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- Tasks: Analyse complex datasets to uncover consumer insights and drive marketing strategies.
- Company: Fast-scaling AI-driven organisation with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the world of data-driven marketing.
- Qualifications: 3+ years experience in Python and strong background in Consumer Analytics.
- Other info: Exciting projects using cutting-edge Machine Learning and NLP techniques.
The predicted salary is between 48000 - 64000 £ per year.
We are seeking a Data Scientist to join a growing Data & Innovation team within a fast-scaling AI-driven organisation. You’ll work with a wide variety of cross-channel digital signals, leveraging advanced Machine Learning, NLP, and Computer Vision techniques to uncover powerful consumer insights.
These insights will shape media, marketing, influencer, and creative strategies, helping clients capture market share and build deeper connections with their customers.
Key Responsibilities- Combine and analyse large, complex datasets (structured and unstructured) to extract consumer insights.
- Apply Machine Learning, NLP, and Computer Vision methods to develop innovative products and solutions.
- Prototype and validate new technical ideas, bringing cutting-edge research into production.
- Work with clients to translate insights into actionable strategies that drive growth.
- Implement production-level coding practices, including unit testing and documentation.
- Communicate complex technical concepts to non-technical stakeholders.
- ~3+ years’ experience working with Python for data preparation, aggregation, and transformation.
- Strong background in Consumer or Marketing Analytics, with passion for digital, social, and mobile media.
- Proven experience applying ML/statistical methodologies to large datasets (~1TB).
- Experience building NLP and Computer Vision products with engaged user bases.
- Knowledge of open-source NLP & CV libraries and ability to apply the latest research into real-world applications.
- Skilled in explaining technical findings to business audiences in clear, concise English.
- Degree in a quantitative field (Data Science, Statistics, Mathematics, Computer Science, or similar); Master’s preferred.
Please note, this role cannot offer sponsorship.
Data Marketing Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Marketing Scientist
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Data Marketing Scientist role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Machine Learning, NLP, and Computer Vision. We love seeing real-world applications of your work, so make sure to highlight your best stuff!
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable explaining complex concepts in simple terms.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always on the lookout for passionate candidates who are ready to dive into the world of data and marketing.
We think you need these skills to ace Data Marketing Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Marketing Scientist role. Highlight your experience with Python, Machine Learning, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background in consumer or marketing analytics makes you a great fit for us. Keep it engaging and personal – we love to see your personality!
Showcase Your Projects: If you've worked on any cool projects involving NLP or Computer Vision, make sure to mention them! We’re interested in seeing how you’ve applied your skills in real-world scenarios. Include links to your GitHub or portfolio if you have one!
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 don’t miss out on any important updates. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Harnham
✨Know Your Data Inside Out
Make sure you’re well-versed in the datasets you’ll be working with. Brush up on your experience with Python, especially in data preparation and transformation. Be ready to discuss specific projects where you’ve combined and analysed large datasets, as this will show your hands-on expertise.
✨Showcase Your Technical Skills
Prepare to talk about your experience with Machine Learning, NLP, and Computer Vision. Have examples ready that demonstrate how you've applied these techniques to real-world problems. This is your chance to shine, so don’t hold back on sharing your innovative ideas and solutions!
✨Communicate Clearly
Since you’ll need to explain complex concepts to non-technical stakeholders, practice simplifying your technical jargon. Think of ways to convey your findings in clear, concise English. You might even want to prepare a few analogies or visuals to help illustrate your points during the interview.
✨Understand the Company’s Goals
Research the company and its clients to understand their market position and challenges. Tailor your insights and strategies to align with their goals. Showing that you can translate data into actionable strategies for growth will set you apart from other candidates.
