Data Scientist - AI Factory - F/M/NB Braga

Data Scientist - AI Factory - F/M/NB
Braga
Braga, Braga, Portugal

Cegid is a European leader incloud business managementsolutions for finance (cash-flow, tax, ERP), human resources (payroll, talent management), CPAs, retail and entrepreneurial sectors. In today’s rapidly changing world, Cegid & its4, 400 employeesmake more possible by helping their 500, 000 customers unleash their potential thanks to innovative and purposeful business solutions.

Make more possible, is our vocation. It reflects who we are, how and why we do things the way we do them for our clients. Thanks to this, we can affirm that we work every day toshape your future, ours and our clients’ industries’ future. A future we have been defining for years with our employees, by inventing solutions that change the way people work, for a sustainable performance.

@AI Factory

TheAI Factoryis dedicated to advancing our management software through AI innovation. Our primary goal is to seamlessly integrate AI features into our product line, either by enhancing functionality and user experience or by recreating user workflows to take full advantage of AI technology.

Your main objectives as aData Scientist:

You will play a pivotal role in advancing our data science capabilities, developing machine learning models, focusing on building robust models that enhance
- making processes and drive business intelligence.

As a Data Scientist, you will:

• Lead thedesign, development, and implementation ofmachine learning modelstailored for finance and accounting applications;
• Explore and developgenerative AI modelsto address challenges and opportunities in the finance and accounting domain;
• Collaborate with finance and accounting experts, software engineers, and data engineers to integratemachine learning solutionsinto existing systems;
• Demonstrate an interest in and familiarity withMLOps toolsand practices to streamline the deployment, monitoring, and management of machine learning models.
  
  

• Advanced degree (MSc or Ph
  D) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline;
• Proven experience (4+ years) in developing and deployingmachine learning models, preferably in the finance and accounting domain;
• Strong programming skills in languages such asPythonor R, familiarity withMLOps toolsand practices;
• Experience withgenerative AImodels and/orNLPis a plus.