Data Scientist
DEPT is hiring a Data Scientist in Manchester, United Kingdom. Level rates it ; you can apply on DEPT.
Level's read on this job
- On Level's scale, this data scientist role is Builds AI ●●●●: the job is building AI systems.
- Tools and skills the posting cites include scikit-learn and MLOps.
- Level lists 166 other open roles at DEPT.
AI in this role
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.
How we rate this
Data Scientist at DEPT rates 84 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $167k
This posting doesn't list pay. Use the typical data scientist figure when pay comes up. See data scientist jobs
Questions you could be asked
- How do you monitor a model once it's live, and how do you know it needs retraining?
- Walk me through how you've used scikit-learn in your day-to-day work.
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: ML Ops and scikit-learn. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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