At a Glance
- Tasks: Own analytical workstreams, build models, and deliver insights that drive business decisions.
- Company: Boutique consultancy helping brands transition to data-driven marketing.
- Benefits: Competitive salary, 25 days holiday, private healthcare, and flexible benefits.
- Other info: Join a vibrant team with excellent growth opportunities and regular social events.
- Why this job: Make an immediate impact while developing your skills in a dynamic team.
- Qualifications: 2+ years in data analytics or science, strong STEM background, fluent in SQL and Python.
The predicted salary is between 30000 - 40000 € per year.
About Loop Horizon
Loop Horizon is a boutique consultancy, providing expert advice and services to world leading brands to assist their transition to a data-driven marketing future. With specialists in Digital, Data & Analytics, MarTech and Marketing, we are predominantly ex-client side. Having delivered data-driven marketing before enables our clients to deliver more, faster and avoid missteps.
We focus on enabling clients with data and technology capability and supporting their internal teams through strategy, planning, delivery and adopting new ways of working. Our continued growth and client demand means we are looking for a capable early-career data scientist ready to make an immediate impact while developing their skills alongside an experienced team.
As an Associate Data Scientist, you will own analytical workstreams within client projects - building models, generating insights, and delivering data products that drive real business decisions. You'll work closely with a senior data scientist who will help shape your approach, provide guidance on technical and client challenges, and support your development. This is a fantastic opportunity for someone early in their career who wants to do meaningful, client-facing work and grow quickly through varied, hands-on experience.
- Conduct exploratory analysis, identify patterns, and translate findings into actionable recommendations.
- Develop and implement data products that address client business challenges – from core analytics to production ready ML solutions.
- Communicate results clearly to non-technical stakeholders, both in writing and in person.
- Keep pace with emerging tools and techniques - particularly in AI - and look for opportunities to apply them.
Requirements:
- 2+ years of commercial experience in either data analytics, data science or machine learning.
- A strong academic background in a STEM subject (e.g., Mathematics, Computer Science, Physics, Engineering etc) from a top University.
- Fluent SQL skills alongside proficiency in Python for data manipulation, analysis and modelling.
- Solid grasp of core machine learning techniques.
- Experience with marketing data, digital behavioural data (Adobe Analytics/GA4) and marketing analytics use cases (e.g., AWS, Azure, Google Cloud) and data warehousing technologies.
Benefits:
- Competitive salary.
- 25 days holiday, plus an additional 3 days leave between Christmas and New Year.
- Pension scheme and life assurance.
- Private Healthcare for you (and your spouse/children at extra cost).
- Flexible benefits scheme including electric car leasing scheme, cycle to work, gym discounts, discounted vouchers.
- Hybrid working - we believe in a balance between spending time face-to-face with colleagues and our clients, as well as enabling working from home.
- Excellent opportunities to grow and develop.
- Vibrant, friendly, dynamic team with calendar of regular social activities and team events.
Please note, only candidates with permanent right to work in the UK will be considered.
Associate, Data Scientist in City of London employer: LOOP HORIZON
Loop Horizon is an exceptional employer that fosters a vibrant and dynamic work culture, perfect for early-career professionals eager to make a meaningful impact in data science. With a strong emphasis on employee growth, we offer excellent development opportunities alongside experienced mentors, competitive salaries, and a flexible benefits scheme, all within a supportive team environment. Our hybrid working model ensures a balanced approach to collaboration and personal time, making Loop Horizon an ideal place to advance your career in a rapidly evolving field.
StudySmarter Expert Advice🤫
We think this is how you could land Associate, Data Scientist in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Loop Horizon on LinkedIn. Ask them about their experiences and any tips they might have for landing the Associate Data Scientist role. Personal connections can make a huge difference!
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Be ready to discuss your experience with SQL and Python, and think of examples where you've used machine learning techniques in real-world scenarios. Show us what you can do!
✨Tip Number 3
Don’t just focus on the technical stuff; practice explaining complex data concepts in simple terms. You’ll need to communicate your findings to non-technical stakeholders, so being able to break it down is key. We want to see your communication skills shine!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at Loop Horizon. Let’s get you started on this exciting journey!
We think you need these skills to ace Associate, Data Scientist in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Associate Data Scientist role. Highlight your technical foundations, especially in SQL and Python, and any relevant projects you've worked on.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're excited about joining Loop Horizon. Share specific examples of how your background aligns with our focus on data-driven marketing and your eagerness to learn from experienced team members.
Showcase Your Analytical Skills:In your application, include examples of your analytical work. Whether it's a project where you identified patterns or developed a data product, we want to see how you can translate data into actionable insights.
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 this exciting opportunity at Loop Horizon!
How to prepare for a job interview at LOOP HORIZON
✨Know Your Data Inside Out
Before the interview, brush up on your data analytics and machine learning knowledge. Be prepared to discuss specific projects you've worked on, the tools you used, and the outcomes. Loop Horizon values practical experience, so showcasing your ability to apply your skills in real-world scenarios will set you apart.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining complex concepts in simple terms. During the interview, demonstrate your ability to communicate insights clearly and effectively. Use examples from past experiences where you successfully conveyed technical information to a non-technical audience.
✨Stay Current with Trends
Loop Horizon is all about staying ahead in the data-driven marketing space. Familiarise yourself with the latest tools and techniques, especially in AI. Bring up any recent developments or trends during your interview to show that you're proactive and passionate about continuous learning.
✨Ask Insightful Questions
Prepare thoughtful questions about Loop Horizon's approach to data science and their client projects. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals. Asking about team dynamics or growth opportunities can also highlight your eagerness to develop within the company.
