Senior Data Scientist London - Greater London - Blacklane

Description

Overview

As a Senior Data Scientist within Blacklane's central data domain, you will leverage scientific and mathematical methodologies to address complex data challenges in the mobility and luxury transportation sector. In this role, you will help scale the data science team by owning and evolving our machine learning platform and operating model. You will collaborate closely with product, engineering, and other data teams to enhance profitability, optimize costs, and accelerate growth. You will engage with diverse business stakeholders globally, and you will be responsible for how machine learning solutions move from idea to production and remain reliable over time. This position provides avenues for continuous professional development, flexible work options, and participation in an inclusive and diverse work environment.

• Design, build, and maintain end-to-end machine learning systems, supporting use cases such as demand forecasting, pricing optimization, customer lifetime value, and churn prediction.
• Establish best practices for experimentation, reproducibility, and model evaluation, while analyzing complex datasets to uncover trends, patterns, and actionable insights.
• Collaborate with cross-functional teams to understand business needs and translate them into scalable scientific and machine learning solutions.
• Collaborate with stakeholders at various levels to propose, discuss, and drive scalable data science solutions, clearly communicating tradeoffs and impact.
• Design and evolve shared ML pipelines, tooling, and standards to enable the team to scale efficiently and safely.

Qualifications

• Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, or a related field.
• Minimum 5 years of experience in a data science or machine learning engineering role.
• Proven track record in designing and deploying machine learning models into production environments, especially using AWS services (e.g. SageMaker, EC2, S3, Lambda, Step Functions).
• Experience working with cloud-based ML platforms (e.g. AWS SageMaker or equivalent services).
• Demonstrated proficiency in modeling business problems through the application of machine learning techniques, including feature engineering, model selection, implementation, evaluation, and parameter tuning.
• Ability to translate business challenges into mathematical and statistical problems, subsequently proposing and implementing data science solutions.
• Strong judgment in selecting appropriate models and designing systems that balance accuracy, reliability, and scalability.
• Hands-on experience with modern data science tools and ML frameworks, combined with experience building or improving shared ML pipelines and tooling.
• Strong analytical and problem-solving capabilities, with the aptitude to interpret complex datasets.
• Strong experience operationalizing machine learning systems end to end, including CI/CD, automation, monitoring, and retraining.
• Exceptional communication skills, with a collaborative mindset and experience influencing technical direction across teams.
• Self-driven, curious, and proactive in staying current with developments in ML, MLOps, and cloud computing.

About Blacklane

Our mission is simple but powerful: to become the world's leading premium, global chauffeur service. Operating in 50+ countries, we reimagine chauffeur-driven rides by prioritizing reliability, innovation, and first-class service at every step. Blacklane is also at the forefront of sustainable mobility efforts, continuously working to reduce our operational impact on the planet.

Our Company Culture

Blacklane has grown from a two-person startup in Berlin to a global team of over 300 people representing 54+ nationalities. Powered by our commitment to care, inclusion, innovation, and collaboration, we support employees through initiatives like Employee Resource Groups (ERGs), mentorship programs, and more.

Benefits

• Local perks – UK (London): 100% employer-paid health insurance for you and your dependents, with 24hr GP access
• 28 vacation days per year, increasing with tenure
• Company pension with up to 5% employer contribution
• Twice‑weekly Just Eat lunch vouchers for UK hub employees
• Your Mental and Physical Health – No compromise with Nilo and Wellhub
• Continuous learning & certified coaching
• Hybrid setup: 3 days a week in our London office
• Fair pay and shared success through our VSOP program
• Mystery Rides: Quarterly Voucher to enjoy personal trips around the world with Blacklane

We welcome—and actively support—employees to create or join the communities that are important to them.

We place great value on equal opportunities. Therefore, we welcome everyone to apply.

Do you have any questions or want to know more about our way of working? We're happy to connect