Senior Data Scientist

Описание на позицията

Join the super team of Access Finance Senior Data Scientist Access Finance Ltd is a 13-years old non-banking financial institution providing credit cards and managing a large portfolio of clients through a heavy utilization of Machine Learning, AI and automation. The company has 5 active markets under its management – Bulgaria, Romania, Spain, Mexico and the USA. In order to keep up with the growing company’s portfolio and business diversity we have an opening for a Senior Data Scientist to join our Credit Risk and Data Science Directorate. What You Would Be Able To Do Develop, test, deploy and monitor supervised and unsupervised Machine Learning models with no constraints to the modelling techniques, using diverse data sources – credit history and income data, bank accounts data, telecom data, google analytics data, text and voice data, social media data Be part of the development, implementation and support of AI chatbots for customer service – already live in 2 markets Work in diverse modelling and AI domains – credit risk, churn prediction, segmentation, sales optimization, collection optimization, customer relationship management, propensity to buy, customer service, Generative AI Practice and further develop the skills needed to support the complete Machine Learning project lifecycle – problem definition, data gathering, data wrangling, model development, validation, deployment and monitoring Make business impact and see the results of your work help the company increase its profit Utilize the already defined data, processes and machine learning pipelines with the opportunity to further develop them Requirements Strong business orientation and willingness to apply machine learning for the purpose of improving the business results

4+ years of experience in the analytics field – machine learning models development and deployment, experience with binary classification problems is considered a strong plus

Experience with at least one programming language used for data science – R or Python

Experience with relational databases – Microsoft SQL Server or equivalent

Experience in any of the following technologies is considered a strong advantage:AI assistants like Claude

Data visualization tools– Power BI or equivalent

APIs and machine learning model deployment under APIs

Microsoft Azure and Azure Pipelines

Docker

Kubernetes

Git

LLM business applications development

Ability to work comfortably and combine data coming from a variety of data sources – relational and non-relational databases, cloud databases, csv and excel files, xml and json files

University degree or equivalent standard with a high numeric and/or technical content: data science, artificial intelligence, statistics, mathematics, informatics, software development.

Benefits A team of senior level people with extensive experience in the field and international acknowledgements

Competitive remuneration

Opportunity to work, develop and grow in a dynamic environment, targeted at international expansion

Friendly and casual work environment.

What We Offer Additional health insurance

Subsidized Multisport card

Monthly food vouchers

А platform for corporate discounts “Happy Team”

Pizza day at the office

Fresh fruits and healthy snacks at the office

Free psychological counseling

Vouchers for childbirth or child adoption

Refer a friend bonus

Additional paid leave based on length of service.

We are searching for candidates who have the capabilities and are willing to develop into full-stack data scientists to help and support our diverse business operations with Machine Learning and Large Language Models. If you enjoy making decisions, want your work to be recognized and important, and have the skills to bring business value through data science this role might be the best fit for you. We encourage you to take a couple of minutes to submit your resume to be considered as the newest member of our professional team. We appreciate and thank you for your application. Only short-listed candidates will be contacted.