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Senior Data Scientist

UNAVAILABLE

Greater London

On-site

GBP 125,000 - 150,000

Full time

Today
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Job summary

A leading global production company based in London is seeking a Senior Data Scientist to develop data strategies and machine learning solutions that drive impactful insights. This role involves collaboration across various teams to enhance production capabilities. Ideal candidates should possess strong Python skills, experience with machine learning frameworks, and excellent communication abilities. Emphasizing diversity and inclusion, the firm fosters an empowering work environment.

Benefits

Inclusive culture
Commitment to diversity and support for employees with disabilities

Qualifications

  • Strong experience working with NLP, computer vision, and LLMs.
  • Experience with A/B testing and causal inference.
  • Hands-on experience with LLM stacks like Mistral, LangChain, and Hugging Face Transformers.

Responsibilities

  • Lead the design and deployment of data strategies and machine learning models.
  • Work alongside data engineering for data pipeline requirements.
  • Promote best practices in data science and model validation.

Skills

Strong coding skills in Python
Expert in ML frameworks (PyTorch, TensorFlow)
Strong statistical background
Experience with SQL and large datasets
Excellent communication skills
Experience with cloud platforms (AWS, GCP, Azure)

Tools

Databricks
Snowflake
BigQuery
Job description
Company Description

Publicis Production harnesses the power of Publicis Groupe’s entire global production capabilities. Through our family of production brands, we access best-in-class production talent, models and technology worldwide.Our purpose is to deliver seamless, relevant and impactful consumer experiences across every touchpoint in every market. We do this with pioneering production solutions that drive performance in a data-led marketing landscape and help brands to win in the platform world.

Job Description

We are looking for a Senior Data Scientist to join our data team and help transform complex data into actionable insights that enable strategic decision-making. You’ll work at the intersection of machine learning, analytics, and business strategy and the associated technical and non technical teams —helping to shape data-driven solutions and strategies that power our data products and production operations.

The main objective of this role will be to develop the data strategies across multiple platforms and sources, build and implement the required data solutions in order to feed production platform’s forecasting and visibility functionality.

As a senior member of the team, you’ll be self motivated and be able to take ownership of projects, collaborate closely with stakeholders across product, engineering, and business to deliver data science solutions.

Responsibilities
  • Work across and support a range of data use cases including analytics and data provisioning
  • Lead the design, development, and deployment of data strategies, machine learning models and advanced analytics solutions to support recommendation and insight to production use cases
  • Apply statistical techniques to extract insights and support data-driven decision-making
  • Work alongside data engineering in requirements for data pipelines and feature engineering
  • Promote best practices in data science, model validation, documentation, and reproducibility
Qualifications

Experience

  • Strong coding skills in Python, including libraries such as pandas, scikit-learn, TensorFlow, or PyTorch
  • Expert in Python and ML frameworks (PyTorch, TensorFlow, Sklearn), with experience across NLP, computer vision, and LLMs
  • Strong statistical and experimental design background, including A/B testing and causal inference
  • Experience working with SQL and large-scale datasets
  • Excellent communication skills and ability to present complex ideas to non-technical stakeholders
  • Experience with cloud platforms (AWS, GCP, Azure) and tools like Databricks, Snowflake, or BigQuery

Desirable Skills

  • Familiarity with MLOps, model monitoring, and production deployment
  • Experience in a specific domain (e.g., marketing, operations, fraud, personalization, NLP) is a plus
  • Hands-on experience with LLM stacks (e.g., Mistral, LangChain, Chroma, Hugging Face Transformers)
  • Interest in staying current with AI trends and contributing to internal R&D or innovation initiatives
Additional Information

Diversity and inclusion is a core part of who we are at Prodigious London. We’re committed to building an inclusive culture that encourages, celebrates and supports our wonderfully diverse employee group – whatever their age, gender identity, race, sexual orientation, physical or mental ability or ethnicity. Diversity and inclusion doesn’t just fuel our creativity and innovation, it brings us closer to our people and audiences. We will continue to strive to create a culture and environment where everyone feels empowered and more importantly comfortable enough to bring their full, authentic selves to work. We are committed to providing reasonable adjustments for employees with disabilities and for candidates in our application process. If you need assistance or adjustment due to a disability, please contact us.

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