Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and refine AI/ML models to tackle real-world business challenges.
- Company: Join a growing software house transforming data for major enterprises across various sectors.
- Benefits: Enjoy hybrid working, competitive salary, and mentorship from industry experts.
- Why this job: Work on impactful projects that shape the future of data-driven decision-making.
- Qualifications: 1-2 years in Data Science, strong Python skills, and a first-class STEM degree required.
- Other info: Opportunity to work with clients in the UK, Germany, France, and Ireland.
Candidates should take the time to read all the elements of this job advert carefully. Please make your application promptly.
Avanti Recruitment is working with a growing software house who make a SaaS based Data platform for customers to help them Enterprise businesses transform their data into actionable insights. Working with household names in Finance, Retail, Travel, Telco, and Healthcare, they turn Enterprise data into competitive advantage.
About the role:
- Build and refine Data Science/ AI/ML models that solve genuine commercial challenges
- Work across predictive analytics, personalization, and decision-making tools
- Deploy models on major cloud platforms (AWS, Azure, GCP)
- Collaborate with AI Engineers and Product Teams on scalable solutions
- Help increase business value through AI implementation, particularly in the private equity space
About the company:
- You will be joining a team of 5 and they are looking to expand with multiple new hires
- Their software is deployed with clients in the UK, Germany, France, and Ireland
What they’re looking for:
- 1-2 years experience in Data Science (perfect for second-jobbers)
- First-class STEM degree from a prestigious university
- Strong Python skills (Pandas, NumPy, Scikit-Learn)
- Cloud computing experience (primarily Azure but they work with all major cloud providers depending on their clients needs)
- SQL knowledge and database experience (SQL assessment is part of the interview process)
- Problem-solving mindset and good communication skills
- Experience optimizing code for large-scale, high-volume datasets
Why join them?
- Work on Data Science and AI challenges that actually matter
- Fast-track your career with mentorship from senior experts
- Gain valuable experience across multiple industries and cloud platforms (Azure, AWS, GCP, Databricks)
- Competitive salary with genuine development opportunities
Currently serving clients in four countries with two live products and two cutting-edge AI solutions in development. This is your chance to apply machine learning at scale while building solutions that shape the future of data-driven decision-making.
Target Salary: £45,000 (considering applications in the range of £40,000 - £50,000)
Location: Central London – hybrid working
Duration: Permanent
N.B. They don’t sponsor visas and won’t consider those on short term visas.
APPLY NOW FOR IMMEDIATE CONSIDERATION
Junior Data Scientist | London | SaaS Data Platform employer: Avanti Recruitment
Contact Detail:
Avanti Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Scientist | London | SaaS Data Platform
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Python libraries like Pandas and Scikit-Learn. Being able to discuss your experience with these tools during the interview will show that you're well-prepared and knowledgeable.
✨Tip Number 2
Brush up on your SQL skills, as there will be an assessment during the interview process. Practising SQL queries and understanding how to manipulate databases will give you a significant advantage.
✨Tip Number 3
Research the company’s current projects and clients, especially in sectors like Finance and Healthcare. This knowledge will help you tailor your responses and demonstrate your genuine interest in their work during the interview.
✨Tip Number 4
Prepare examples of how you've solved real-world problems using data science techniques. Being able to articulate your problem-solving mindset with concrete examples will resonate well with the interviewers.
We think you need these skills to ace Junior Data Scientist | London | SaaS Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in Data Science, particularly any projects involving Python, cloud computing, and SQL. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for Data Science and AI. Mention specific experiences that align with the company's focus on transforming data into actionable insights and your problem-solving mindset.
Showcase Your Skills: In your application, emphasise your technical skills, especially in Python libraries like Pandas and NumPy, as well as your experience with cloud platforms. Provide examples of how you've applied these skills in previous roles or projects.
Proofread Your Application: Before submitting, carefully proofread your application for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data-driven role.
How to prepare for a job interview at Avanti Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Python, especially with libraries like Pandas, NumPy, and Scikit-Learn. Be prepared to discuss specific projects where you've applied these skills, as well as any experience you have with SQL and cloud platforms like Azure.
✨Demonstrate Problem-Solving Abilities
Prepare examples of how you've tackled complex data challenges in the past. The company values a problem-solving mindset, so think about situations where you've had to analyse data and derive actionable insights.
✨Understand the Company’s Impact
Research the company's SaaS Data platform and its applications across various industries. Being able to articulate how their work transforms data into competitive advantages will show your genuine interest in the role and the company.
✨Prepare for the SQL Assessment
Since the interview process includes an SQL assessment, brush up on your SQL skills. Practice writing queries and understanding database structures, as this will be crucial for demonstrating your technical capabilities.
