At a Glance
- Tasks: Apply statistical modelling to solve marketing challenges and drive data-driven decisions.
- Company: Join a global leader in digital entertainment and consumer technology.
- Benefits: Competitive salary, bonus, hybrid work, and great benefits.
- Other info: Fast-paced environment with opportunities for growth and collaboration.
- Why this job: Make a real impact on marketing analytics with innovative data science techniques.
- Qualifications: 2-4 years in Data Science, strong stats knowledge, and Python proficiency.
The predicted salary is between 55000 - 60000 £ per year.
An exciting opportunity for a commercially-minded Data Scientist to join a global leader in the digital entertainment and consumer technology space. This is a hands-on role within a central Data & AI function, focused on applying statistical modelling and experimentation to solve business challenges across marketing and customer analytics.
About the Company:
This well-established media tech-driven company operates across multiple regions and reaches millions of users worldwide. With a strong data culture and a growing analytics function, they are investing in smarter decision-making powered by data science and AI. The environment is fast-paced, product-led, and driven by innovation.
About the Role:
You’ll work on high-impact projects, building statistical models, experimentation frameworks, and marketing effectiveness tools. From marketing mix modelling to A/B testing, your work will directly support cross-functional teams in making informed, data-driven decisions. You’ll collaborate with engineers, analysts, and business stakeholders to develop scalable solutions and translate insights into real-world impact.
Key Responsibilities:
- Build and implement statistical models for customer and marketing analytics
- Design A/B tests and incrementality frameworks to measure business impact
- Develop and maintain marketing mix models to evaluate campaign performance
- Work with large datasets using Python and SQL
- Communicate insights clearly to non-technical stakeholders
- Collaborate with technical teams to bring models into production
- Continuously improve model performance and business integration
- Working in a global team with a focus on GenAI / LLMs.
Skills & Experience Required:
- Must-have: 2–4 years of hands-on experience in a Data Science or Analytics role
- Strong foundation in statistics, hypothesis testing, regression, and experimental design
- Proficiency in Python (pandas, numpy, statsmodels, scikit-learn) SQL experience for data wrangling and analysis
- Experience with marketing analytics and causal inference - Marketing Mix Modeling (MMM) and Attribution Modeling have no secrets for you
- Strong communication and stakeholder engagement skills
Data Scientist - Marketing Analytics in City of London employer: Dataworks
Join a dynamic and innovative company at the forefront of digital entertainment and consumer technology, where your contributions as a Data Scientist will directly influence marketing strategies and customer engagement. With a strong emphasis on professional development, a collaborative work culture, and the flexibility of a hybrid working model in London, this role offers an exciting opportunity to grow your skills while working on impactful projects in a fast-paced environment. Enjoy competitive compensation, bonuses, and a comprehensive benefits package that supports your well-being and career advancement.
StudySmarter Expert Advice🤫
We think this is how you could land Data Scientist - Marketing Analytics in City of 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 Dataworks!
✨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 - Marketing Analytics at Dataworks.
✨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 Dataworks.
✨Apply Directly through Our Website
When you find a suitable opening like Data Scientist - Marketing Analytics at Dataworks, 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 - Marketing Analytics in City of 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 Dataworks, 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 Dataworks. 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 Dataworks
✨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 Dataworks!
✨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.
