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For Companies At a Glance
- Tasks: Build models and generate insights from real-world data across text, images, and time-series.
- Company: Fast-growing analytics business in the media streaming sector.
- Benefits: Competitive salary, fully remote work, and exposure to cutting-edge technologies.
- Other info: Join a dynamic team and contribute to innovative AI/ML projects.
- Why this job: Make a visible impact with your data skills in a collaborative startup environment.
- Qualifications: 1 year of Data Science experience, strong Python and SQL skills.
The predicted salary is between 35000 - 50000 £ per year.
Job Description
Junior Data Scientist – Fully remote (UK based only) – TimeSeries, NLP, Computer Vision
We’re partnering with a fast-growing analytics and technology business operating in the media streaming sector to recruit a Full Stack Data Scientist. They provide data analytics tools for major entertainment brands that are household names around the globe. This role offers a chance to build models, generate insights, and work directly with real-world product and customer data across multiple data types – text, images, and time-series (tabular) data.
The Role
You’ll join a small, collaborative data team in a Full stack Data Science role (ETL process through to building predictive models) working on live analytics, forecasting, and AI/ML projects.
Key responsibilities include:
- Enriching and preparing datasets to uncover actionable insights
- Building and evaluating time-series forecasts
- Prototyping AI/ML models (NLP and computer vision exposure)
- Translating findings into clear visual reports and concise business narratives
- Contributing to simple, reliable data pipelines and automated quality checks
About You
- Minimum 1 year of commercial Data Science experience
- Strong hands-on Python (pandas, NumPy, scikit-learn) and SQL
- Sound understanding of statistics and forecasting
- Confident communicator – able to explain technical work clearly to non-technical audiences
Why Apply
- Opportunity to build from scratch within a growing data function
- Exposure to cutting-edge work in NLP, time-series analysis, and computer vision
- Collaborative startup environment where ideas turn into production
Competitive salary – £35,000–£50,000 DOE
UK-based only, Fully remote working
N.B. They do not offer visa sponsorship and you must be based in the UK.
If you’re hands-on with data, love uncovering insight, and want to work where your models make a visible impact, we’d love to hear from you.
APPLY NOW for more information and interview in the next week.
Junior Data Scientist - Fully remote (UK based only) - TimeSeries, NLP, Computer Vision employer: Avanti
Contact Detail:
Avanti Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist - Fully remote (UK based only) - TimeSeries, NLP, Computer Vision
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving time-series, NLP, and computer vision. Share it on platforms like GitHub or your personal website to grab the attention of potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common data science questions. Be ready to explain your thought process clearly, as communication is key when working with non-technical teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates who are eager to make an impact in the data world.
We think you need these skills to ace Junior Data Scientist - Fully remote (UK based only) - TimeSeries, NLP, Computer Vision
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant projects in NLP or time-series analysis. We want to see how your skills match the role, so don’t be shy about showcasing your best work!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for data science and the impact it can have.
Showcase Your Projects: If you’ve worked on any cool data projects, make sure to mention them! Whether it’s a personal project or something from your previous job, we want to see how you’ve applied your skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you get all the latest updates. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Avanti
✨Know Your Data Tools
Make sure you brush up on your Python skills, especially with libraries like pandas, NumPy, and scikit-learn. Be ready to discuss how you've used these tools in past projects, as well as any experience you have with SQL. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in data science, particularly in time-series forecasting or NLP. Think of examples where you built models or generated insights that had a real impact. This will demonstrate your hands-on experience and ability to tackle complex problems.
✨Communicate Clearly
Since you'll need to explain technical concepts to non-technical audiences, practice simplifying your explanations. Use clear, concise language and avoid jargon when possible. You might even want to prepare a few examples of how you've successfully communicated findings in the past.
✨Be Ready for Practical Tests
Expect some practical assessments during the interview process. Brush up on your ETL processes and be prepared to prototype an AI/ML model on the spot. Practising coding challenges related to data manipulation and analysis can help you feel more confident and ready to impress.