Rodeo
ResourcesPartnersSign in

DEPT®

Data Scientist

London
Posted about 21 hours ago
Sign up to applySee more jobs like this

How your CV stacks up

1Upload CV
2Analyse CV
3Improve CV

Upload your CV to see how well it fits this job role

?%

DEPT®/AI

DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do. This role sits within our EMEA Data & AI practice, which has deep expertise in leveraging AI. The team includes data scientists and AI engineers that work alongside DEPT® teams around the world across different services – from commerce, to full-funnel media, content engineering to internal operations. You will be solving some of the hardest and most challenging problems facing some of the best loved brands in the world – and doing this alongside an experienced team.

Job Purpose

We are seeking a talented and passionate Data Scientist to join our growing team of data scientists and AI engineers. You will design and deliver data-driven solutions across the full range of client challenges we take on: from predictive modelling and personalisation to end-to-end AI systems. Your focus area is media effectiveness and you will advise clients how to allocate their media budgets with your expertise in Media Mix Modelling, Incrementality and Attribution. Alongside this, you will operate as a full member of the team, contributing your statistical and ML expertise across other client workstreams.

Key Responsibilities

  • Design data-driven solutions tailored to client challenges, leveraging advanced analytical methods, ML models, and AI technologies to deliver business value.
  • Lead media effectiveness projects for our clients - designing, building and interpreting Media Mix Models, incrementality studies, and multi-touchpoint attribution solutions that inform client budget allocation and marketing strategy.
  • Implement end-to-end scalable ML & AI systems - including model training, inferencing, deployment, and monitoring - leveraging latest cloud technologies.
  • Take a leading role in a multidisciplinary team consisting of engineers, consultants and client stakeholders.
  • Communicate complex technical solutions to clients in an understandable way, delivering progress reports and demonstrations.
  • Translate complex model outputs into clear, actionable recommendations for client stakeholders, including senior marketing leadership.
  • Consult and guide clients on data science implementation, serving as a trusted advisor on data-driven decision making.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

Start with a chat, not a search bar

Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

See breakdown
Save jobNot relevant
View details

It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

See breakdown
Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

See breakdown
Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

What We Are Looking For

  • MSc degree in a highly analytical and quantitative discipline like Econometrics, Data Science, Applied Mathematics or Statistics.
  • Hands-on experience building as a data scientist building media effectiveness solutions, including Media Mix Modelling, incrementality studies and multi-touchpoint attribution solutions.
  • Solid understanding of marketing strategy, media channels, customer journeys, and how to translate media investments into business impact.
  • A strong foundation in traditional statistical methods (e.g. regression, time series, probabilistic models), combined with a proactive mindset for exploring and applying cutting-edge developments in ML and AI.
  • Deep understanding of Bayesian modelling and causal inference, and the ability to apply these in a client-facing measurement context.
  • Proficiency in Python with extensive experience in data science libraries (e.g. scikit-learn, pandas, NumPy, SciPy).
  • Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift).
  • Understanding of MLOps concepts and hands-on experience implementing them on cloud platforms (AWS, Azure, GCP).
  • Experience with version control (Git) and deployment tools (Docker).
  • Excellent analytical thinking and problem-solving abilities.
  • Strong communication skills with the ability to explain technical concepts and translate complex model output into actionable insights to a non-technical audience.

Get help with your application

Your very own career expert that helps elevate your application to the next level.

Get help applying for this job

WHO ARE WE?

We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating.

Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world.

DIVERSITY, EQUITY & INCLUSION

At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

Get help applying for this job

Skills

Data Science
Media Mix Modelling
Incrementality Studies
Attribution Solutions
Machine Learning
Statistical Methods
Bayesian Modelling
Causal Inference
Python
SQL
Data Warehousing
MLOps
Cloud Technologies
Git
Docker
Analytical Thinking

Location

London, England, United Kingdom

Sign up to applySee more jobs like this