Lead Data Scientist

UNAVAILABLE; Greater London; On-site; GBP 70,000 - 100,000; Full time

Job summary

A leading digital production company in London is seeking a Technical Lead Data Scientist. This role involves leading a team, developing advanced ML models, and bridging business strategy with technical execution. Ideal candidates will have extensive experience in data science, with strong skills in Python and major ML frameworks. This company values diversity and inclusivity in its culture.

Qualifications

• Extensive experience in data science, machine learning, or advanced analytics.
• Proven expertise in Python and ML frameworks.
• Strong statistical foundation, including A/B testing.
• Hands-on experience with cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Lead and mentor a team of data scientists.
• Define and own the data science roadmap.
• Architect and deliver end-to-end ML pipelines.
• Design, validate, and deploy machine learning models.

Skills

Python expertise

Proficiency in machine learning frameworks

Statistical analysis

SQL proficiency

Cloud platform experience

Tools

PyTorch

TensorFlow

Scikit-learn

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 seeking a Technical Lead Data Scientist to lead the design and delivery of advanced analytics and machine learning solutions that power our data-driven products and decision-making processes. Whilst this role will be hands-on in nature and will require experience and skills for model development, you will also set the technical vision for data science, mentor a team of data scientists, and work closely with data engineering, product, and business stakeholders to ensure scalable, production-ready solutions.

Your primary focus will be on defining and implementing end-to-end data science strategies, developing machine learning models, and building robust data-driven solutions that integrate into our production platforms to enhance forecasting, personalization, and operational visibility. You will play a pivotal role in bridging the gap between business strategy and technical execution.

Responsibilities

• Lead and mentor a team of data scientists, driving technical excellence and best practices
• Define and own the data science roadmap, aligning machine learning and analytics initiatives with business and product strategy
• Architect and deliver end-to-end ML pipelines (from data acquisition to model deployment) in collaboration with data engineering and MLOps teams
• Design, validate, and deploy machine learning models and advanced analytics solutions that support production forecasting, recommendation, and automation
• Guide the technical direction for statistical modeling, NLP, computer vision, and LLM-based solutions where applicable
• Partner with engineering teams to ensure data science solutions are scalable, production-grade, and cost-efficient across cloud platforms
• Establish and enforce standards for model reproducibility, monitoring, documentation, and governance
• Act as a thought leader within the organization, staying current with emerging AI/ML technologies and evaluating their strategic value

Qualifications

Experience

• Extensive experience in data science, machine learning, or advanced analytics, ideally in a technical leadership role
• Proven expertise in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) and experience across NLP, computer vision, and LLMs
• Strong statistical foundation, including A/B testing, causal inference, and experimental design
• Proficiency in SQL and working with large-scale, cloud-based datasets
• Deep understanding of MLOps principles and integrating ML solutions into production environments
• Demonstrated ability to translate ambiguous business problems into scalable, production-ready data science solutions
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and tools such as Databricks, Snowflake, and BigQuery
• Exceptional communication and stakeholder management skills, with the ability to influence decision-making across technical and non-technical teams

Desirable skills

• Familiarity with real-time model serving, monitoring, and performance optimization
• Experience with LLM frameworks (e.g., LangChain, Hugging Face, Chroma, Mistral) and generative AI applications
• Domain expertise in areas like operations, personalization and marketing
• Passion for AI research, R&D, and exploring innovative applications of ML/AI within the business

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.