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- 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 small 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 28000 - 42000 £ per year.
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 employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist - Fully remote (UK based only) – TimeSeries, NLP
✨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 NLP, time-series analysis, and computer vision. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common data science questions. Be ready to explain your thought process clearly, especially when discussing your experience with Python and SQL.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want 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
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Data Science, especially with Python and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing your projects and achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data science and how you can contribute to our team. Keep it concise but make sure to include specific examples of your work with time-series or NLP.
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 love seeing practical applications of your skills. Include links if possible!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Avanti Recruitment
✨Know Your Data Tools
Make sure you brush up on your Python skills, especially with libraries like pandas, NumPy, and scikit-learn. Familiarise yourself with SQL as well, since you'll need to demonstrate your ability to manipulate and analyse data effectively during the interview.
✨Showcase Your Projects
Prepare to discuss any relevant projects you've worked on, particularly those involving time-series analysis, NLP, or computer vision. Be ready to explain your thought process, the challenges you faced, and how you overcame them. This will show your practical experience and problem-solving skills.
✨Communicate Clearly
Since you'll be working with non-technical audiences, practice explaining complex concepts in simple terms. Think about how you can translate your technical findings into actionable insights that anyone can understand. This will highlight your communication skills, which are crucial for this role.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data projects and their approach to analytics. This shows your genuine interest in the role and helps you assess if the company is the right fit for you. Plus, it gives you a chance to engage with the interviewers on a deeper level.