At a Glance
- Tasks: Build and refine machine learning models and design A/B tests for marketing.
- Company: Harnham, a rapidly scaling Data Science company in Greater London.
- Benefits: Hybrid working model, competitive salary, and opportunities for impactful projects.
- Other info: Collaborate with analysts and stakeholders in a fast-paced environment.
- Why this job: Join a dynamic team and make a real difference in marketing analytics.
- Qualifications: Strong foundations in machine learning and excellent communication skills.
The predicted salary is between 50000 - 70000 € per year.
Harnham in Greater London is seeking a Data Scientist to join its rapidly scaling Data Science function. The role focuses on building and refining machine learning and statistical models, while also designing A/B tests to maximize marketing effectiveness. As part of a hybrid working model, candidates will collaborate closely with analysts and stakeholders to contribute to impactful projects.
The ideal candidate should have strong foundations in machine learning, be hands-on, and have excellent communication skills for data storytelling.
Data Scientist — Marketing Analytics & Experimentation in London employer: Harnham
Harnham is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of Greater London. With a strong emphasis on employee growth, we offer numerous opportunities for professional development and hands-on experience in cutting-edge data science projects. Our hybrid working model ensures flexibility while allowing you to engage closely with talented colleagues and stakeholders, making your contributions impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist — Marketing Analytics & Experimentation in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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 machine learning projects and A/B tests. This will not only demonstrate your hands-on experience but also give you great talking points during interviews.
✨Tip Number 3
Prepare for those interviews! Brush up on your data storytelling skills and be ready to explain your thought process behind your models and experiments. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented data scientists like you. Plus, it’s a great way to ensure your application gets noticed by the right people.
We think you need these skills to ace Data Scientist — Marketing Analytics & Experimentation in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with machine learning and statistical models in your application. We want to see how hands-on you are, so don’t hold back on sharing specific projects or tools you've used!
Data Storytelling is Key:Since communication is crucial for this role, include examples of how you've effectively communicated complex data insights in the past. We love a good data story, so let us know how you made your findings relatable!
Tailor Your Application:Take a moment to customise your CV and cover letter for this role. We’re looking for candidates who understand the marketing analytics space, so make sure to align your experiences with what we’re after.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensures you get all the updates about the process. Plus, it’s super easy!
How to prepare for a job interview at Harnham
✨Know Your Models
Make sure you brush up on your machine learning and statistical models. Be ready to discuss the models you've built or refined in the past, and how they contributed to marketing effectiveness. This will show that you have the hands-on experience they're looking for.
✨A/B Testing Insights
Prepare to talk about your experience with A/B testing. Have specific examples ready where your tests led to significant insights or improvements. This will demonstrate your ability to design effective experiments and contribute to impactful projects.
✨Data Storytelling Skills
Since communication is key, think about how you can present complex data in a simple, engaging way. Practice explaining your past projects as if you're telling a story, highlighting the problem, your approach, and the results. This will showcase your excellent communication skills.
✨Collaborative Mindset
As the role involves working closely with analysts and stakeholders, be prepared to discuss how you've collaborated in the past. Share examples of teamwork and how you’ve effectively communicated your findings to non-technical audiences. This will highlight your ability to work in a hybrid environment.
