At a Glance
- Tasks: Support AI and automation projects, enhancing operational efficiency and workflow.
- Company: Join Kobalt, a leading music industry innovator with a focus on technology.
- Benefits: Gain hands-on experience in AI, competitive pay, and hybrid working options.
- Other info: Exciting opportunity for growth in a dynamic, innovative environment.
- Why this job: Kickstart your career at the intersection of tech and music while learning about AI.
- Qualifications: Interest in AI, problem-solving skills, and a collaborative mindset.
The predicted salary is between 25000 - 32000 £ per year.
The Junior AI & Automation Analyst is an entry-level role supporting innovation at scale across Operations at Kobalt. This is a 3-month fixed-term opportunity designed to provide hands-on experience in AI, automation, and operational improvement while supporting the team in reviewing bottlenecks in complex workflows and learning how to deploy practical AI-driven solutions.
In this role, you will begin to bridge the gap between emerging AI technologies and our day-to-day operations. Under the guidance across the team, you will use your logical mindset to support the wider operations innovation strategy by helping to test intelligent workflows, connect systems, and enhance processes across operations. This is an exciting opportunity for someone looking to start their career at the intersection of technology, operations, and the music industry while gaining practical experience with AI, automation, and process improvement.
What You’ll Do
- You support the research, testing, and piloting of new AI tools, platforms, and models.
- You assist the team in mapping and building automated workflows to reduce manual, data-intensive tasks.
- You help support the use of integration platforms and internal tools to connect systems and improve operational efficiency.
- You assist teams in utilizing AI-assisted tools to accelerate the creation of agentic and repeatable business-focused solutions.
- You support the documentation of workflows and automations to ensure reliability and consistency across operations.
- You collaborate with stakeholders across the business to understand operational challenges and identify opportunities for improvement.
- You work with a variety of teams to learn how the music industry ecosystem operates and how innovation supports creators and rights holders.
- You actively participate in training and development opportunities to build your knowledge of AI, automation, and workflow optimisation.
What You’ll Bring
- You have a natural inclination to break down multi-step problems into logical workflows and enjoy understanding how things work.
- You are highly comfortable learning new software and tools quickly.
- You have an interest in AI technologies and are eager to learn how they can be applied to real-world business challenges.
- You have basic data handling skills and understand the importance of maintaining clear and accurate documentation.
- You enjoy working collaboratively within a team environment and are comfortable asking questions and learning from others.
- You demonstrate strong attention to detail and take a conscientious approach to testing and accuracy.
- You have strong written and verbal communication skills and can explain ideas clearly to a variety of audiences.
Additional Skills That Could Add Value:
- Exposure to SQL, Python, or other technical tools through education, personal projects, or internships.
- Experience experimenting with AI tools, Large Language Models (LLMs), or workflow automation platforms.
- An interest in technology, innovation, and operational excellence.
- Experience working on university, personal, or professional projects involving process improvement, data analysis, or technology.
What Success Looks Like
- By Month 1: Building Foundations - You’ll have developed a strong understanding of Kobalt’s operations, systems, and workflows. You’ll be actively supporting research, testing, and documentation activities while building confidence using AI tools and automation platforms under the guidance of the wider team.
- By Month 2: Contributing to Automation Initiatives - You’ll be supporting workflow mapping, testing automation solutions, and assisting with operational improvement projects. You’ll have developed a solid understanding of how AI and automation can be applied to business challenges and be contributing meaningful ideas and insights.
- By Month 3: Delivering Impact - You’ll have successfully contributed to AI and automation initiatives, supported the delivery of operational improvements, and developed a strong foundation in workflow optimisation, automation, and emerging technologies. You’ll leave the programme with practical experience applying AI to real business challenges within a global music company.
Key Behaviours for Success
- Curiosity & Learning Agility - Demonstrates a genuine passion for learning, exploring new technologies, and continuously developing new skills in a rapidly evolving field.
- Problem Solving & Logical Thinking - Approaches challenges methodically, breaking complex problems into manageable steps and identifying practical solutions.
- Innovation Mindset - Embraces new ideas, experiments with emerging technologies, and actively looks for opportunities to improve processes and ways of working.
Junior Analyst, AI & Automation in London employer: Kobalt
Kobalt is an exceptional employer that fosters a dynamic work culture in the heart of London, where innovation meets collaboration. As a Junior Tracking Analyst, you'll benefit from comprehensive growth opportunities, working alongside industry experts while contributing to meaningful projects that drive revenue transparency. With a hybrid work model and a focus on employee well-being, Kobalt ensures a supportive environment that values your contributions and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Analyst, AI & Automation in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Kobalt before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Kobalt.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Kobalt.
We think you need these skills to ace Junior Analyst, AI & Automation in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Kobalt, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Kobalt, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Kobalt’s attention and show the tangible impact of your work.
How to prepare for a job interview at Kobalt
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Kobalt.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Kobalt.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Kobalt.
