Data Science Lead

Data Science Lead

Full-Time 48000 - 84000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead data science projects, applying advanced statistical methods to drive impactful decisions.
  • Company: Join Digitas UK, a leader in marketing innovation and connection.
  • Benefits: Enjoy hybrid working, reflection days, and fantastic family-friendly policies.
  • Why this job: Make a real impact with cutting-edge analytics for top global brands.
  • Qualifications: Advanced degree in a quantitative field and 3+ years of relevant experience required.
  • Other info: Work anywhere in the world for up to 6 weeks a year!

The predicted salary is between 48000 - 84000 Β£ per year.

At Digitas, we harness the power of connection to make a positive impact every day. We have a relentless focus on creating connections to help our clients' businesses grow, connecting diverse people, ideas and expertise in innovative and exciting ways. We are making a positive impact with our amazing clients through our capabilities in Consulting, Products & Platforms, Customer Engagement and Digital Media.

We are hiring for a Lead Data Scientist! You will play a crucial role in applying cutting-edge statistical methods to uncover insights and drive data-informed decisions. You'll be responsible for designing robust experiments, applying causal inference, and using conformal prediction techniques to support our mission to deliver reliable, actionable analytics that shape business strategy.

Responsibilities:
  • Design and analyse causal inference experiments using both randomized and quasi-experimental methods
  • Develop conformal prediction models to quantify uncertainty in machine learning predictions
  • Identify and account for confounding variables in observational studies
  • Create and apply statistical frameworks to estimate causal effects accurately
  • Collaborate with product, engineering, and business teams to design rigorous experiments
  • Present insights and methodologies in a clear and actionable way to stakeholders
  • Translate complex data challenges into impactful, data-driven solutions
Qualifications:
  • Advanced degree (MS/PhD) in a quantitative field with strong statistical expertise
  • 3+ years of hands-on experience applying statistical methods to real-world data
  • Deep knowledge of experimental design and observational study techniques
  • Strong understanding of conformal prediction theory and applications
  • Proficient in Python or R, with experience in statistical and machine learning libraries
  • Familiarity with causal inference frameworks (e.g., potential outcomes, do-calculus)
  • Clear communicator, able to explain complex statistical ideas to non-technical audiences

Digitas has fantastic benefits on offer to all of our employees. In addition to the classics, Pension, Life Assurance, Private Medical and Income Protection Plans we also offer:

  • WORK YOUR WORLD opportunity to work anywhere in the world, where there is a Publicis office, for up to 6 weeks a year.
  • REFLECTION DAYS – Two additional days of paid leave to step away from your usual day-to-day work and create time to focus on your well-being and self-care.
  • HELP@HAND BENEFITS 24/7 helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Well-being content and lifestyle coaching.
  • FAMILY FRIENDLY POLICIES – We provide 26 weeks of full pay for the following family milestones: Maternity, Adoption, Surrogacy and Shared Parental Leave.
  • HYBRID WORKING, BANK HOLIDAY SWAP & BIRTHDAY DAY OFF – You are entitled to an additional day off for your birthday.
  • AGENCY DISCOUNTS, onsite gym, and discount in our Publicis-Owned Pub – "The Pregnant Man".

Publicis Groupe operates a hybrid working pattern with full-time employees being office-based three days during the working week. We are supportive of all candidates and are committed to providing a fair assessment process. If you have any circumstances (such as neurodiversity, physical or mental impairments or a medical condition) that may affect your assessment, please inform your Talent Acquisition Partner. We will discuss possible adjustments to ensure fairness. Rest assured, disclosing this information will not impact your treatment in our process.

Please make sure you check out the Publicis Career Page which showcases our Inclusive Benefits and our EAGs (Employee Action Groups).

Data Science Lead employer: Publicis Groupe UK

At Digitas UK, we pride ourselves on being an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration. Our hybrid working model allows for flexibility, while our comprehensive benefits, including Reflection Days for well-being and generous family-friendly policies, ensure that our employees feel valued and supported. With a commitment to professional growth and a focus on making a positive impact, Digitas is the ideal place for data science professionals looking to thrive in a dynamic environment.
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Contact Detail:

Publicis Groupe UK Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Data Science Lead

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Digitas. A friendly chat can sometimes lead to opportunities that aren’t even advertised.

✨Tip Number 2

Showcase your skills! Prepare a portfolio or case studies that highlight your experience with causal inference and experimental design. This will help you stand out during interviews and demonstrate your expertise.

✨Tip Number 3

Practice your communication skills! Being able to explain complex statistical concepts in simple terms is key. Try explaining your past projects to friends or family who aren’t in the field to refine your approach.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining the Digitas team.

We think you need these skills to ace Data Science Lead

Statistical Methods
Causal Inference
Experimental Design
Conformal Prediction
Python
R
Statistical Libraries
Observational Study Techniques
Data Analysis
Communication Skills
Collaboration
Problem-Solving
Quantitative Analysis
Confounding Variables Identification

Some tips for your application 🫑

Tailor Your CV: Make sure your CV is tailored to the Data Science Lead role. Highlight your experience with statistical methods and causal inference, as these are key for us at Digitas. We want to see how your skills align with our mission!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data science and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your expertise.

Showcase Your Communication Skills: As a Data Science Lead, you'll need to explain complex ideas clearly. In your application, demonstrate your ability to communicate effectively, whether through your writing style or by including examples of past presentations to non-technical audiences.

Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, you’ll find all the details about our amazing benefits there!

How to prepare for a job interview at Publicis Groupe UK

✨Know Your Stats

Brush up on your statistical methods and causal inference techniques. Be ready to discuss how you've applied these in real-world scenarios, as this role demands a strong grasp of experimental design and observational study techniques.

✨Showcase Your Coding Skills

Make sure you're comfortable with Python or R, especially the statistical and machine learning libraries. Prepare to demonstrate your coding skills during the interview, as practical examples can really set you apart.

✨Communicate Clearly

Practice explaining complex statistical concepts in simple terms. Since you'll need to present insights to non-technical stakeholders, being able to communicate effectively is key to success in this role.

✨Prepare for Collaboration Questions

Expect questions about how you work with product, engineering, and business teams. Think of examples where you've collaborated on designing experiments or translating data challenges into actionable solutions, as teamwork is crucial at Digitas.

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