Senior Data Scientist I - French Language

LexisNexis; Montreal; On-site; CAD 80,000 - 110,000; Full time

Job summary

A leading company in legal technology is seeking a Senior Data Scientist I with proficiency in French. Your role will involve leveraging advanced analytics and machine learning to provide data-driven insights that enhance business decisions. You will work collaboratively across teams and contribute to strategic objectives, ensuring impactful and innovative algorithms are implemented effectively.

Benefits

Comprehensive health benefits including medical, dental, and vision

Retirement benefits with 401(k) match

Wellness platform with incentives

Flexible working hours

Qualifications

• Expert level Python proficiency required.
• Experience with Retrieval-Augmented Generation (RAG) systems needed.
• Strong communication skills for conveying technical insights are crucial.

Responsibilities

• Lead and conduct advanced data analysis to drive business insights.
• Develop and implement machine learning algorithms.
• Collaborate with teams to identify data-driven opportunities.

Skills

Analytical techniques

Machine learning algorithms

Data analysis

Python

AI architectures

Technical documentation

Communication skills

Tools

CI/CD pipelines

Job description

Senior Data Scientist I - French Language

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Job Title: Senior Data Scientist I – French Language Proficiency

About Us: LexisNexis Legal & Professional serves customers in more than 150 countries with 11,800 employees worldwide. We are part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company is a leader in deploying AI and advanced technologies to the legal market, improving productivity and transforming the business and practice of law.

Role Overview: As a Senior Data Scientist I, you will leverage advanced analytical techniques to extract insights from complex data sets. Your role involves developing and implementing innovative algorithms to drive business decisions and enhance predictive modeling. You will collaborate with cross-functional teams to identify opportunities for data-driven solutions, contributing to the company's strategic objectives.

Responsibilities

• Lead and conduct advanced data analysis to drive business insights and decision-making.
• Develop and implement machine learning algorithms to solve complex business problems.
• Build and maintain scalable data pipelines and infrastructure for optimal data extraction, transformation, and loading.
• Conduct in-depth analysis and interpretation of results to provide actionable recommendations to stakeholders.
• Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions.
  
  

Requirements

• French language proficiency (verbal and written) required
• Proficiency in Python: Expert level with experience in writing efficient, clean, and modular code.
• Experience with Retrieval-Augmented Generation (RAG) systems, including embedding-based search, document retrieval, and combining retrieved information with LLMs.
• Hands-on experience with advanced RAG platform development and maintenance.
• Understanding of AI architectures, including pre-processing, retrieval, ranking, and post-processing steps.
• Expertise in crafting effective prompts for LLMs tailored to specific tasks.
• Experience with techniques like zero-shot, few-shot prompting, prompt tuning, and chain of thought.
• Understanding of generative AI applications in content creation, including best practices for producing accurate, coherent, and domain-specific outputs.
• Skills in profiling and optimizing LLM responses for latency and accuracy.
• Experience diagnosing issues in complex multi-component systems.
• Experience managing and contributing to large, centralized codebases (monorepos).
• Proficiency with CI/CD pipelines and tools like Jenkins, GitHub Actions, or GitLab CI.
• Solid understanding of transformers, embeddings, and attention mechanisms.
• Ability to write clear technical documentation for processes, workflows, and API usage.
• Strong communication skills for conveying technical insights to stakeholders.
  
  

Preferred Experience

• Previous experience working in legal tech or domain-specific generative AI use cases.
• Hands-on experience with deploying AI models in production at scale.
• Familiarity with multilingual generative AI and fine-tuning for specific languages like French.
  
  

Work Environment: We promote a healthy work/life balance across the organization. We offer numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals. We support flexible working hours to help you fit everything in and work when you are most productive.

Benefits

• Comprehensive health benefits, including medical, dental, and vision.
• Retirement benefits, including 401(k) with match and an Employee Share Purchase Plan.
• Wellness platform with incentives, Headspace app subscription, Employee Assistance, and Time-off Programs.
• Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity.
• Family benefits, including bonding and family care leaves, adoption and surrogacy benefits.
• Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts.
• Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice.
  
  

About LexisNexis Legal & Professional: LexisNexis Legal & Professional provides legal, regulatory, and business information and analytics that help customers increase their productivity, improve decision-making, achieve better outcomes, and advance the rule of law around the world. As a digital pioneer, the company was the first to bring legal and business information online with its Lexis and Nexis services.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  IT Services and IT Consulting

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