Data Scientist: ML Solutions & Data Insights (Derby)

Data Scientist: ML Solutions & Data Insights (Derby)

Derby Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Onyx-Conseil

At a Glance

  • Tasks: Develop and deploy machine learning models while collaborating with engineers and stakeholders.
  • Company: Join Onyx-Conseil, a dynamic team in Derby focused on innovative solutions.
  • Benefits: Full-time position with opportunities to enhance your data science skills.
  • Other info: Onsite work in a collaborative environment with growth potential.
  • Why this job: Make an impact in the exciting field of data science and machine learning.
  • Qualifications: 1-3 years of experience with strong programming skills in Python or R.

The predicted salary is between 60000 - 80000 £ per year.

Onyx-Conseil is seeking a Data Scientist in Derby to join a dynamic team focused on delivering innovative solutions. You will be involved in developing, testing, and deploying machine learning models, collaborating closely with engineers and stakeholders.

The ideal candidate will possess 1-3 years of experience and strong programming skills in Python or R. This is a full-time position requiring onsite work, offering a fantastic opportunity to enhance your data science skills.

Data Scientist: ML Solutions & Data Insights (Derby) employer: Onyx-Conseil

Onyx-Conseil is an excellent employer that fosters a collaborative and innovative work culture in Derby, where you can thrive as a Data Scientist. With a strong emphasis on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge machine learning projects alongside talented professionals. Our commitment to a supportive environment ensures that your contributions are valued, making this a rewarding place to advance your career.

Onyx-Conseil

Contact Details:

Onyx-Conseil Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Scientist: ML Solutions & Data Insights (Derby)

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 Onyx-Conseil!

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: ML Solutions & Data Insights (Derby) at Onyx-Conseil.

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 Onyx-Conseil.

Apply Directly through Our Website

When you find a suitable opening like Data Scientist: ML Solutions & Data Insights (Derby) at Onyx-Conseil, 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: ML Solutions & Data Insights (Derby)

Machine Learning
Python
R
Data Analysis
Model Development
Model Testing
Model Deployment

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 Onyx-Conseil, 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 Onyx-Conseil. 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 Onyx-Conseil

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 Onyx-Conseil!

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.