At a Glance
- Tasks: Own analytical workstreams, build models, and deliver insights that drive real business decisions.
- Company: Join Loop Horizon, a boutique consultancy transforming brands into data-driven marketing leaders.
- Benefits: Enjoy 25 days holiday, private healthcare, flexible benefits, and hybrid working options.
- Other info: Vibrant team culture with regular social activities and excellent growth opportunities.
- Why this job: Make an immediate impact while developing your skills in a supportive, dynamic team.
- Qualifications: 2+ years in data analytics or machine learning; strong STEM background required.
The predicted salary is between 30000 - 42000 € per year.
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. Our success is built through enduring relationships with our clients by focusing on outcome-based deliverables. 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.
Job Overview
We are seeking a driven Associate Data Scientist to join our growing team at Loop Horizon. This role suits someone with solid technical foundations who is eager to take on responsibility and learns quickly by doing. 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. That said, we're looking for someone who is naturally curious and proactive - someone who enjoys figuring things out and takes ownership of their work. 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.
Responsibilities
- Own analytical workstreams within client engagements, delivering robust solutions with senior support as required.
- 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.
- Tackle ambiguous problems with initiative, while knowing when to collaborate or escalate.
- Keep pace with emerging tools and techniques - particularly in AI - and look for opportunities to apply them.
Skills and Qualifications:
Required:
- 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 (e.g., regression, classification, clustering), when to apply them and how to evaluate results.
- Strong communicator - able to explain technical work clearly to non-technical audiences.
- Experience with marketing data, digital behavioural data (Adobe Analytics/GA4) and marketing analytics use cases (e.g., segmentation, attribution, propensity modelling) is beneficial but not required.
- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and data warehousing technologies (e.g., Databricks, BigQuery, Redshift) is a big plus.
- Comfortable using Git for versioning and collaboration.
Our Commitment to You:
- 25 days holiday, plus an additional 3 days leave between Christmas and New Year.
- 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.
- Shares in company after one years’ service.
- 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.
We are unable to provide sponsorship, therefore only applicants with the right to work in the UK will be accepted.
Associate Data Scientist in 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-driven marketing. With a strong commitment to employee growth, we offer excellent development opportunities alongside experienced mentors, flexible working arrangements, and a comprehensive benefits package including private healthcare and generous holiday allowances. Join us in a collaborative environment where your curiosity and initiative are valued, and enjoy the chance to work with world-leading brands while advancing your career.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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 related to data analytics and machine learning. 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 practising common data science questions and case studies. Make sure you can explain your thought process clearly, as communication is key when dealing with non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are genuinely interested in joining our team at Loop Horizon.
We think you need these skills to ace Associate Data Scientist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Associate Data Scientist role. Highlight your relevant experience in data analytics, machine learning, and any projects that showcase your skills. We want to see how you can make an impact!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about joining Loop Horizon and how your background aligns with our mission. Be genuine and let your personality come through.
Showcase Your Technical Skills:Since we're looking for someone with solid technical foundations, make sure to highlight your SQL and Python skills. Mention any relevant tools or techniques you've used, especially in data manipulation and analysis.
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 shows you’re keen on joining our team!
How to prepare for a job interview at LOOP HORIZON
✨Know Your Data Science Basics
Make sure you brush up on your core machine learning techniques like regression, classification, and clustering. Be ready to discuss how you've applied these in past projects or how you would approach a hypothetical problem.
✨Show Off Your SQL and Python Skills
Since the role requires fluent SQL skills and proficiency in Python, prepare to demonstrate your abilities. You might be asked to solve a data manipulation problem on the spot, so practice common tasks beforehand.
✨Communicate Clearly
You’ll need to explain technical concepts to non-technical stakeholders, so practice simplifying complex ideas. Think of examples from your experience where you successfully communicated insights to a diverse audience.
✨Be Curious and Proactive
Loop Horizon values curiosity and initiative. Prepare to discuss times when you took ownership of a project or solved an ambiguous problem. Show them that you're eager to learn and adapt to new tools and techniques.
