At a Glance
- Tasks: Own analytical workstreams, build models, and deliver insights that drive business decisions.
- Company: Join Loop Horizon, a boutique consultancy transforming brands into data-driven powerhouses.
- Benefits: Enjoy competitive salary, 25 days holiday, private healthcare, and flexible working options.
- Other info: Be part of a vibrant team with regular social activities and excellent growth opportunities.
- Why this job: Make an immediate impact while developing your skills in a supportive, dynamic environment.
- Qualifications: 2+ years in data analytics or science, strong STEM background, and 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. 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
Desirable:
- 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:
- 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
- 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
Please note, only candidates with permanent right to work in the UK will be considered.
Associate Data Scientist in Slough employer: LOOP HORIZON
Loop Horizon is an exceptional employer that fosters a vibrant and dynamic work culture, where early-career professionals can thrive as they contribute to impactful client projects. With a strong focus on employee growth, we offer competitive salaries, generous holiday allowances, and a flexible benefits scheme, all while promoting a healthy work-life balance through hybrid working arrangements. Join us to develop your skills alongside experienced colleagues in a supportive environment that values curiosity and initiative.
StudySmarter Expert Advice🤫
We think this is how you could land Associate Data Scientist in Slough
✨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 data projects, analyses, and any cool models you've built. 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. Get comfortable explaining your thought process and how you tackle problems, as this is key for roles like the Associate Data Scientist at Loop Horizon.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're genuinely interested in joining our team at Loop Horizon.
We think you need these skills to ace Associate Data Scientist in Slough
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. We want to see how you can own analytical workstreams!
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and enthusiasm for the role. Share why you're excited about working at Loop Horizon and how your curiosity drives you to tackle ambiguous problems. Let us know how you can contribute to our team!
Showcase Your Communication Skills:As a data scientist, you'll need to explain complex ideas to non-technical stakeholders. In your application, demonstrate your ability to communicate clearly and effectively. Use examples from past experiences where you successfully conveyed technical information.
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 us you’re proactive and keen to join our team at Loop Horizon!
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 coursework, as this will show your solid technical foundation.
✨Communicate Clearly
Since you'll need to explain complex data concepts to non-technical stakeholders, practice simplifying your explanations. Think of examples from your experience where you successfully communicated insights and how they impacted decision-making.
✨Show Your Curiosity
Loop Horizon values a proactive attitude, so come prepared with questions about their projects and the tools they use. This not only shows your interest but also your eagerness to learn and grow within the role.
✨Familiarise Yourself with Their Tools
If you have experience with cloud platforms or marketing analytics tools, be sure to mention it. Even if you haven't used them directly, showing that you're aware of these technologies and eager to learn can set you apart.
