Applied Data Scientist - AI-Driven Audience Measurement

Applied Data Scientist - AI-Driven Audience Measurement

Full-Time 50000 - 70000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead applied research for audience measurement using real data and innovative AI techniques.
  • Company: Fifty5Blue, a forward-thinking company focused on audience measurement.
  • Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
  • Other info: Join a dynamic team in a fast-paced, collaborative environment.
  • Why this job: Make an impact in the exciting field of AI-driven audience measurement.
  • Qualifications: Experience in data science and strong analytical skills required.

The predicted salary is between 50000 - 70000 £ per year.

Fifty5Blue seeks an experienced Data Scientist to lead applied research for audience-measurement initiatives.

You will work on cross-media calibration, behavioral-panel signals, and AI-on-panel use cases with real data and pilots, maintaining rigorous measurement standards.

You will design methodologies, validate against benchmarks, and move concepts toward production, collaborating with product managers and engineers in a fast-paced, iterative environment.

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Applied Data Scientist - AI-Driven Audience Measurement employer: Fifty5Blue

Fifty5Blue is an exceptional employer that prioritises employee well-being and inclusivity, making it a fantastic place for those passionate about technology and customer service. With competitive benefits and a supportive work culture, employees have ample opportunities for growth and development while contributing to meaningful projects in the field of TV audience data collection. Join us in a dynamic environment where your skills will be valued and your contributions will make a real impact.

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Contact Details:

Fifty5Blue Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Applied Data Scientist - AI-Driven Audience Measurement

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We think you need these skills to ace Applied Data Scientist - AI-Driven Audience Measurement

Applied Research
Audience Measurement
Cross-Media Calibration
Behavioural-Panel Signals
AI-on-Panel Use Cases
Methodology Design
Benchmark Validation

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 Fifty5Blue, 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 Fifty5Blue. 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 Fifty5Blue

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 Fifty5Blue!

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.