Senior Data Scientist – Remote UK, Lead ML & CV

Senior Data Scientist – Remote UK, Lead ML & CV

Full-Time 63000 - 77000 Β£ / year (est.) Working from home possible
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At a Glance

  • Tasks: Lead the data science lifecycle and develop machine learning models focused on Computer Vision.
  • Company: Fast-growing AI-driven product company in the UK with a remote work culture.
  • Benefits: Excellent benefits, full-time remote work, and significant influence in your role.
  • Why this job: Join a dynamic team and make an impact in the exciting field of AI and data science.
  • Qualifications: Strong experience in Python, Azure, and effective stakeholder communication.

The predicted salary is between 63000 - 77000 Β£ per year.

A fast-growing AI-driven product company in the UK is seeking a Senior/Lead Data Scientist.

This role involves ownership of the data science lifecycle, building and maintaining machine learning models with a focus on Computer Vision.

Candidates should have strong experience in Python, Azure, and effective communication with stakeholders.

The position is full-time and remote, providing significant influence and excellent benefits.

If you excel in data science and are ready for a challenging role, apply today. #J-18808-Ljbffr

Senior Data Scientist – Remote UK, Lead ML & CV employer: Uneek Global

Uneek Global is an exceptional employer, offering a dynamic work culture that prioritises wellbeing and collaboration. As a Delivery Manager in London, you will have the opportunity to lead innovative data engineering projects while benefiting from a hybrid work model that promotes work-life balance. With a focus on employee growth and development, this role provides a platform for you to enhance your skills and make a meaningful impact within a supportive team environment.

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Contact Details:

Uneek Global Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Scientist – Remote UK, Lead ML & CV

✨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 Uneek Global!

✨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 Senior Data Scientist – Remote UK, Lead ML & CV at Uneek Global.

✨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 Uneek Global.

✨Apply Directly through Our Website

When you find a suitable opening like Senior Data Scientist – Remote UK, Lead ML & CV at Uneek Global, 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 Senior Data Scientist – Remote UK, Lead ML & CV

Machine Learning
Computer Vision
Python
Azure
Data Science Lifecycle Management
Stakeholder Communication
Model Building

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 Uneek Global, 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 Uneek Global. 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 Uneek Global

✨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 Uneek Global!

✨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.