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- Tasks: Analyse data to drive marketing effectiveness and create impactful insights.
- Company: Join a global leader in AI-powered marketing solutions.
- Benefits: Competitive salary, performance bonuses, hybrid work model, and career progression.
- Other info: Dynamic team environment with opportunities for leadership and professional growth.
- Why this job: Make a real impact with data while working on exciting global projects.
- Qualifications: Experience in data science, econometrics, and proficiency in Python, R, or SQL.
The predicted salary is between 60000 - 95000 £ per year.
Do you want to work with a business that is a global leader in Marketing Effectiveness and AI-powered solutions? A business that since 2006 has partnered with international brands across Auto, Beauty, Retail and Financial Services, delivering measurable, real-world impact from data?
An opportunity to join a mission-driven AI and data science consultancy that excels at delivering AI impact at scale, while staying committed to responsible, sustainable and frugal AI. You’ll work within projects from data strategy and collection through to modelling, insight generation and activation, applying econometrics, regression, Bayesian statistics and machine learning to complex marketing and customer datasets.
You’ll translate analytics into clear commercial recommendations, build dashboards and visual storytelling tools, and act as the day-to-day client contact, running workshops and senior-level presentations.
They’re hiring multiple Data Scientists from mid-level to leadership in their Data Science team, creating clear progression, rapid growth, and genuine opportunities to step into leadership, contribute to thought leadership, and expand existing client accounts.
The role offers £60k–£95k base, plus individual and company performance bonus, a hybrid working model (2 days in office), and exposure to global clients and projects across multiple industries.
If it ticks those boxes, don't hang about - apply or email me.
Data Scientist - Marketing Effectiveness - £65k-£95k - MMM - AI in London employer: Opus Recruitment Solutions Ltd
Contact Detail:
Opus Recruitment Solutions Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Marketing Effectiveness - £65k-£95k - MMM - AI in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, R, or AI. We love seeing real-world applications of your work, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by practising common data science questions and case studies. We recommend simulating the interview environment with friends or mentors to build confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re always looking for passionate individuals who want to make an impact in marketing effectiveness and AI.
We think you need these skills to ace Data Scientist - Marketing Effectiveness - £65k-£95k - MMM - AI in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Scientist role. Highlight your experience with econometrics, Bayesian statistics, and any relevant projects you've worked on using Python, R, or SQL. We want to see how your skills align with our mission in Marketing Effectiveness!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and data science, and how you can contribute to our projects. Be sure to mention specific experiences that relate to the job description – we love seeing real-world examples!
Showcase Your Projects: If you've worked on any interesting data projects, don’t forget to showcase them! Whether it's building dashboards or applying machine learning techniques, we want to see your practical experience. Include links to your work if possible – it really helps us get a sense of your capabilities.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to fill out all the necessary details without missing anything. Plus, it shows us you’re serious about joining our team!
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your econometrics, Bayesian statistics, and machine learning concepts. Be ready to discuss how you've applied these in real-world scenarios, especially in marketing effectiveness. They’ll want to see that you can translate complex data into actionable insights.
✨Showcase Your Technical Skills
Familiarise yourself with the tools mentioned in the job description, like Python, R, SQL, and Databricks. Prepare to demonstrate your proficiency in these areas, perhaps by discussing a project where you used them to solve a problem or improve a process.
✨Prepare for Client Interaction
Since this role involves client contact, think about how you would run workshops or present findings to senior stakeholders. Practice explaining technical concepts in simple terms, as they’ll be looking for someone who can communicate effectively with clients.
✨Understand Their Mission
Research the company’s commitment to responsible and sustainable AI. Be prepared to discuss how you align with their values and how you can contribute to their mission of delivering measurable impact from data. This shows you’re not just interested in the role, but also in the company’s goals.