Manager, Data Science

Manager, Data Science

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead data science projects, solve complex problems, and collaborate with clients and teams.
  • Company: Join Publicis Sapient, a digital transformation leader helping businesses thrive in the digital age.
  • Benefits: Enjoy a hybrid work environment, inclusive culture, and opportunities for professional growth.
  • Why this job: Make an impact by applying cutting-edge AI solutions across diverse industries while working with talented professionals.
  • Qualifications: PhD or Master's in relevant fields; strong skills in machine learning, AI tools, and client collaboration.
  • Other info: Publicis Sapient values diversity and is committed to creating an inclusive workplace for all.

The predicted salary is between 43200 - 72000 £ per year.

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.

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.

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.

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.

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.

Manager, Data Science employer: Publicis Sapient

Publicis Sapient is an exceptional employer, offering a dynamic hybrid work environment in the heart of London, where innovation and collaboration thrive. With a strong commitment to employee growth, you will have access to cutting-edge projects across diverse industries, alongside opportunities for continuous learning and development. Our inclusive culture, underpinned by core values that prioritise diversity and well-being, ensures that every team member can contribute meaningfully while pursuing their career aspirations.
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Contact Detail:

Publicis Sapient Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Manager, Data Science

✨Tip Number 1

Familiarise yourself with the latest trends in data science and machine learning. Being able to discuss recent advancements or case studies during your interview can demonstrate your passion and expertise in the field.

✨Tip Number 2

Network with professionals in the data science community, especially those who work at Publicis Sapient or similar companies. Engaging in conversations on platforms like LinkedIn can provide insights into the company culture and expectations.

✨Tip Number 3

Prepare to showcase your problem-solving skills through practical examples. Be ready to discuss specific projects where you applied machine learning techniques to solve real-world problems, as this will highlight your hands-on experience.

✨Tip Number 4

Understand the importance of collaboration in data science roles. Be prepared to discuss how you've worked with cross-functional teams in the past, as this aligns with the collaborative nature of the position at Publicis Sapient.

We think you need these skills to ace Manager, Data Science

Analytical Skills
Machine Learning Expertise
Statistical Analysis
Data Visualisation
Python Programming
PySpark Proficiency
TensorFlow Knowledge
PyTorch Experience
Cloud-based ML Platforms (Azure ML, AWS SageMaker, Google Cloud AI)
Production-scale AI/ML Pipelines
Feature Engineering
Model Training and Comparison
Bias and Fairness Evaluation
Explainability Techniques (SHAP, LIME)
MLOps Best Practices
Customer Segmentation
Behaviour Analysis
Recommender Systems Development
Fraud Analytics
Personalisation Systems
Forecasting Techniques
Collaboration Skills
Strong Communication Skills
Project Management
Stakeholder Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data science and machine learning. Focus on specific projects where you've applied these skills, especially in client-facing roles, as this is crucial for the position.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about data science and how your background aligns with Publicis Sapient's mission. Mention specific technologies and methodologies you’ve worked with that are relevant to the job description.

Showcase Your Problem-Solving Skills: Provide examples of complex problems you've solved using data science techniques. Highlight your ability to translate technical solutions into simple recommendations, as this is a key requirement for the role.

Highlight Collaboration Experience: Since the role involves working closely with clients and colleagues, emphasise your teamwork and communication skills. Share instances where you collaborated on projects or shared knowledge to achieve successful outcomes.

How to prepare for a job interview at Publicis Sapient

✨Showcase Your Technical Skills

Be prepared to discuss your experience with data science and machine learning tools like Python, TensorFlow, and PySpark. Bring examples of projects where you've successfully implemented these technologies, as this will demonstrate your hands-on expertise.

✨Understand the Business Context

Research Publicis Sapient and its clients to understand their industries and challenges. Be ready to discuss how you can apply data science to solve specific business problems, showcasing your ability to translate technical solutions into business value.

✨Prepare for Problem-Solving Questions

Expect to face scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling complex data challenges, and be ready to explain your approach to designing and implementing machine learning models.

✨Emphasise Collaboration and Communication

Highlight your experience working in client-facing roles and collaborating with cross-functional teams. Strong communication skills are essential, so prepare examples that illustrate how you've effectively shared knowledge and worked with others to achieve project goals.

Manager, Data Science
Publicis Sapient
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  • Manager, Data Science

    London
    Full-Time
    43200 - 72000 £ / year (est.)

    Application deadline: 2027-03-21

  • P

    Publicis Sapient

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