Data scientist

3 days ago

Montreal, Quebec, Canada Talents LGS Full time

At LGS, we strive to provide a workplace that values your professional growth. Our company culture fosters diversity and inclusivity, and we welcome talents from both local and international backgrounds.

As a team member, you will play a crucial role in driving major projects that propel our clients' businesses forward and improve people's lives. You will be at the heart of collaborative large-scale digital transformation projects in both the public and private sectors. 

The IBM Client Innovation Centre Quebec (CIC), at LGS, employs professionals who collaborate on projects within technology practices, offering local and remote services. Our employees, regardless of their level of experience, are paired with a coach to support their professional growth. As part of IBM's global network, we have offices in Montreal and Quebec City.

The benefits of joining our team: 

  • Learn every day: access IBM's intellectual capital and trainings on a diverse range of cutting-edge technologies. 
  • For your well-being: a group insurance bundle including telemedicine, a retirement savings plan with employer's contribution, access to IBM shares at discounted rates, and a wellness package 
  • To enjoy quality time: annual vacations, additional company days off and special life events leaves 
  • To have fun with your colleagues: an active community and a social committee with regular activities to keep us all connected

We are seeking a Data Scientist with strong expertise in machine learning, Generative AI, and data engineering. The role involves building predictive models, designing GenAI/RAG pipelines, and deploying AI solutions in cloud environments (AWS, Azure, GCP).

Responsibilities

• Develop supervised and unsupervised ML models (classification, regression, clustering).

• Design evaluation methodologies and conduct statistical experiments.

• Build advanced time-series and optimization models (ARIMA, LSTM, Bayesian methods).

• Implement GenAI/RAG pipelines: embeddings, LLM evaluation, prompt optimization.

• Contribute to MLOps workflows: tracking, versioning, deployment.

• Work with Python, SQL, PySpark, and ML libraries (scikit-learn, PyTorch, TensorFlow).

• Communicate insights clearly to technical and non‑technical stakeholders.

• Deploy AI solutions across multi‑cloud platforms.

Profile

• Strong background in ML modeling and statistical analysis.

• Expertise in Python and ML frameworks.

• Practical experience with Generative AI and RAG systems.

• Cloud knowledge (AWS, Azure, GCP).

• Excellent communication and stakeholder engagement skills.


• Bilinguism in french and english as you will be collaborating with resources outside quebec province

Bonus Skills

• MLOps (MLflow, Airflow, SageMaker Studio).

• Optimization, causal inference, LLM fine‑tuning.

• ML/AI certifications (AWS, IBM, Stanford, TensorFlow/PyTorch).

Be yourself at LGS
 

LGS is committed to considering all qualified applicants without regard to ethnicity, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, veteran status or other characteristics.


If you are not a Canadian permanent resident or citizen, please consult with your talent acquisition consultant as this role may require the use of technologies that are regulated by export sanctions.

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