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For Companies At a Glance
- Tasks: Shape data systems and workflows from scratch, working on automation and data transformation.
- Company: Join a dynamic media tech company focused on innovation and growth in data science.
- Benefits: Enjoy hybrid work options, competitive salary, and opportunities for professional development.
- Why this job: Make a real impact in a supportive team while advancing your skills in a fast-paced environment.
- Qualifications: 2 years' experience in data science or a strong academic background with hands-on project experience.
- Other info: Perfect for those eager to learn and grow in a cutting-edge tech space.
The predicted salary is between 43200 - 72000 £ per year.
Junior Data Scientist / Data Engineer London (Hybrid – 2 Days in Office per Week) Permanent – £60,000 Ready to grow your career in data science? This is a greenfield opportunity in the media tech space – perfect for someone early in their data career who wants to build, not just maintain. You\’ll be involved from day one, shaping systems and workflows from scratch and making a real impact with hands-on work in automation, data extraction and transformation, and feeding data into LLMs (Large Language Models). What We\’re Looking For: Ideally 2 years\’ experience in data science or data engineering, or a strong academic background (e.g., Computer Science, Maths, Physics) with some hands-on data project experience. Strong problem-solving mindset and a genuine curiosity for applying data to real-world challenges. Interest in modern tools and technologies, with a drive to learn and grow.What You\’ll Be Doing: Working on end-to-end data workflows from collection to transformation and model integration Helping to architect and implement data systems from the ground up Collaborating in a supportive team environment using modern techThis is a role with room to learn, contribute, and make a difference – ideal for someone looking to take their skills to the next level in a fast-moving, tech-driven environment. If you are looking and interested to find out more information, please apply with a copy of your CV
Data Scientist employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Familiarise yourself with the latest tools and technologies in data science and engineering. Since this role involves building systems from scratch, showcasing your knowledge of modern frameworks and languages can set you apart.
✨Tip Number 2
Engage in hands-on projects that demonstrate your problem-solving skills. Whether it's through personal projects or contributions to open-source, having tangible examples of your work can impress potential employers.
✨Tip Number 3
Network with professionals in the media tech space. Attend industry meetups or webinars to connect with others in the field, as referrals can often lead to job opportunities that aren't publicly advertised.
✨Tip Number 4
Prepare to discuss how you've applied data to solve real-world challenges. Be ready to share specific examples during interviews, as this will highlight your genuine curiosity and problem-solving mindset.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science or data engineering. Emphasise any hands-on projects you've worked on, especially those involving data extraction, transformation, or automation.
Craft a Compelling Cover Letter: Write a cover letter that showcases your problem-solving mindset and genuine curiosity for applying data to real-world challenges. Mention specific tools or technologies you are familiar with and express your eagerness to learn and grow in the role.
Showcase Relevant Skills: In your application, clearly outline your technical skills related to data workflows, model integration, and any experience with large language models. This will demonstrate your capability to contribute from day one.
Highlight Team Collaboration: Since the role involves working in a supportive team environment, mention any previous experiences where you collaborated effectively with others. This could be through group projects, internships, or any relevant teamwork experience.
How to prepare for a job interview at Investigo
✨Showcase Your Projects
Be prepared to discuss any hands-on data projects you've worked on. Highlight your role, the tools you used, and the impact of your work. This will demonstrate your practical experience and problem-solving skills.
✨Understand the Tech Stack
Familiarise yourself with modern data tools and technologies relevant to the role. Research the company’s tech stack and be ready to discuss how you can contribute to their data systems and workflows.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data challenges and future projects. This shows your genuine interest in the role and helps you understand how you can make a real impact.
✨Demonstrate Curiosity
Express your eagerness to learn and grow within the field of data science. Share examples of how you've pursued knowledge outside of formal education, such as online courses or personal projects.
