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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 initiatives and drive innovation.
- Qualifications: Strong experience in machine learning and excellent communication skills.
- Other info: Join a collaborative team and enjoy autonomy in a transformative environment.
The predicted salary is between 70000 - 85000 Ā£ per year.
Salary: Ā£70,000 - Ā£85,000 (DoE)
Location: Hybrid - 2/3 days per week in a Central London office
Full UK working rights required. No sponsorship available.
Immediate requirement: strong leadership and senior stakeholder skills.
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 handsāon.
This is an excellent opportunity for a seniorālevel 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 endātoāend 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 ā 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 productionāready solutions.
- Act as a senior stakeholder, able to clearly communicate complex concepts and influence decisionāmaking at all levels.
Skills & Experience
- Strong, handsāon 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, scikitālearn, 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 crossāfunctionally with marketing, CRM, product, and engineering teams.
- Excellent communication, leadership, and stakeholder management skills.
- Experience operating in a global or multiāregional environment is a plus.
If you would like to hear more, please do get in touch.
Senior Data Scientist in London employer: Guaranteed Tenants Ltd
Contact Detail:
Guaranteed Tenants Ltd Recruiting Team
StudySmarter Expert Advice š¤«
We think this is how you could land Senior Data Scientist in London
āØNetwork Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or conferences related to data science. You never know who might be looking for someone just like you or who can refer you to a great opportunity.
āØShow Off Your Skills
Create a portfolio showcasing your projects and achievements. Use platforms like GitHub to share your code and demonstrate your expertise in machine learning and data science. This will give potential employers a taste of what you can do!
āØAce the Interview
Prepare for interviews by practising common data science questions and case studies. Be ready to discuss your past experiences and how they relate to the role. Remember, it's not just about technical skills; show your passion for data and how you can contribute to the team.
āØApply Through Our Website
Don't forget to apply directly through our website! Itās the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining our team and being part of our exciting data journey.
We think you need these skills to ace Senior Data Scientist in London
Some tips for your application š«”
Tailor Your CV: Make sure your CV reflects the skills and experiences mentioned in the job description. Highlight your hands-on experience with machine learning and any leadership roles you've had. We want to see how you can bring value to our Customer Data team!
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 our goals. Donāt forget to mention your experience with customer data and any relevant projects you've led.
Showcase Your Technical Skills: Weāre looking for strong Python skills and familiarity with ML libraries. Be sure to include specific examples of projects where you've used these tools. This will help us understand your technical prowess and how you can contribute to our advanced analytics initiatives.
Apply Through Our Website: We encourage you to apply directly through our website. Itās the best way for us to receive your application and ensures you donāt miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Guaranteed Tenants Ltd
āØKnow 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 MLOps practices. Be ready to discuss your past projects and how you've applied these skills in real-world scenarios.
āØShowcase Your Leadership Skills
Since this role requires strong leadership and stakeholder management, prepare examples of how you've led teams or projects in the past. Think about times when you influenced decision-making or collaborated with cross-functional teams to achieve a common goal.
āØUnderstand the Business Context
Familiarise yourself with the company's current data journey and the new Customer Data Platform (CDP). Be prepared to discuss how you can contribute to its evolution and activation, and how your experience aligns with their goals for customer data use cases.
āØPractice Clear Communication
As a senior stakeholder, you'll need to communicate complex concepts clearly. Practice explaining your technical work in simple terms, and think about how you would present your ideas to non-technical stakeholders. This will show that you can bridge the gap between data science and business needs.
