At a Glance
- Tasks: Join our team to innovate and optimize predictive models for top brands.
- Company: RAPP is a global creative agency leveraging data and technology for impactful marketing.
- Benefits: Enjoy a collaborative culture, flexible working, and the chance to work on diverse projects.
- Why this job: Make a real impact in a fast-paced environment while pushing the boundaries of AI in marketing.
- Qualifications: BSc in a relevant field and experience with machine learning, Python, and cloud platforms required.
- Other info: We value individuality and promote an inclusive workplace where creativity thrives.
The predicted salary is between 60000 - 84000 £ per year.
Are you passionate about using data to transform the future of marketing? Do you thrive in dynamic environments where every project brings new challenges and opportunities? If so, we want you to join our world-class Data Science team at RAPP! Led by George Cushen, our team of 8 talented data scientists is at the forefront of leveraging AI to reinvent marketing for some of the world’s biggest brands, including Virgin Media O2 and Mercedes.
As part of the Omnicom Precision Marketing Group (OPMG), we combine data-driven insights with cutting-edge technology to deliver unparalleled marketing solutions across a variety of industries. We’re not just looking for a data scientist; we’re looking for someone who’s eager to dive into diverse projects, collaborate with brilliant minds, and push the boundaries of what’s possible.
What You’ll Do:
- Innovate and Optimise: Design, build, and implement cutting-edge predictive models such as campaign forecasting engines, causal AI campaign modelling, pricing elasticity models, and recommender engines that drive media performance, personalise customer experiences, and optimise revenue for luxury fashion brands.
- Uncover Insights: Use predictive and prescriptive techniques to analyse data, uncover trends, and deliver actionable recommendations that make a real impact on our clients’ businesses.
- Build and Prototype: Develop data solutions, tools, and prototypes that showcase our capabilities and empower clients with self-service frameworks.
- Communicate Effectively: Present your findings and recommendations in a way that’s both clear and engaging, whether you’re talking to a technical team or a non-technical client.
- Collaborate and Document: Work closely with cross-functional teams in a fast-paced, entrepreneurial environment and ensure your processes are documented for scalability.
What You’ll Bring:
Must-Have:
- A BSc in Computer Science, Mathematics, Physics, or a related field.
- Extensive experience in building machine learning models for tasks like recommendations, segmentation, forecasting, and optimising marketing spend.
- Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more.
- Experience with A/B testing and other experimentation methods to validate model performance and business impact.
- Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines.
- Strong problem-solving skills, creativity, and attention to detail.
- Excellent communication skills with the ability to distil complex analyses into insights that clients can easily understand and act on.
Nice-to-Have:
- Advanced degrees (MSc or PhD) in a relevant field.
- A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling.
- Experience with NLP, Computer Vision, GenAI, CausalAI, GraphAI, and advanced techniques.
- Familiarity with versioning models (MLFlow), API design (FastAPI), and building custom dashboards (Dash).
Why You’ll Love It Here:
- Variety and Challenge: No two projects are the same. You’ll work across multiple industries, constantly learning and growing as you tackle new problems.
- Innovation at the Core: We’re at the cutting edge of AI and marketing, and you’ll have the freedom to experiment, innovate, and shape the future.
- Collaborative and Fun Culture: We’re a tight-knit team that values collaboration, creativity, and having fun while doing great work.
- Global Impact: As part of Omnicom, you’ll be contributing to projects that have a global impact, working with some of the biggest brands in the world.
If you’re excited by the prospect of joining a fast-paced, innovative environment where you can make a tangible difference, we’d love to hear from you!
Principal Data Scientist (Freelance) employer: RAPP
Contact Detail:
RAPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist (Freelance)
✨Tip Number 1
Familiarize yourself with the latest trends in AI and marketing analytics. Since RAPP is at the forefront of leveraging AI, showcasing your knowledge in these areas during discussions can set you apart.
✨Tip Number 2
Prepare to discuss specific projects where you've successfully implemented machine learning models. Be ready to explain your thought process and the impact your work had on previous clients or projects.
✨Tip Number 3
Highlight your experience with cloud platforms and containerization tools. RAPP values hands-on experience, so be prepared to discuss how you've used these technologies to optimize data solutions.
✨Tip Number 4
Practice communicating complex data insights in a clear and engaging manner. Since you'll be presenting to both technical and non-technical audiences, demonstrating this skill can greatly enhance your candidacy.
We think you need these skills to ace Principal Data Scientist (Freelance)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with machine learning models, Python, SQL, and any relevant tools like Jupyter notebooks or Pandas. Emphasize projects that showcase your ability to innovate and optimize marketing strategies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and marketing. Mention specific projects or experiences that align with the job description, particularly those involving predictive modeling and collaboration in fast-paced environments.
Showcase Communication Skills: Prepare to demonstrate your ability to communicate complex analyses clearly. Consider including examples of how you've presented findings to both technical and non-technical audiences in previous roles.
Highlight Collaborative Experience: Discuss your experience working in cross-functional teams. Provide examples of how you’ve collaborated with others to achieve project goals, especially in dynamic settings where adaptability is key.
How to prepare for a job interview at RAPP
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Python, SQL, and machine learning models. Bring examples of projects where you've built predictive models or used A/B testing to validate performance.
✨Communicate Clearly
Practice explaining complex data analyses in simple terms. You may need to present your findings to both technical and non-technical audiences, so clarity is key.
✨Demonstrate Problem-Solving Abilities
Prepare to discuss specific challenges you've faced in previous projects and how you approached solving them. Highlight your creativity and attention to detail.
✨Emphasize Collaboration Experience
RAPP values teamwork, so be ready to share examples of how you've worked with cross-functional teams. Discuss how you document processes for scalability and ensure everyone is on the same page.