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For Companies At a Glance
- Tasks: Design, analyze, and optimize data to drive marketing performance.
- Company: Join a top media conglomerate focused on marketing excellence.
- Benefits: Earn up to £70,000 with hybrid work options in London.
- Why this job: Make an impact by leveraging data for business growth in a dynamic environment.
- Qualifications: Strong skills in SQL, Python or R, and experience in predictive analytics required.
- Other info: Collaborate with stakeholders to translate business needs into actionable data insights.
The predicted salary is between 42000 - 84000 £ per year.
MARKETING DATA SCIENTIST
UP TO £60,000
LONDON
Make sure to apply with all the requested information, as laid out in the job overview below.
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:
- Understanding business problems, creating data science solutions and delivering insights and recommendations
- Working directly with clients and helping the team to give recommendations and answer questions
- Working on projects across clustering, propensity modelling, regression and more
- Building data visualisations and dashboards for clients
YOUR SKILLS AND EXPERIENCE:
- Strong technical experience in SQL and Python
- Experience in data visualisation
- Proven track record working across propensity modelling, clustering, forecasting, regression and more
- Strong commercial and stakeholder management expertise
THE BENEFITS:
- Up to £60,000
- Hybrid working
Marketing Data Scientist employer: Harnham
Contact Detail:
Harnham 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
Prepare to discuss real-world examples of how you've used data analysis to drive marketing decisions. Highlight any predictive models you've developed and the impact they had on business outcomes, as this will showcase your ability to translate data into actionable insights.
✨Tip Number 3
Research the company’s recent marketing initiatives and data-driven projects. Being knowledgeable about their current strategies will allow you to engage in meaningful conversations and show that you're genuinely interested in contributing to their success.
✨Tip Number 4
Strengthen your stakeholder management skills by preparing to discuss how you've collaborated with different teams in the past. Emphasizing your ability to communicate complex data insights to non-technical stakeholders will be crucial for this role.
We think you need these skills to ace Marketing Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Python or R, and data visualization. Emphasize any relevant projects or roles that demonstrate your statistical analysis and predictive analytics skills.
Craft a Compelling Cover Letter: In your cover letter, explain how your background aligns with the responsibilities of the Marketing Data Scientist role. Mention specific examples of how you've used data to drive business growth and optimize performance.
Showcase Stakeholder Management Skills: Highlight your experience in managing stakeholders effectively. Provide examples of how you've communicated complex data insights to non-technical audiences, as this is crucial for the role.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Harnham
✨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, as well as any data visualization tools you've worked with.
✨Demonstrate Your Analytical Thinking
Prepare examples that showcase your ability to conduct statistical analysis and develop predictive models. Discuss how your insights have led to actionable business decisions in previous roles.
✨Understand the Business Context
Research the company and its subsidiary's focus on marketing performance. Be ready to discuss how your work as a Marketing Data Scientist can align with their business goals and contribute to their success.
✨Engage with Stakeholders
Highlight your strong stakeholder management skills by preparing to discuss how you've effectively communicated technical requirements to non-technical team members in the past. This will demonstrate your ability to bridge the gap between data science and business needs.
