Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Science Lead

Publicis Groupe
London
2 months ago
Create job alert

Company description

At Digitas, we harness the power of connection to make positive impact everyday. 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 positive impact with our amazing clients, through our capabilities in Consulting, Products & Platforms, Customer Engagement and Digital Media.

Part of Publicis Groupe, and a Leader in Gartner’s Magic Quadrant for Global Marketing Agencies, we’re proud to work with some of the world’s leading brands.

Digitas. Experience the power of connection.

Our Commitment
Digitas is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation or gender identity.


Overview

We’re 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.
If this interests you, please keep reading below for more information


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


Additional information

Digitashas 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 WORLDopportunity 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 24/7helpline to support you on a personal and professional level. Access to remote GPs, mental health support and CBT. Wellbeing content and lifestyle coaching.
• FAMILY FRIENDLY POLICIESWe 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 OFFYou are entitled to an additional day off for your birthday.

AGENCY DISCOUNTS, onsite gym, and discount in our Publicis-Owned Pub – “The Pregnant Man”


Full details of our benefits will be shared when you join us!


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 medicalcondition) 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 thePublicis Career Pagewhich showcases our Inclusive Benefits and our EAG’s (Employee Action Groups).

#LI-SH1


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Science Lead

Data Science Lead - PharosAI

Data Science Lead

Data Science Lead, Research Analytics

Data Science Lead, Research Analytics

Data Science Lead - PharosAI

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Data Science Skills in 2025/26

Data science continues to be one of the most exciting, high-growth career paths in the UK and worldwide. From predicting customer behaviour to detecting fraud and driving healthcare innovations, data scientists are at the forefront of digital transformation. But breaking into the field isn’t just about having a degree. Employers are looking for candidates who can demonstrate practical data science skills — analysing datasets, building machine learning models, and presenting insights that solve real business problems. The best part? You don’t need to spend thousands on premium courses or expensive software. There are dozens of high-quality, free tools and platforms that allow you to practise data science in 2025. This guide explores the best ones to help you learn, experiment, and build portfolio-ready projects.

Top 10 Skills in Data Science According to LinkedIn & Indeed Job Postings

Data science isn’t just a buzzword — it’s the engine powering innovation in sectors across the UK, from finance and healthcare to retail and public policy. As organisations strive to turn data into insight and action, the need for well-rounded data scientists is surging. But what precise skills are employers demanding right now? Drawing on trends seen in LinkedIn and Indeed job ads, this article reveals the Top 10 data science skills sought by UK employers in 2025. You’ll get guidance on showcasing these in your CV, acing interviews, and building proof of your capabilities.

The Future of Data Science Jobs: Careers That Don’t Exist Yet

Data science has rapidly evolved into one of the most important disciplines of the 21st century. Once a niche field combining elements of statistics and computer science, it is now at the heart of decision-making across industries. Businesses, governments, and charities rely on data scientists to uncover insights, forecast trends, and build predictive models that shape strategy. In the UK, data science has become central to economic growth. From the NHS using data to improve patient outcomes to financial institutions modelling risk, the applications are endless. The UK’s thriving tech hubs in London, Cambridge, and Manchester are creating high demand for data talent, with salaries often outpacing other technology roles. Yet despite its current importance, data science is still in its infancy. Advances in artificial intelligence, quantum computing, automation, and ethics will transform what data scientists do. Many of the most vital data science jobs of the next two decades don’t exist yet. This article explores why new careers are emerging, the roles likely to appear, how current jobs will evolve, why the UK is well positioned, and how professionals can prepare now.