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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.
Lead/Principal Data Scientist London – 3 days a week Up to £135,000 About the Company We’re working with a next-generation private markets firm that is redefining value creation by combining deep industry expertise with data science and machine learning. This is a unique opportunity to join a company that partners directly with portfolio companies to drive measurable operational and financial performance. They’re now hiring a Lead/Principal Data Scientist to lead machine learning projects across a wide variety of real-world domains. Working closely with a multidisciplinary team, you’ll have the autonomy to shape technical approaches while staying closely tied to commercial outcomes. This role is ideal for someone who enjoys solving complex, ambiguous business problems using data science, and wants to work at the intersection of technology, investment, and strategy. Key Responsibilities Translate complex business problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Act as a technical lead within project teams, mentoring mid-level data scientists and guiding model design choices Communicate findings and strategic insights to both technical and non-technical stakeholders Requirements: You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not just model accuracy. Proven experience applying data science in commercial settings Proven ability to lead data science projects from concept to production Deep understanding of statistical modelling, predictive analytics, and optimisation techniques Comfortable working with cross-functional teams, including engineers, product leads, and client stakeholders Bachelor’s or Master’s degree in a quantitative field (e.g., Mathematics, Physics, Engineering, Computer Science) from a strong university Excellent communication skills and a collaborative mindset Please note: This role cannot offer VISA sponsorship
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.
