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- Tasks: Lead advanced machine learning projects and shape customer data strategies.
- Company: Dynamic company at the forefront of data transformation in Central London.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Make a real impact on customer data and drive innovative analytics solutions.
- Qualifications: Strong experience in machine learning and excellent communication skills required.
- Other info: Join a collaborative team and enjoy autonomy in a transformative environment.
The predicted salary is between 70000 - 85000 £ per year.
We are seeking an experienced, passionate, and highly motivated Senior Data Scientist to play a pivotal role in unlocking the value of customer data and shaping how it is used across the business. This is a senior, highly autonomous position, acting as the number two to the Director of Customer Data, where you will operate at a strategic level while remaining hands-on. This is an excellent opportunity for a senior-level data scientist who wants real ownership, influence, and visibility, and to be part of a business at a transformative point in its data maturity.
The company has recently implemented a new Customer Data Platform (CDP) and is at a genuinely exciting stage of its data journey. You will be instrumental in helping define best practice, drive advanced analytics use cases, and influence how customer data is activated across products, CRM, and marketing. While experience with personalisation and recommender systems would be highly desirable, it is not essential. The role is broader in scope and suited to someone who enjoys owning complex customer data problems end-to-end and shaping the direction of advanced data science initiatives.
The Role
- Act as a senior technical and strategic lead within the Customer Data team, working closely with (and deputising for) the Director.
- Take full ownership of your role, with the autonomy to shape priorities, define approaches, and mould the position to maximise impact.
- Lead the development of advanced machine learning solutions across customer data use cases, including (but not limited to) personalisation, segmentation, propensity modelling, and customer insight.
- Contribute to the evolution and activation of the newly implemented CDP, helping the organisation realise its full value.
- Own the full machine learning lifecycle – from problem definition and model design through to deployment, monitoring, and optimisation.
- Collaborate closely with CRM, marketing, product, engineering, and regional teams to ensure solutions are aligned to business goals.
- Partner with data engineering and platform teams to ensure scalable, robust, and production-ready solutions.
- Act as a senior stakeholder, able to clearly communicate complex concepts and influence decision-making at all levels.
Skills & Experience
- Strong, hands-on experience in machine learning and applied data science within customer or commercial domains.
- Experience with recommender systems, personalisation, or deep learning is desirable but not essential.
- Solid Python skills and experience with ML libraries such as pandas, numpy, scipy, scikit-learn, TensorFlow or PyTorch.
- Experience working across cloud environments (GCP, AWS, or Azure) and analytics platforms such as Dataiku.
- Good understanding of MLOps practices, including deployment, monitoring, and retraining pipelines.
- Proven ability to work cross-functionally with marketing, CRM, product, and engineering teams.
- Excellent communication, leadership, and stakeholder management skills.
- Experience operating in a global or multi-regional environment is a plus.
If you would like to hear more, please do get in touch.
Senior Data Scientist employer: Guaranteed Tenants Ltd
Contact Detail:
Guaranteed Tenants Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the hunt for a Senior Data Scientist role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those related to customer data and machine learning. This will give potential employers a taste of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your leadership and stakeholder management skills. Be ready to discuss how you've influenced decision-making in past roles and how you can bring that experience to the table in this new position.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Scientist
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, customer data, and any leadership roles you've had. We want to see how your skills align with what we're looking for!
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 you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.
Showcase Your Technical Skills: Since this role requires strong technical abilities, make sure to list your proficiency in Python and any ML libraries you've used. If you've worked with cloud environments or MLOps practices, don't forget to mention those too!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining StudySmarter!
How to prepare for a job interview at Guaranteed Tenants Ltd
✨Know Your Data Science Stuff
Make sure you brush up on your machine learning concepts and tools, especially those mentioned in the job description like Python, TensorFlow, and scikit-learn. Be ready to discuss your hands-on experience with these technologies and how you've applied them to solve real-world customer data problems.
✨Showcase Leadership Skills
Since this role requires strong leadership and stakeholder management skills, prepare examples of how you've led projects or teams in the past. Think about times when you influenced decision-making or collaborated with cross-functional teams, and be ready to share those stories.
✨Understand the Business Context
Familiarise yourself with the company's current data maturity and the new Customer Data Platform (CDP). Be prepared to discuss how you can help the organisation unlock the value of customer data and drive advanced analytics use cases that align with their business goals.
✨Ask Insightful Questions
Prepare thoughtful questions that demonstrate your interest in the role and the company’s data strategy. Inquire about their current challenges with customer data, how they envision the evolution of the CDP, and what success looks like for the Senior Data Scientist in the first six months.
