Manager, Data Science

Publicis Sapient
London
1 month ago
Applications closed

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BRAND:Publicis Sapient
Job Function:Data Sciences
Location:London, United Kingdom
Experience Level:Intermediate
Workplace Type:Hybrid

Company Description

Publicis Sapient is a digital transformation partner helping established organisations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.

Overview

Publicis Sapient is seeking a Manager, Data Science to apply their deep expertise in analytics and machine learning to build solutions for our clients, as well as support our internal AI platforms. You will leverage your skills as a data science professional to analyse large data sets, create models and develop solutions to help resolve complex challenges for our clients across industries such as Financial Services, Retail, Energy & Commodities, Automotive, Healthcare, Telecommunications, Travel & Hospitality and the Public Sector.

Responsibilities

Your Impact

  • Consult with clients to define business problems and advise on how to apply data science to solve those problems.
  • Solve some of today's most complex customer issues by designing, coding and implementing machine learning and AI solutions for our clients, or in support of our AI platforms.
  • Collaborate and knowledge-share with your colleagues by sharing the latest research, new data science methods, technologies and thinking to optimise client solutions and outcomes as well as through detailed, constructive design and code reviews.
  • Help establish rigorous standards in machine learning and statistical analysis to ensure consistency across projects and teams.
  • Help to identify new opportunities within the data science space, and support the delivery of projects on time and to the highest possible standards.

Qualifications

Your Skills and Experience:

  • PhD or Master's degree (or equivalent experience) in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Mathematics, Applied Statistics, Physics, Engineering, or a related field.
  • Strong foundational knowledge in data science and machine learning concepts, including regression, classification, unsupervised and self-supervised learning, NLG & NLP, computer vision, cross-validation, time series forecasting, and generative AI techniques.
  • Proficiency in modern AI/ML tools and frameworks, including Python, PySpark, TensorFlow, PyTorch, Vertex AI, MLflow, and cloud-based ML platforms such as Azure ML, AWS SageMaker, and Google Cloud AI.
  • Experience with production-scale AI/ML pipelines, including data exploration, feature engineering, model training and comparison, bias and fairness evaluation, explainability techniques (e.g., SHAP, LIME), MLOps best practices, and large-scale model deployment in cloud and hybrid environments.
  • Demonstrable delivery experience using a wide variety of machine-learning techniques including classifiers, regression, clustering, decision trees, neural networks, NLP and ensemble techniques.
  • Experience with customer segmentation, behaviour analysis, developing recommender systems, fraud analytics, personalization systems and forecasting.
  • Ability to work with data engineers to design/develop data intensive solutions.
  • The ability to translate complex solutions into well-structured and simple recommendations.
  • Experience with solution design and development, quality assurance and testing, data visualisation and prototyping.
  • Experience working in client-facing projects with a strong focus on collaboration.
  • Strong communication skills.

You'll be Setting Yourself Apart With:

  • Experience managing projects with tight deadlines.
  • Experience with senior stakeholder management.

Additional Information

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity, or religion.

Publicis Sapient UK is a disability confident employer and is dedicated to fostering an inclusive and accessible work environment. We encourage individuals with disabilities and long-term conditions to apply for this position and we will provide adjustments where possible throughout the recruitment process. If you require any adjustments at any point in the process, please get in touch as soon as possible by emailing . Publicis Sapient UK will then work with you to explore and implement adjustments as and where these are possible. If you have any questions regarding adjustments, please email us:

Publicis Sapient fosters an inclusive environment through our inspirational business resource groups; to learn more please visitour diversity and inclusion page.

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