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For Companies At a Glance
- Tasks: Lead the creation of data-driven marketing solutions using advanced analytical techniques.
- Company: Join a dynamic team at the forefront of data-driven marketing innovation.
- Benefits: Enjoy flexible working options and access to cutting-edge technology.
- Why this job: Make a real impact in marketing while developing your skills in a collaborative environment.
- Qualifications: Experience in data science, particularly in advertising or marketing, is essential.
- Other info: Ideal for tech-savvy individuals passionate about leveraging data for marketing success.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a highly skilled and commercially minded Data Scientist to spearhead the development of analytical solutions for data driven marketing, leveraging supervised and unsupervised learning techniques to optimise the marketing chain (targeting, bid optimisation, messaging, media preference, text-to-speech).
Key Requirements
- Previous experience as a data scientist in an advertising / marketing agency
- Experience with big data platforms (AWS, Aurora, ElasticSearch)
- Experience with Natural Language Processing & Large Language Models
- Experience building Data Science tools or Agentic Frameworks
- Experience in AdTech or data-driven marketing
- Experience with scikit-learn or keras, pandas, and numpy
- Expert understanding of SQL & Python programming
Data Scientist employer: W Talent
Contact Detail:
W Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist
✨Tip Number 1
Make sure to showcase your experience with big data platforms like AWS and ElasticSearch during networking events or informal chats. This will help you connect with professionals in the field and demonstrate your hands-on knowledge.
✨Tip Number 2
Engage with online communities focused on Data Science, especially those that discuss Natural Language Processing and Large Language Models. Sharing insights and asking questions can help you build a network and learn about potential job openings.
✨Tip Number 3
Attend industry conferences or webinars related to AdTech and data-driven marketing. These events are great for meeting key players in the field and can often lead to job opportunities through personal connections.
✨Tip Number 4
Consider contributing to open-source projects or creating your own Data Science tools. This not only enhances your portfolio but also demonstrates your initiative and expertise to potential employers.
We think you need these skills to ace Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your previous experience as a data scientist, especially in advertising or marketing agencies. Emphasise your skills with big data platforms and any relevant projects you've worked on.
Showcase Technical Skills: Clearly outline your proficiency in SQL, Python, and libraries like scikit-learn, keras, pandas, and numpy. Provide specific examples of how you've used these tools in your past roles to solve problems or optimise processes.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data-driven marketing and how your experience aligns with the company's goals. Mention your familiarity with Natural Language Processing and Large Language Models, as well as any relevant achievements.
Prepare for Technical Questions: Anticipate technical questions related to your experience with analytical solutions and data science tools. Be ready to discuss specific projects where you applied supervised and unsupervised learning techniques.
How to prepare for a job interview at W Talent
✨Showcase Your Technical Skills
Be prepared to discuss your experience with big data platforms like AWS and ElasticSearch. Highlight specific projects where you used tools such as scikit-learn, Keras, pandas, and NumPy, and be ready to demonstrate your proficiency in SQL and Python.
✨Demonstrate Your Marketing Acumen
Since the role focuses on data-driven marketing, share examples of how you've applied data science techniques to optimise marketing strategies. Discuss any experience you have in AdTech and how it relates to the position.
✨Prepare for Problem-Solving Questions
Expect to face scenario-based questions that assess your analytical thinking and problem-solving skills. Practice explaining your thought process when tackling complex data challenges, especially those related to supervised and unsupervised learning.
✨Familiarise Yourself with NLP and LLMs
Given the emphasis on Natural Language Processing and Large Language Models, brush up on your knowledge in these areas. Be ready to discuss any relevant projects or research you've conducted, and how you can leverage these technologies in the role.
