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- Tasks: Build predictive models and create AI-driven solutions to optimise marketing strategies.
- Company: Join a leading precision marketing agency that blends data, tech, and creativity.
- Benefits: Enjoy a hybrid work model, competitive salary, and various corporate perks.
- Why this job: Be part of a dynamic team revolutionising marketing with cutting-edge data science and machine learning.
- Qualifications: Strong background in Computer Science or related fields; experience in machine learning and programming required.
- Other info: Opportunity to mentor junior data scientists and present findings to diverse stakeholders.
The predicted salary is between 60000 - 84000 £ per year.
London – Hybrid (3 days a week)
£70,000 - £90,000 + Benefits
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.
What You’ll Do
- Build predictive models for campaign optimisation, forecasting, and price elasticity analysis.
- Support junior data scientists while contributing to high-impact projects.
- Create and implement AI-driven solutions that personalise customer experiences and maximise marketing performance.
- Use A/B testing and advanced analytics to assess the real-world impact of data-driven strategies.
- Present findings to technical and non-technical stakeholders, driving data-led decision-making.
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 recommendation systems, segmentation, and marketing optimisation.
- Proficiency in Python, SQL, Bash, and Git, with hands-on experience in Jupyter notebooks, Pandas, and PyTorch.
- Familiarity with cloud platforms (AWS, Databricks, Snowflake) and containerisation tools (Docker, Kubernetes).
- Strong problem-solving skills and a passion for driving measurable business impact.
- Knowledge of marketing measurement techniques like media mix modelling.
- Exposure to advanced AI techniques (RNNs, NLP, GenAI, CausalAI, etc.).
If this role looks of interest, reach out to Joseph Gregory.
Senior Data Scientist employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network with professionals in the data science and marketing fields. Attend industry meetups, webinars, or conferences where you can connect with people who work at precision marketing agencies. This can help you gain insights into the company culture and potentially get a referral.
✨Tip Number 2
Showcase your practical experience with machine learning applications by working on personal projects or contributing to open-source initiatives. Highlight these projects on platforms like GitHub to demonstrate your skills in Python, SQL, and other relevant technologies.
✨Tip Number 3
Prepare to discuss your experience with A/B testing and analytics during interviews. Be ready to share specific examples of how you've used these techniques to drive marketing performance and decision-making in previous roles.
✨Tip Number 4
Familiarise yourself with the latest trends in AI and machine learning, especially those relevant to marketing. Being able to discuss advanced techniques like RNNs or NLP will show your passion for the field and your commitment to staying updated.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data science, machine learning, and any specific tools mentioned in the job description, such as Python, SQL, and cloud platforms. Use keywords from the job listing to ensure your application stands out.
Craft a Compelling Cover Letter: Write a cover letter that not only showcases your technical skills but also demonstrates your understanding of how data science can revolutionise marketing strategies. Mention specific projects or experiences that align with the responsibilities outlined in the job description.
Showcase Your Projects: If you have worked on relevant projects, especially those involving predictive modelling or AI-driven solutions, include them in your application. Provide links to your GitHub or portfolio to give potential employers a glimpse of your work.
Prepare for Interviews: Be ready to discuss your technical skills and past experiences in detail. Prepare examples of how you've used data science to drive business impact, and be prepared to explain complex concepts in simple terms for non-technical stakeholders.
How to prepare for a job interview at Harnham
✨Showcase Your Technical Skills
Be prepared to discuss your proficiency in Python, SQL, and machine learning applications. Bring examples of past projects where you built predictive models or implemented AI-driven solutions, as this will demonstrate your hands-on experience.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving skills. Practice explaining your thought process when tackling complex data challenges, especially those related to marketing optimisation and A/B testing.
✨Communicate Effectively with Stakeholders
Since you'll be presenting findings to both technical and non-technical stakeholders, practice simplifying complex concepts. Use clear language and visuals to convey your insights, ensuring everyone understands the data-driven decisions.
✨Demonstrate Your Passion for Data Science
Share your enthusiasm for the field by discussing recent trends or advancements in data science and machine learning. Highlight any personal projects or continuous learning efforts that showcase your commitment to staying updated in this rapidly evolving industry.
