Data Scientist- Provenir Inc. Remote

Full time @Data Science Career in Data Science , in Data Scientist Email Job

Job Detail

  • Job ID 21951
  • Sector Data Science

Job Description

Who We Are

Provenir is a global fintech company with offices across North America, the UK, and Singapore. Provenir helps fintechs, financial institutions, and payment providers make smarter decisions, faster. We are passionate about technology and empowering businesses to become industry leaders. As a leading provider of decisioning and analytics products for financial services and other industries, we empower businesses to create digital-first decisioning solutions that drive business growth. If you’d like to work at an innovative fintech with a global footprint that is redefining the industry, then we want you!

 

 

What You’ll Do

The Provenir AI team is responsible for all things data, analytics, and ML/AI at Provenir . The team consists of Cloud Architects, Data Engineers, Software Engineers, Data Scientists, ML Engineers and Program Management specialists. It is our team’s mission to disrupt longstanding players in the value chain by building a distributed AI/ML platform to drive best-in-class decisions.

Our global and diverse team is seeking an enthusiastic Data Scientist who can design and build solutions that will be used in many markets around the world. As a team we value diversity of thought and challenge each other’s ideas in a respectful, collaborative environment to build world class products. Our ideal team member will have a unique, creative and curious mindset to understand our customers problems with the technical expertise to implement their ideas.

In this role, you will have access to a variety of data sources to create and validate AI and ML models. Use cases include models to fraud prevention, credit risk management and financial inclusion.

 

This is a remote role but the ideal candidate must be based in South East Asia, India, Spain, Germany or UK.

 

Your Responsibilities

  • Help identify and source relevant data (including alternative data) to build, calibrate and deploy state-of-the-art models using the latest AI/ML technologies and methods.
  • Determine patterns of potential fraud and conceptualize ways to detect anomalies.
  • Understand the problems of our clients and customers to build industry-first products that promote financial inclusion across the world.
  • Partner with our Engineering team to support implementation in our cloud platform
  • Claim end-to-end ownership of your models and solutions: from ideation to implementation
  • While working in a fast-paced environment, interpret, document and successfully communicate solutions to stakeholders, including those in non-technical and senior management roles.
  • Be involved in the whole MLOps lifecycle, including everything from root cause analysis, data collection and feature engineering to training, validating and implementing machine learning models, computing performance statistics and live model monitoring.
  • Support the Sales and Operations teams in managing technical client queries through a deep knowledge of our product suite.
  • Use your local knowledge of South East Asian markets to support new product launches in the region.

 

Your Strengths and Skills 

  • You have at least 3 years experience in a data science role, including hands-on experience in developing supervised and unsupervised advanced machine learning algorithms.
  • You have strong data wrangling and manipulation skills for merging, cleansing, and sampling data
  • You can collaborate asynchronously within a globally-distributed Scrum team.
  • You actively participate in team meetings and can clearly and concisely articulate.
  • You enjoy working in an agile, rapid development and prototyping environment.
  • You will take initiative, learn quickly and are able to adapt to shifting priorities.

 

Although not essential, it would be great if you also have any of these strengths,

  • You have Fraud domain knowledge
  • You have experience working with Graph Databases
  • You follow best practices across the MLOps lifecycle (e.g. CI/CD, pipeline orchestration and containerization).
  • You have hands-on experience with our other tools (AWS, Metaflow, Java, GitHub, Jira, Miro).

 

Our employees are our top priority, we offer comprehensive health and wellness plans. You will enjoy paid time off and company holidays, flexible and remote-friendly opportunities, and maternity/paternity leave along with retirement benefits to plan for your future.

 

At Provenir, we recognize that diversity and inclusion make our teams stronger. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, citizenship, or veteran status or medical condition. We encourage people from all backgrounds to apply.

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