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For Companies At a Glance
- Tasks: Lead the development of machine learning solutions for CRM personalization and enhance customer engagement.
- Company: Join a leading global lifestyle brand at a pivotal stage in their data journey.
- Benefits: Competitive salary up to £75,000, hybrid working, and opportunities for professional growth.
- Why this job: Shape the future of data science and make a real impact on global customer engagement.
- Qualifications: Experience in machine learning, recommendation systems, and proficiency in Python.
- Other info: Collaborative environment with excellent cross-functional teamwork and career advancement opportunities.
The predicted salary is between 60000 - 90000 £ per year.
We are super excited to be partnering with one of the largest global lifestyle brands at a pivotal stage in their data journey. As they bring CRM and customer insight capability 'in house' and roll out a new customer data platform, this role will be central to shaping how data science is delivered, working closely with Data Science teams and IT partners to build for the future, not maintain the past. They are looking for a passionate and experienced Senior Data Scientist / Manager to lead personalization efforts within their CRM ecosystem. You'll develop predictive models and recommendation systems that enhance customer engagement across global markets.
THE ROLE
- Lead development of machine learning solutions for CRM personalization.
- Build and optimize recommendation engines using neural networks and deep learnings, incorporating product embeddings and other advanced features to improve relevance and performance.
- Collaborate with CRM and regional marketing teams to align with campaign goals and customer segmentation strategies.
- Own the full ML lifecycle—from model design to deployment and monitoring.
- Partner with engineering and data teams to ensure scalable solutions.
- Continuously monitor and improve model performance using data insights and feedback.
REQUIRED SKILLS & EXPERIENCE
- Proven experience in machine learning, particularly in recommendation systems and deep learning architectures.
- Strong understanding of two-tower neural networks, embedding techniques, and ranking models.
- Proficiency in Python with familiarity to ML libraries e.g. pandas, numpy, scipy, scikit-learn, tensorflow, pytorch.
- Familiarity with cloud platforms (GCP, AWS, Azure) and tools like Dataiku.
- Experience with ML Ops, including model deployment, monitoring, and retraining pipelines.
- Ability to work cross-functionally with marketing, CRM, and engineering teams.
- Excellent communication and stakeholder management skills.
- Experience in a global or multi-regional context is a plus.
If this sounds like the role for you then please apply today!
Senior Data Scientist in West End employer: Datatech
Contact Detail:
Datatech Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist in West End
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your machine learning projects, especially those related to recommendation systems and deep learning. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with Python, ML libraries, and cloud platforms. Practice explaining complex concepts in simple terms to show you can communicate effectively with cross-functional teams.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if you refer a friend, you could earn some sweet rewards while helping them land a great job too!
We think you need these skills to ace Senior Data Scientist in West End
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Scientist role. Highlight your experience with machine learning, recommendation systems, and any relevant projects that showcase your skills in Python and deep learning.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how your background aligns with the company's goals. Don't forget to mention your experience with CRM and customer engagement!
Showcase Your Projects: If you've worked on any cool projects related to machine learning or data science, make sure to include them in your application. We love seeing real-world applications of your skills, especially if they relate to personalization and customer insights.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be one step closer to joining our amazing team at StudySmarter!
How to prepare for a job interview at Datatech
✨Know Your Machine Learning Stuff
Make sure you brush up on your machine learning concepts, especially around recommendation systems and deep learning architectures. Be ready to discuss your experience with two-tower neural networks and embedding techniques, as these are crucial for the role.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to talk about your experience with ML libraries like pandas, numpy, and tensorflow. You might even want to bring along a project or two that highlights your coding skills and problem-solving abilities.
✨Collaboration is Key
This role involves working closely with marketing and engineering teams, so be prepared to share examples of how you've successfully collaborated across functions in the past. Highlight your communication skills and how you manage stakeholder expectations.
✨Stay Current with Cloud Platforms
Familiarity with cloud platforms like GCP, AWS, or Azure is important. Make sure you can discuss any relevant experience you have with these tools, especially in relation to ML Ops and model deployment. Showing that you're up-to-date with industry trends will impress the interviewers.
