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Data Scientist

Manchester, London, Berlin, Hamburg, Budapest, Zagreb, Split, Skopje

Open 3 months, first seen by us 118 days ago
Pay
Pay not listed
Work setting
Not stated
Employment
Fixed-term — employment source
Employment type in the employer’s posting: Fixed term
From the employer’s posting

What you’ll work on

Full posting
  • Design and build Media Mix Models, incrementality studies and attribution solutions for clients

  • Advise clients on how to allocate media budgets based on model results

  • Implement end-to-end ML and AI systems, including training, deployment and monitoring

  • Translate complex model outputs into actionable recommendations for client marketing leaders

From the employer’s posting
designing, building and interpreting Media Mix Models, incrementality studies, and multi-touchpoint attribution solutions
advise clients how to allocate their media budgets
Implement end-to-end scalable ML & AI systems - including model training, inferencing, deployment, and monitoring
Translate complex model outputs into clear, actionable recommendations for client stakeholders, including senior marketing leadership.

What you’ll bring

All qualifications

Core experience

  • Hands-on experience building as a data scientist building media effectiveness solutions, including Media Mix Modelling, incrementality studies and multi-touchpoint attribution solutions.
  • Strong communication skills with the ability to explain technical concepts and translate complex model output into actionable insights to a non-technical audience
  • Solid understanding of marketing strategy, media channels, customer journeys, and how to translate media investments into business impact
  • 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.
  • Strong SQL skills and experience with data warehousing solutions (Snowflake, BigQuery, Redshift)
Qualification wording
Hands-on experience building as a data scientist building media effectiveness solutions, including Media Mix Modelling, incrementality studies and multi-touchpoint attribution solutions.
Strong communication skills with the ability to explain technical concepts and translate complex model output into actionable insights to a non-technical audience
Solid understanding of marketing strategy, media channels, customer journeys, and how to translate media investments into business impact
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)
Education & alternatives
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.
Apply at DEPT®

Posting record

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Open 3 monthsWe first saw this posting 118 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 9, 2026118 days ago
Recorded sightings
81
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 118

Up longer than most. Similar jobs usually come down between day 7 and day 55.

From 9,988 similar postings that came down. Coming down is not always a hire.

DEPT® is hiring

11 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring is picking up
  • Its jobs tend to stay up a long time
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • BigQuery
  • Docker
  • GCP
  • Redshift
  • Snowflake
  • NumPy
  • pandas
  • scikit-learn
  • SciPy
Where the posting names them
- 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)
- 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).
- 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).
- 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

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About the role

We file this job under Data Scientist, by the work the posting describes.

Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.

Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.

Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.

US government figures for data scientists

Median yearly pay, May 2025
$120,230
Expected change, 2025 to 2035
34.6% more jobsagainst 3.5% for all jobs

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.

Job description

View original posting ↗

Data Scientist

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

 

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

 

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.

 

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Location & working pattern

Manchester, London, Berlin, Hamburg, Budapest, Zagreb, Split, Skopje

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