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For Companies At a Glance
- Tasks: Lead data science projects, applying advanced statistical methods to drive impactful business decisions.
- Company: Join Digitas, a leader in marketing innovation and connection.
- Benefits: Enjoy flexible working, wellness days, and comprehensive health benefits.
- Why this job: Make a real impact with data while collaborating with top brands and diverse teams.
- Qualifications: Advanced degree in a quantitative field and 3+ years of relevant experience required.
- Other info: Hybrid work model with excellent career growth and support for all employees.
The predicted salary is between 36000 - 60000 ÂŁ 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’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.
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
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. Wellbeing 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”.
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 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 EAG’s (Employee Action Groups).
Data Science Lead in City of London employer: UNAVAILABLE
Contact Detail:
UNAVAILABLE Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Science Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to current employees at Digitas on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your application noticed.
✨Tip Number 2
Prepare for the interview by brushing up on your statistical methods and causal inference techniques. We want to see how you can apply your knowledge in real-world scenarios, so think of examples that showcase your skills.
✨Tip Number 3
Showcase your communication skills! When discussing complex data challenges, practice explaining them in simple terms. This will help us see how well you can translate your insights to non-technical stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets into the right hands. Plus, it shows you’re genuinely interested in joining our team at Digitas.
We think you need these skills to ace Data Science Lead in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Lead Data Scientist role. Highlight your statistical expertise and relevant experience, especially in causal inference and experimental design. We want to see how your skills align with what we're looking for!
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 mission at Digitas. Be sure to mention any specific projects or experiences that relate to the job description.
Showcase Your Communication Skills: As a Lead Data Scientist, 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 how you've done this in the past.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details about the role and our amazing benefits there!
How to prepare for a job interview at UNAVAILABLE
✨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, perhaps by discussing a project where you used these tools to solve a complex data challenge.
✨Communicate Clearly
Practice explaining complex statistical concepts in simple terms. Since you'll need to present insights to non-technical stakeholders, being able to translate your findings into actionable recommendations is key.
✨Collaborate and Connect
Highlight your experience working with cross-functional teams. Digitas values collaboration, so be prepared to share examples of how you've partnered with product, engineering, and business teams to drive data-informed decisions.
