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For Companies At a Glance
- Tasks: Design, analyze, and optimize data models to drive marketing performance.
- Company: Join a top media conglomerate focused on innovative marketing solutions.
- Benefits: Enjoy a hybrid work model and competitive salary up to £70,000.
- Why this job: Make an impact by leveraging data to enhance business growth and customer insights.
- Qualifications: Strong skills in SQL, Python or R, and experience in statistical analysis required.
- Other info: Opportunity to work with a leading team in a dynamic industry.
The predicted salary is between 42000 - 84000 £ per year.
Job Description
Marketing Data Scientist
Up to £60,000
Hybrid – London
A great opportunity to join a leading customer data science company as a Marketing Data Scientist
THE BUSINESS
The business is a global leader in customer data science, empowering businesses to compete and thrive in the modern-data driven economy always putting the customer first. Enabling businesses to grow and diversify by utilising and understanding data and ensuring the customer is put first.
Joining the business as a Marketing Data Scientist, you'd be helping to scope out business problems, creating data science solutions for these problems and then delivering insights and recommendations of the back of it.
THE ROLE AND RESPONSIBILITIES
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Understanding business problems, creating data science solutions and delivering insights and recommendations
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Working directly with clients and helping the team to give recommendations and answer questions
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Working on projects across clustering, propensity modelling, regression and more
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Building data visualisations and dashboards for clients
YOUR SKILLS AND EXPERIENCE
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Strong technical experience in SQL and Python
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Experience in data visualisation
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Proven track record working across propensity modelling, clustering, forecasting, regression and more
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Strong commercial and stakeholder management expertise
THE BENEFITS
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Up to £60,000
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Hybrid
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London
HOW TO APPLY
If interested in the role please send your CV to Jordan Victor via the Apply Link below
Marketing Data Scientist employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Marketing Data Scientist
✨Tip Number 1
Familiarize yourself with the specific data tools and technologies mentioned in the job description, such as SQL, Python, or R. Having hands-on experience with these tools will not only boost your confidence but also demonstrate your technical proficiency during discussions.
✨Tip Number 2
Research the company’s recent marketing campaigns and data-driven projects. Being able to discuss their strategies and how you can contribute to their goals will show that you are genuinely interested in the role and the company.
✨Tip Number 3
Prepare to discuss your previous experiences with data analysis and how they relate to marketing performance. Use specific examples that highlight your ability to translate business needs into actionable insights.
✨Tip Number 4
Network with current or former employees of the company on platforms like LinkedIn. Engaging with them can provide you with insider knowledge about the company culture and expectations, which can be invaluable during the interview process.
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Marketing Data Scientist position. Understand the key responsibilities and required skills, such as SQL, Python, R, and data visualization.
Tailor Your CV: Customize your CV to highlight relevant experience and skills that align with the job requirements. Emphasize your background in statistical analysis and any projects where you've built predictive models.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and marketing. Mention specific examples of how you've used data to drive business decisions and optimize performance.
Highlight Relevant Projects: Include details about specific projects or experiences that demonstrate your ability to collect and analyze data, as well as your proficiency in translating business needs into technical requirements.
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Showcase Your Technical Skills
Make sure to highlight your experience with SQL, Python, or R during the interview. Be prepared to discuss specific projects where you utilized these skills to solve real-world problems.
✨Understand the Business Context
Familiarize yourself with the company's business model and how data science can drive marketing performance. Be ready to discuss how your work can align with their goals and contribute to their success.
✨Prepare for Case Studies
Expect to tackle case studies or practical scenarios during the interview. Practice analyzing data sets and presenting your findings clearly, as this will demonstrate your analytical thinking and problem-solving abilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they leverage data for marketing decisions. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
