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- Tasks: Lead data science projects and innovate marketing strategies using machine learning.
- Company: Join a precision marketing agency that combines data, tech, and creativity for client growth.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional development.
- Why this job: Be at the forefront of marketing innovation while mentoring a talented team.
- Qualifications: Strong background in Computer Science or related fields; experience in machine learning is essential.
- Other info: Work with cutting-edge tools and technologies in a collaborative environment.
The predicted salary is between 48000 - 84000 £ per year.
Recruitment Consultant – Machine Learning and AI (UK) at Harnham
Lead/Principal Data Scientist
London – Hybrid (3 days a week)
Our client is a precision marketing agency, leveraging data, technology, and creativity to fuel client growth. As part of their Marketing Sciences Data Science Team, you’ll play a pivotal role in revolutionising marketing strategies through cutting-edge Data Science and Machine Learning solutions.
This is still a largely hands-on role, with around 20% team leadership.
What You’ll Do
- Oversee data science projects, guide junior team members, and drive innovation.
- Build predictive models for campaign optimisation, customer segmentation, and price elasticity.
- Design and implement AI-powered solutions to solve complex marketing challenges.
- Use machine learning and statistical techniques to analyse trends and improve business outcomes.
- Work with cross-functional teams and present insights to technical and non-technical stakeholders.
What We’re Looking For
- A strong academic background in Computer Science, Mathematics, Physics, or a related field.
- Proven experience in machine learning applications such as recommendations, segmentation, forecasting, and marketing spend optimisation.
- Proficiency in Python, SQL, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, and PyTorch.
- Expertise in cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes).
- Strong leadership skills with experience mentoring and managing data science teams.
- Deep knowledge of media measurement techniques, such as media mix modelling.
- Experience with advanced AI techniques, including NLP, GenAI, and CausalAI.
- Familiarity with MLFlow, API design (FastAPI), and dashboard building (Dash).
If this role looks of interest, reach out to Joseph Gregory.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Analyst, Engineering, and Science
Industries
Marketing Services
#J-18808-Ljbffr
Principal Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Scientist
✨Tip Number 1
Familiarise yourself with the latest trends in machine learning and AI, especially those relevant to marketing. This will not only help you during interviews but also demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the data science and marketing sectors. Attend industry meetups or webinars to connect with potential colleagues and learn about their experiences, which can give you insights into the company culture.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented machine learning solutions. Be ready to explain your thought process, the challenges you faced, and how you overcame them.
✨Tip Number 4
Showcase your leadership skills by discussing any mentoring or team management experiences. Highlight how you've guided junior team members and contributed to a collaborative work environment.
We think you need these skills to ace Principal Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in machine learning and data science. Emphasise your proficiency in Python, SQL, and any cloud platforms you've worked with, as well as your leadership skills.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with the company's goals. Mention specific projects or achievements that demonstrate your expertise in predictive modelling and AI solutions.
Showcase Your Technical Skills: Include a section in your application that lists your technical skills, such as experience with Jupyter notebooks, Pandas, PyTorch, and any familiarity with advanced AI techniques like NLP or CausalAI. This will help you stand out to hiring managers.
Prepare for Interviews: If selected for an interview, be ready to discuss your previous projects in detail. Prepare to explain your thought process behind building predictive models and how you've used data to drive business outcomes. Practice articulating complex concepts for both technical and non-technical audiences.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, SQL, and any relevant tools like Jupyter notebooks or PyTorch. Bring examples of past projects where you applied machine learning techniques, as this will demonstrate your hands-on experience.
✨Demonstrate Leadership Experience
Since the role involves mentoring junior team members, be ready to share specific instances where you've led a team or guided others in data science projects. Highlight your leadership style and how you foster collaboration.
✨Prepare for Case Studies
Expect to tackle case studies or practical problems during the interview. Brush up on predictive modelling and campaign optimisation scenarios, as these are key aspects of the role. Practice articulating your thought process clearly.
✨Communicate Effectively with Stakeholders
You'll need to present insights to both technical and non-technical audiences. Prepare to explain complex concepts in simple terms and think about how you can tailor your communication style to different stakeholders.
