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

Apply Now

Data Science Lead

Starcom Mediavest Group Germany Gmbh
London
4 weeks 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.

Job Description

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

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 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 the Publicis Career Page which 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

Data Science Lead

Data Science Lead, Research Analytics

Data Science Lead - PharosAI

Data Science Lead

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 AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.