We believe buying cars should be as simple as buying a T-shirt from Amazon.  Finance and Insurance should be accessible to all.  No matter where you are from or what you believe in, you should have equal access to fast, affordable payment options.

bsktpay checkout solution makes buying cars 10x faster.  Whether you have an underserved credit profile, are new to the country or first a time driver, buying your dream car should happen in minutes.  We harness advanced AI, ML, and Data Science along with cutting-edge technology frameworks to remove the barriers set by legacy systems. 

As a team, we’re focused on building a diverse and inclusive company culture and aim to become a global leader in on-demand finance transactions. 

bskt group is an equal opportunity employer, which means we do not discriminate on the basis of race, colour, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression.  We celebrate diversity and are committed to creating an inclusive environment for all employees. 

What they offer

• Ability to work at an exciting startup and headquartered in London
• Cutting-edge technology, allowing you to work with state-of-the-art tools and software solutions
• Competitive compensation and plenty of room for personal growth
• Great international exposure and team atmosphere

An ideal candidate will have a mix of skills that include the following:

• Demonstrates a high level of initiative and consistently delivers high-quality answers
• Has an enquiring mind and a disciplined scientific approach to extracting facts and understanding observed behaviour
• Is excited by the potential of realising high-value commercial outcomes and changing the way that the advertising business operates
• Wants to be part of a high-growth startup company with global ambitions 
• Comfortable with JavaScript and C++ so that they can effectively interact with the rest of the team. Knowledge of Python, Java or C# is also strongly encouraged.
• Has a proven track record implementing data-driven products and a broad understanding of state of the art in machine learning 
• Comfortable working in an open-source setting
• Experience in deploying ML in a production environment and also familiar with cloud concepts with  one of the leading providers
• Able to create and deploy machine learning pipelines
• Has a passion for helping protect users’ privacy and security
• A PhD. is preferable but not essential

• Logistic Regression, Decision Trees, Random Forest, Naive Bayes, Clustering, etc. and a good grasp of the strengths and weaknesses of specific approaches
• Basic data cleansing and preparation, variable pre-processing/transformation
• Univariate analysis, performing statistical tests, covariance analysis, multivariate analysis and linear/non-linear regression
• Preparation of data sets for predictive modelling, robust predictive model building, validation and application
• Automation of statistical processes and integration into a bigger product
• Experience in distributed data pipelines such as Airflow / Luigi