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Data Scientist

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

United States

Offer summary

Qualifications:

Expertise in Data Science and Machine Learning, Knowledge of algorithms like LGBM, decision trees, Proficient in Python and machine learning libraries, Understanding evaluation techniques in ML, Ability to apply technical concepts quickly.

Key responsabilities:

Interface with stakeholders on analytical needs
Research new machine learning algorithms and techniques
Contribute to prototyping and implementation of features
Develop statistical models for integration with products
Support QA teams in effective testing processes

Provenir

51 - 200 Employees

See more Provenir offers

Job description

Your missions

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!

AI Innovation & Research Rol

eWe are looking for a commercially minded expert in Data Science and Machine Learning to work closely with our Product and Technology teams to allow us to develop, improve and innovate on our use of advanced analytical approaches within our software products

.Provenir is a market leading solution for Credit Risk, ID and Fraud use cases across Financial Services - industry knowledge is useful but not required - the ability to pick up new topics quickly and apply technical concepts to business problems is the heart of this role

.
Day-to-D

ayInterface with stakeholders within the business to understand analytical requirements and opportuniti
esResearch new machine learning algorithms and statistical techniques to solve problems in the detection and prevention of financial ri
skContribute to the productionisation of new analytical features through prototyping, requirements setting and implementati
onProvide expert input into future analytical strategies and product developme
ntShare knowledge of analytical techniques and tooling across engineering and wider business tea
msDeveloping statistical models and algorithms for integration with Provenir produc
tsWorking with development teams to support and enhance the analytical infrastructu
reWorking with QA teams to advise on effective analytical testi

ng
Technical Experie

nceKnowledge of algorithms such as LGBm, decision trees, XGBoost, K means anomaly detection, Bayesian theory, e
tc.Understanding of evaluation and explanation techniques in machine learning, e.g., overfitting, bias, cross-validation, LIME, SHAP, e
tc.Experience and proficiency with Python and machine learning tools libraries like scikit-learn, pandas, numpy, etc, and statistical packages, e.g., Sc

ipy
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 le

ave.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 ap

ply.