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- Tasks: Create models to optimise outreach and response rates using data analysis.
- Company: Join a dynamic client in the marketing and advertising sector.
- Benefits: Enjoy a competitive rate of £550-600 and flexible working arrangements.
- Why this job: Make a real impact in data-driven marketing while enhancing your skills.
- Qualifications: Extensive experience in Yield Optimisation, AWS or Azure, and SQL/Python coding required.
- Other info: This role is outside IR35 and offers a 6-month contract starting in May.
We are looking for a talented Data Scientist with a strong background in Yield Optimisation to join our client in the marketing / advertising space. You will be creating models based on panel, customer and survey data to optimise outreach and response rates.
You will need:
- Yield Optimisation experience - must be extensive / in depth.
- AWS or Azure experience
- SQL / Python coding
Data Scientist - Yield Optimisation - Outside IR35 employer: Investigo
Contact Detail:
Investigo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Yield Optimisation - Outside IR35
✨Tip Number 1
Network with professionals in the marketing and advertising sectors. Attend industry meetups or webinars where you can connect with data scientists and hiring managers who might have insights into the role and company culture.
✨Tip Number 2
Showcase your Yield Optimisation projects on platforms like GitHub or LinkedIn. Highlight specific outcomes and metrics that demonstrate your impact, as this will catch the attention of recruiters looking for tangible results.
✨Tip Number 3
Familiarise yourself with the latest trends and tools in Yield Optimisation, especially those related to AWS or Azure. Being able to discuss recent advancements or case studies during interviews can set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising SQL and Python coding challenges. Use platforms like LeetCode or HackerRank to sharpen your skills, as technical proficiency is crucial for this role.
We think you need these skills to ace Data Scientist - Yield Optimisation - Outside IR35
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasise your extensive experience in Yield Optimisation. Use specific examples from your past work that demonstrate your skills and successes in this area.
Showcase Technical Skills: Clearly outline your proficiency in SQL and Python, as well as any experience with AWS or Azure. Consider including a brief project description or achievement that showcases these skills.
Tailor Your CV: Customise your CV to align with the job description. Focus on the aspects of your experience that are most relevant to the role, particularly in marketing and advertising contexts.
Craft a Compelling Cover Letter: Write a cover letter that not only summarises your qualifications but also expresses your enthusiasm for the role. Mention why you are interested in working in the marketing/advertising space and how you can contribute to their goals.
How to prepare for a job interview at Investigo
✨Showcase Your Yield Optimisation Expertise
Make sure to prepare specific examples of your previous work in yield optimisation. Discuss the models you've created and how they improved outreach and response rates, as this will demonstrate your depth of knowledge in the field.
✨Demonstrate Technical Proficiency
Be ready to discuss your experience with SQL and Python. You might be asked to solve a coding problem or explain your approach to data analysis, so brush up on your technical skills and be prepared to showcase them.
✨Familiarise Yourself with Cloud Platforms
Since the role requires experience with AWS or Azure, ensure you understand the basics of these platforms. Be prepared to discuss how you've used them in past projects, as this will show your adaptability and technical competence.
✨Prepare Questions About the Company
Research the company and its position in the marketing and advertising space. Prepare insightful questions that reflect your interest in their work and how you can contribute to their goals, which will help you stand out as a candidate.
