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Sofian BayedSB

Sofian Bayed

Senior AI / ML Engineer

£1,000/day
2 projects
London, GB
8-15 years

Average response time: 1 hour

About Sofian

A seasoned data scientist specialised in designing and deploying NLP production models, with a proven track record in the finance sector working for Bank of America, Bloomberg and AXA. Has led teams to tailor advanced NLP solutions for institutional investors such as AI-based chatbots, sentiment models and semantic search engines. Passionate about driving innovation in AI and keen on collaborating with top-tier talent to shape the future of the industry.

Commercial projects: AI-powered chatbots, NLP-based sentiment models, Time-series forecasting, classification systems, recommender systems.
Clients / Employers: Bank of America Merrill Lynch, Bayer Crop Science, Bloomberg, AXA
Programming / IT Skills: Python, Matlab, SQL, MongoDB, AWS
Machine Learning Skills: GPT, BERT, Transformers, Tensorflow, LLM, Langchain, Llamaindex
  • French

    Native or bilingual

  • English

    Native or bilingual

Remote only
Primarily works remotely

Experience

  • Tensoriel
    Data Science Lead
    SOFTWARE PUBLISHING
    January 2021 - Today (5 years and 5 months)
    Paris, France
    Led a quantitative research team that deployed production-scale NLP systems for institutional investors encompassing AI-powered chatbots, semantic search, entity recognition and recommendation engines.
    NLP artificial intelligence Data science AI SQL TensorFlow TensorFlow Python
  • BAYER CropScience
    Data Scientist
    PHARMACEUTICALS INDUSTRY
    November 2021 - April 2022 (6 months)
    Paris, France
    Data Science / Analysis on disease prediction.
    Data science Data analysis Python Machine learning Deep Learning SQL
  • AXA investment Managers
    Quantiative Research / Data Science
    BANKING AND INSURANCE
    January 2018 - August 2019 (1 year and 8 months)
    San Francisco, United States
    - Oversaw the development of innovative models, ranging from neural networks forecasting extreme US equity market volatility to NLP-based analysis of SEC filings; enhanced with clear visualization techniques for senior stakeholders using tools like LIME.

    - Led the review and validation of Rosenberg's investment models using advanced statistical tests; spearheaded research initiatives, including equity risk factor construction and backtesting, culminating in actionable insights presented to the investment committee and implemented in production.
    Data science Data Engineer Quantitative Python Matlab SQL Machine learning Deep Learning TensorFlow Pytorch

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Education

  • Masters in Financial Mathematics
    Imperial College London
    2014
    Financial Engineering & Data Science
  • Bachelor in Physics
    Université Paris-Sud XI
    2013
    Physics with minor in electrical engineering

Skill set

Categories