills for the Junior Data Scientist position. Highlight your experience with Python, Machine Learning, and Statistical Modelling in your application.
Tailor Your CV: Customise your CV to reflect relevant experiences and projects that demonstrate your data science skills. Use specific examples where you applied Python or machine learning techniques to solve problems.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and explains why you are a great fit for the consultancy. Mention any relevant coursework, internships, or personal projects that align with the job requirements.
Proofread Your Application: Before submitting, thoroughly proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in data science.
How to prepare for a job interview at Oscar Associates (UK) Limited
✨Brush Up on Your Python Skills
Make sure you're comfortable with Python, as it's a key requirement for the role. Be prepared to discuss your experience with libraries like Pandas and NumPy, and maybe even solve a coding challenge during the interview.
✨Showcase Your Machine Learning Knowledge
Familiarise yourself with common machine learning algorithms and their applications. Be ready to explain how you've used them in past projects or coursework, and think of examples that demonstrate your understanding.
✨Understand Statistical Modelling
Since statistical modelling is part of the job, brush up on your statistics knowledge. Be prepared to discuss concepts like regression analysis and hypothesis testing, and how they apply to data science.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare thoughtful questions about the company culture, team dynamics, and the specific projects you might be working on. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
