At a Glance
- Tasks: Design and deliver data-driven solutions using AI to solve client challenges.
- Company: Join DEPT®, a pioneering digital agency with a focus on innovation.
- Benefits: Global opportunities, competitive salary, and a supportive work culture.
- Other info: Inclusive workplace that values diverse perspectives and personal growth.
- Why this job: Make an impact by working on exciting projects for top brands worldwide.
- Qualifications: MSc in a quantitative field and experience in media effectiveness solutions.
The predicted salary is between 50000 - 65000 £ per year.
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.
Data Scientist in London employer: DEPT®
DEPT® is an exceptional employer that fosters a dynamic and inclusive work culture in Greater London, where creativity and collaboration thrive. With a strong focus on employee growth, we offer flexible hybrid working arrangements, comprehensive benefits including a company pension and healthcare options, and generous holiday allowances to ensure a healthy work-life balance. Join us to be part of a forward-thinking team that values diverse perspectives and drives meaningful impact in the world of Paid Media.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like DEPT®!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Scientist at DEPT®.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like DEPT®.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist at DEPT®, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Scientist in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at DEPT®, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at DEPT®. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at DEPT®
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at DEPT®!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
