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 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 with talented colleagues and contribute to meaningful marketing analytics initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist — Marketing Analytics & Experimentation
✨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 test designs. This will not only demonstrate your hands-on experience but also give you something tangible to discuss 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 that might just be the perfect fit for you. Plus, applying directly shows your enthusiasm and commitment to joining our team.
We think you need these skills to ace Data Scientist — Marketing Analytics & Experimentation
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!
Tell a Story with Data:Since communication is key for us, use your application to demonstrate your data storytelling skills. Share examples of how you've turned complex data into actionable insights that made a difference in past projects.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specifics of the Data Scientist role. We love seeing candidates who understand our needs and can articulate how they fit.
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 in our rapidly scaling Data Science function!
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 specific algorithms you've used, how they performed, and the impact they had on previous projects. This shows you’re not just familiar with theory but can apply it practically.
✨A/B Testing Insights
Since the role involves designing A/B tests, come prepared with examples of tests you've conducted. Discuss the hypotheses you formed, the metrics you tracked, and the outcomes. This will demonstrate your hands-on experience and understanding of marketing effectiveness.
✨Data Storytelling Skills
Communication is key! Practice explaining complex data insights in a simple, engaging way. Think about how you can turn numbers into narratives that resonate with stakeholders. This will highlight your ability to bridge the gap between data and decision-making.
✨Collaborative Mindset
As this role involves working closely with analysts and stakeholders, be ready to talk about your teamwork experiences. Share examples of how you’ve collaborated on projects, resolved conflicts, or contributed to a team’s success. This will show you’re a great fit for their hybrid working model.
