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For Companies At a Glance
- Tasks: Lead machine learning projects in marketing, focusing on recommenders and optimization.
- Company: Join a dynamic marketing consultancy in London with a hybrid work model.
- Benefits: Enjoy a competitive salary up to £85,000 plus additional benefits.
- Why this job: Work on cutting-edge GenAI and NLP projects while collaborating with a talented engineering team.
- Qualifications: Strong data science background required; MSc in a STEM field preferred.
- Other info: This role cannot sponsor visas.
The predicted salary is between 68000 - 102000 £ per year.
Job Description
Senior Data Scientist
Location: London – Hybrid (3 days a week)
Salary: Up to £85,000 + benefits
This is a great opportunity for a Senior Data Scientist to join an exciting marketing consultancy.
THE ROLE
In this role you will:
- Drive machine learning projects across recommenders, segmentation, forecasting and optimising marketing spend
- Work on advanced projects across GenAI and NLP
- Work closely with an Engineering team, whilst remaining full stack in your projects
- Report into Head of Data Science
- Drive commercial value closely with senior stakeholders
Skills And Experience
- Strong Data Science/Statistical fundamental knowledge is required
- Experience across some of recommenders, forecasting, pricing, churn, marketing etc. – this is a role for a generalist!
- Exposure to some of GenAI, NLP, Computer Vision is a bonus
- MSc in a STEM subject (Maths, Physics, Data Science, Computer Science, Engineering etc.)
- Strong communication skills, and commercially driven
Note: This role cannot sponsor.
How To Apply
Please register your interest for this role by sending your CV to Kiran Ramasamy via the apply link on this page.
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Senior Data Scientist - Marketing employer: ZipRecruiter
Contact Detail:
ZipRecruiter Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist - Marketing
✨Tip Number 1
Make sure to showcase your experience with machine learning projects, especially in areas like recommenders and forecasting. Highlight any specific projects where you drove commercial value, as this will resonate well with the hiring team.
✨Tip Number 2
Since this role involves working closely with an Engineering team, emphasize your ability to collaborate across disciplines. Share examples of how you've successfully worked with engineers or other technical teams in the past.
✨Tip Number 3
Familiarize yourself with the latest trends in GenAI and NLP, as these are mentioned as beneficial skills. Consider discussing any relevant projects or coursework that demonstrate your knowledge in these areas during your conversations.
✨Tip Number 4
Prepare to discuss your strong communication skills and how they have helped you engage with senior stakeholders. Think of specific instances where your communication made a significant impact on project outcomes.
We think you need these skills to ace Senior Data Scientist - Marketing
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data science, particularly in areas like machine learning, recommenders, and marketing analytics. Use specific examples to demonstrate your skills and achievements.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and marketing. Mention how your background aligns with the role's requirements and express your enthusiasm for working with senior stakeholders.
Highlight Relevant Projects: In your application, emphasize any relevant projects you've worked on, especially those involving GenAI, NLP, or advanced analytics. This will show your capability to handle the responsibilities of the role.
Showcase Communication Skills: Since strong communication skills are essential for this role, consider including examples of how you've effectively communicated complex data insights to non-technical stakeholders in your application.
How to prepare for a job interview at ZipRecruiter
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning projects, especially in areas like recommenders and forecasting. Highlight specific examples where you've driven commercial value through data science.
✨Demonstrate Full Stack Knowledge
Since the role requires a full stack approach, be ready to explain how you integrate different aspects of data science, from data collection to model deployment. This will show your versatility and depth of knowledge.
✨Communicate Effectively
Strong communication skills are essential. Practice explaining complex data science concepts in simple terms, as you'll need to convey your findings to senior stakeholders who may not have a technical background.
✨Prepare for GenAI and NLP Discussions
Even if your experience with GenAI and NLP is limited, familiarize yourself with current trends and applications in these areas. Showing enthusiasm and a willingness to learn can set you apart from other candidates.
