Data Scientist Remote
Job description
Description
Previse has pioneered algorithm-driven invoice payment decisions and working capital provisioning. For invoice payments, we use machine learning to predict the likelihood that a multinational will ultimately pay a supplier's invoice, which enables instant payment. For working capital, we use our ability to predict future revenue flows to offer SME borrowers working capital at attractive conditions.
Previse reduces transaction costs for buyers, improves working capital for suppliers, and creates an attractive new asset class for funders. This is "Trade Finance 2.0", driven by data, and driving growth for companies large and small. We utilise the latest tech in machine learning and have access to advanced datasets that allow us to train our algorithms.
Job title
We are looking for a Data Scientist to join our team.
You will be responsible for leveraging advanced data processing and machine learning techniques to create data processing pipelines, extract valuable insights from large and complex datasets and assist our decisioning services. You will collaborate with cross-functional teams to identify business challenges, formulate hypotheses, design experiments, and develop predictive models. The ideal candidate is passionate about data, possesses strong analytical skills, and has a deep understanding of machine learning methodologies and expertise in Python programming language.
Key Responsibilities:
- Build and optimise our machine learning algorithms and our risk and simulation models using modern machine learning techniques to support our origination, our underwriting, and our risk management.
- Perform data preprocessing, feature engineering, and exploratory data analysis to uncover hidden patterns and trends.
- Build and maintain automated systems for extraction, processing, cleansing, and verifying the integrity of the data used for analysis
- Evaluate third party sources of data and information, integrating them, and enhancing our data collection procedures
- Collaborate with data engineers to build efficient data pipelines, ensuring seamless flow of data for modelling and analysis.
- Measure and monitor the performance of the implemented systems, including performance reporting.
- Communicate findings and insights to both technical and non-technical stakeholders through visualisations, presentations, and reports.
Qualifications:
- A minimum of 2 years of experience working in a data science or engineering team.
- Great software engineering skills including expertise in algorithms and data structures.
- Strong understanding of machine learning techniques and algorithms, as well as techniques for validation and monitoring of algorithm performance.
- Strong applied statistical skills. Knowledge of time series modelling and prediction would be helpful but not essential.
- Ability to to creatively apply these skills in novel contexts in a business environment. Experience in putting machine learning algorithms into production.
- Experience writing production-level code and deploying code to production, including familiarity with packaging, testing and containerization best practices.
- Understanding of data integration and ETL processes.
- Proficiency using Python’s data stack, expertise in data manipulation using SQL and experience with version control systems.
- A solid understanding of data processing and engineering principles, including ability to clean, transform and wrangle data using Python.
- Great communication skills, ability to explain and communicate results to a non-technical audience, curiosity and eagerness to learn and develop new techniques.
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field. A PhD is a plus.
Who Are You
- A strong engineer with a passion for data and clean solutions
- A natural affinity for working in a dynamic environment using agile methodologies
- Comfortable adopting a collaborative approach to problem solving
- Able to deliver results autonomously and optimise for output
- Forward looking - considering future use cases and lifetime of the codebase when developing
- Appreciation of business goals and alignment with technology
Our Culture
As a growing team in a rapidly developing space, our culture is hugely important to us, and is an area where you can make a great impact. We pride ourselves on our passion and commitment, regardless of specialism. Our success is driven by collaboration - we solve problems together, and our openness helps each individual grow, too. We're looking for people who can contribute fresh insights and the tenacity required to deliver value.
How We Behave
We rise to the challenge
- Passionate
- Committed
- Ambitious
We join forces
- People-first
- Collaborative
- Supportive
We seek answers
- Intellectually curious
- Quality driven
- Considered
We bring clarity
- Straight forward
- Transparent
- Precise
Benefits
- Competitive salary
- Flexible working
- Equity
- Trust and autonomy to make decisions and execute
- Pension
We are rapidly growing and looking for passionate people to join us; please reach out for more details.
