Data Science Summer Intern - Reading, United Kingdom - MarketCast
Description
#FuelYourFandom2023
MarketCast will be hosting a ten-week Summer Internship Program from Monday June 5th to Thursday, August 10th, 2023.
Our Summer Internship program will be held 4 days a week (32 hours a week) following a hybrid work schedule and will report to our office in Reading, UK.
This is a paid opportunity, but we will not be offering compensation packages for housing or relocation.
The first week will consist of an immersive bootcamp where you will have the opportunity to learn about who we are, the work we do, and how you'll be able to add value and grow both personally and professionally.
MarketCast offers a powerful combination of consumer research, data science, and advanced analytics to help marketers discover, measure, and grow fandom for brands, products, and media content.
As a true full-service agency - research, insights, tracking, social, data science and more - we are perfectly positioned to solve unique (and fascinating) business challenges.
We're looking for passionate, curious, hungry people to join the team and help change the world - one research question at a time.
What The Data Science Team Is All About:
We have over 30 data scientists within our team.
We do a combination of paid client work and research & development to inject Data Science and Machine Learning algorithms into the next generation of products here at MarketCast.
Our team analyzes extremely large datasets, creates bespoke client reports, explores new datasets and builds new algorithms to deliver services to our clients.
We're Looking for Someone Who Can:
- Have fun when they are analyzing data
- Perform data manipulation using Python libraries such as Pandas
- Use tools and languages such as Python, SQL and Tableau or similar
It'll Be Helpful If You Have/Are:
- A desire to understand the why, and want to dig into data to understand what makes people tick
- Some experience in data analysis, having some grounding in languages such as SQL and Data Science software such as Python (and associated libraries Pandas, Numpy, Scikitlearn) or R
- A curiosity about data
Our Purpose & Vision:
Fandom connects people with shared passions and builds communities around them.
It offers them space to express their joy and love, whether that's for superheroes, sports teams, or even small batch whiskeys.
We are creating the most tech and data-forward research business on the planet, where primary research, AI, and big data work together to solve complex marketing, content, and product development challenges.
Our Values:
Curiosity Makes Us Tick
Our love of learning manifests in everything we do - from the surveys we field and the datasets we analyze to the technology we develop.
We Celebrate Wins
Whether its wowing clients with research or solving everyday challenges, we pause to honor great work and everyone who plays a role in it.
Trust is Always Trending
Trust means everything to us.
It's lending a hand when deadlines loom, always delivering on the promises we make, and calling out behavior that harms our culture.
And our client's trust is what makes all this possible, something we never take for granted.We Roll with Change
We embrace change as an opportunity to learn, grow, and further develop. We do this by challenging our biases and rethinking how things have always been done in the past. This fresh, open-minded approach keeps us agile, innovating, and adapting in the face of uncertainty.
Diversity is Our Superpower
Our differences make us stronger. As researchers and data scientists, we have a responsibility to reflect the diverse audiences and communities all around us. Understanding people, opinions and life experiences fuels our insights and deepens our perspectives.
At MarketCast, we don't just accept difference - we embrace it, support it, and thrive on it for the benefit of our global culture and success.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status.
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