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- Tasks: Lead a team to innovate and optimise data solutions for major brands.
- Company: Join RAPP, a global leader in precision marketing, leveraging data and creativity.
- Benefits: Enjoy a collaborative culture, innovative projects, and the chance to make a global impact.
- Why this job: Work on diverse projects, experiment with cutting-edge AI, and grow your skills in a fun environment.
- Qualifications: Degree in a relevant field and extensive experience in machine learning and data analysis required.
- Other info: Fast recruitment process with support throughout; we can’t wait to meet you!
The predicted salary is between 72000 - 84000 £ per year.
Role : Principal / Lead Data Scientist
Team / Department : Data Science Team within Marketing Sciences Department Line Manager : SVP, Head of Data Science Team Lead : SVP, Head of Data Science The Role
Are you a seasoned data scientist with a passion for leading teams and driving innovative solutions in the marketing industry? Do you thrive in dynamic, fast-paced environments where your expertise can make a tangible impact? If so, join our world-class Data Science team at RAPP as a Principal / Lead Data Scientist! Led by George Cushen ( you'll be at the forefront of leveraging AI to reinvent marketing for some of the world's biggest brands, including Ralph Lauren, KFC and Mercedes. The position is for a Principal or Lead Data Scientist depending on experience. What You’ll Do
- Innovate and Optimise: Design, build, and implement cutting-edge predictive models such as causal AI campaign modelling, campaign forecasting engines, pricing elasticity models, and recommender engines that drive media performance, personalise customer experiences, and optimise revenue for our clients.
- Lead and Mentor: Lead a team of data scientists, providing guidance, mentorship, and fostering their professional growth. Oversee multiple data science projects, ensuring they are delivered on time and meet or exceed client expectations. Depending on experience, there may be the opportunity for direct reports.
- 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.
Must-Have
What You’ll Bring:
- A degree 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
- A deep understanding of the marketing ecosystem, including media measurement solutions like media mix modelling.
- Experience with RNNs, 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!
About RAPP
We are RAPP – world leaders in activating growth with precision and empathy at scale. As a global, next-generation precision marketing agency we leverage data, creativity, technology, and empathy to foster client growth. We champion individuality in the marketing solutions we create, and in our workplace. We fight for solutions that adapt to the individual’s needs, beliefs, behaviours, and aspirations. We foster an inclusive workplace that emphasizes personal well-being. Recruitment process
We like to keep recruitment swift, lean, and individual and find that around 3 stages give all parties the opportunity to get to know each other. Plus, we have a team on hand to answer questions throughout the process. We are RAPP, and we can’t wait to meet you!
Seniority level
-
Seniority level
Not Applicable
Employment type
-
Employment type
Full-time
Job function
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Job function
Engineering and Information Technology
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Industries
Advertising Services
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Principal / Lead Data Scientist (London) employer: RAPP
Contact Detail:
RAPP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal / Lead Data Scientist (London)
✨Tip Number 1
Familiarise yourself with the latest trends in AI and marketing. Since this role involves leveraging AI to reinvent marketing, being well-versed in current technologies and methodologies will help you stand out during discussions.
✨Tip Number 2
Showcase your leadership skills by discussing any previous experience where you've mentored or led a team. This is crucial for the Principal/Lead Data Scientist role, so be prepared to share specific examples of how you've guided others.
✨Tip Number 3
Prepare to discuss your experience with predictive modelling and data analysis techniques. Be ready to explain how you've used these skills to drive business outcomes, as this will be a key focus in the interview process.
✨Tip Number 4
Practice communicating complex data insights in a clear and engaging manner. Since you'll need to present findings to both technical and non-technical audiences, honing this skill will be essential for success in the role.
We think you need these skills to ace Principal / Lead Data Scientist (London)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, particularly in building machine learning models and leading teams. Use specific examples that demonstrate your skills in Python, SQL, and other tools mentioned in the job description.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data science and leadership. Mention how your previous experiences align with the responsibilities of the Principal / Lead Data Scientist role and how you can contribute to RAPP's innovative projects.
Showcase Your Projects: Include a portfolio or links to projects that demonstrate your expertise in predictive modelling, A/B testing, and any relevant technologies like AWS or Docker. This will give the hiring team tangible evidence of your capabilities.
Prepare for Technical Questions: Anticipate technical questions related to data science methodologies and tools. Be ready to discuss your approach to problem-solving and how you've applied your skills in real-world scenarios, especially in marketing contexts.
How to prepare for a job interview at RAPP
✨Showcase Your Technical Skills
Be prepared to discuss your experience with machine learning models and the tools mentioned in the job description, such as Python, SQL, and cloud platforms. Bring examples of past projects where you successfully implemented these technologies.
✨Demonstrate Leadership Experience
Since this role involves leading a team, be ready to share specific instances where you've mentored others or led projects. Highlight your ability to foster growth and collaboration within a team.
✨Communicate Clearly
Practice explaining complex data science concepts in simple terms. You may need to present your findings to non-technical clients, so being able to distil your insights into clear, actionable recommendations is crucial.
✨Understand the Marketing Ecosystem
Familiarise yourself with the marketing landscape and how data science plays a role in it. Be prepared to discuss how your skills can contribute to optimising marketing strategies and driving client success.
