BRAND:Digitas
Job Function:Data Sciences
Location:London, United Kingdom
Experience Level:Specialist
Workplace Type:Hybrid
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).
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