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For Companies At a Glance
- Tasks: Analyze data, develop ML models, and present insights to leadership.
- Company: Join a global leader in data solutions for telecoms, partnering with 150+ organizations.
- Benefits: Enjoy remote work flexibility and the chance to drive innovation.
- Why this job: Be a key player in transforming data into impactful strategies and insights.
- Qualifications: Expertise in Python, R, SQL, and cloud platforms required; telecom experience is a plus.
- Other info: This role does not offer sponsorship.
The predicted salary is between 48000 - 64000 £ per year.
Senior Data Scientist – 1 day a month in London
We are working with a telecoms company looking to add a Senior Data Scientist to their newly formed, cross-functional MarTech team. This team brings knowledge from Marketing, Data Science, Data Engineering and Product Development whilst working closely with the broader data teams to ensure integration and delivery.
We are looking for a Senior Data Scientist with experience in the digital marketing domain, to drive the development of advanced analytics and modeling solutions to inform and optimise paid media marketing strategies. You will manage a small team of 3 data scientists and report into a lead.
Responsibilities:
- Design and implement segmentation models and propensity models to create actionable customer groups for targeted marketing strategies
- Build and optimise value-based bidding models and first-party enrichments to maximise ROAS and relevant business growth metrics
- Develop and refine attribution models (e.g., multi-touch, data-driven attribution) to measure and improve the effectiveness of digital marketing campaigns
- Analyse and interpret marketing data from various sources (including GA4, Snowplow, ad platforms, etc)
- Partner with the analytics engineer to build features and data enrichments, while ensuring data accuracy for modeling purposes
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
Familiarize yourself with the telecom industry and its data challenges. Understanding the specific needs and trends in this sector will help you tailor your insights and demonstrate your value during discussions.
✨Tip Number 2
Showcase your experience with cloud platforms like AWS, Azure, or GCP. Be prepared to discuss specific projects where you've utilized these technologies to drive results, as this will be crucial for the role.
✨Tip Number 3
Prepare to discuss your approach to developing Machine Learning models. Highlight any innovative solutions you've implemented in the past and how they led to actionable insights and commercial success.
✨Tip Number 4
Practice presenting complex data findings in a clear and concise manner. Since you'll be reporting to senior leadership, being able to communicate your insights effectively is key to making an impact.
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data analysis, machine learning, and any relevant projects. Emphasize your skills in Python, R, or SQL, and mention any cloud platforms you've worked with, such as AWS, Azure, or GCP.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data science and how you can contribute to the company's goals. Mention specific examples of how you've translated data into commercial outcomes and your experience in the telecom industry, if applicable.
Showcase Your Projects: If you have any relevant projects or case studies, include them in your application. This could be through a portfolio or links to GitHub repositories where you demonstrate your ability to design and deploy machine learning models.
Prepare for Interviews: Be ready to discuss your analytical approach and problem-solving skills. Prepare to present findings from past projects and how they led to actionable insights. Familiarize yourself with the company's data strategies and think about how you can contribute to their transformative journey.
How to prepare for a job interview at Harnham
✨Showcase Your Data Expertise
Be prepared to discuss your experience with data analysis and machine learning. Highlight specific projects where you've successfully translated data into actionable insights, especially in a commercial context.
✨Demonstrate Technical Proficiency
Make sure to brush up on your skills in Python, R, and SQL. Be ready to answer technical questions or even solve problems on the spot to showcase your advanced capabilities.
✨Understand the Telecom Sector
If you have experience in the telecom industry, be sure to mention it. Familiarize yourself with current trends and challenges in the sector, as this knowledge can set you apart from other candidates.
✨Prepare for Strategic Discussions
Since you'll be presenting findings to senior leadership, practice articulating your insights clearly and concisely. Focus on how your recommendations can drive innovation and profitability for the company.
