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Senior Data Scientist - AI Factory


Vacancy details

General information

About us

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Cegid is an international group with over 4,400 employees in more than 20 countries who support professionals in the fields of accounting, payroll and human resources, ERP, taxation and retail.

Cegid designs useful and innovative management solutions for its customers, in order to become their preferred partner by understanding their business and the issues at stake so that customers can turn their challenges into opportunities.

Cegid's values: engage together, be inspired by our customers and always explore.

Every story is different within Cegid, it's up to you to create your own!
  

Position description

Business Line

Product developpement

Job title

Senior Data Scientist - AI Factory

Type of contract

Permanent contract

Job description

@AI Factory

The AI Factory is 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.

 

 

The challenge we have for you:

We are seeking a highly skilled and experienced Senior Data Scientist with a strong background in developing machine learning models, ideally in the finance and accounting sector. The ideal candidate will play a pivotal role in advancing our data science capabilities, focusing on building robust models that enhance decision-making processes and drive business intelligence.

 

You will be responsible for:

 

Machine Learning Model Development:

- Lead the design, development, and implementation of machine learning models tailored for finance and accounting applications.

- Work closely with cross-functional teams to identify and define business problems that can be solved through advanced analytics.

 

Generative AI:

-   Explore and develop generative AI models to address challenges and opportunities in the finance and accounting domain.

-   Collaborate with research and development teams to stay at the forefront of generative AI technologies.

 

MLOps:

- Demonstrate an interest in and familiarity with MLOps tools and practices to streamline the deployment, monitoring, and management of machine learning models.

- Contribute to the development of best practices for model versioning, testing, and automation within the MLOps framework.

 

Cross-Functional Collaboration:

- Collaborate with finance and accounting experts, software engineers, and data engineers to integrate machine learning solutions into existing systems.

 

Research and Innovation:

- Stay informed about the latest advancements in data science, machine learning, and generative AI.

- Contribute to the development of new methodologies and approaches to address challenges unique to the finance and accounting industry.

Profile

-  Advanced degree (MSc or PhD) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.

-  Proven experience (5+ years) in developing and deploying machine learning models, preferably in the finance and accounting domain.

-  Strong programming skills in languages such as Python or R.

-  Experience with generative AI models and/or NLP is a plus.

-  Familiarity with MLOps tools and practices.

- Excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Advantages

- Annual bonus based on the achievement of goals;
- Hybrid and flexible work model;
- 25 days of vacation per year;
- Health insurance;
- Access to online learning platforms and in house academy;
- Opportunities for training and certifications;
- Integration into a dynamic, enthusiastic, and continuously growing team.

Candidate criteria

Languages

English (2- Advanced)

Position location

Job location

Europe, Portugal

Location

Braga