At a Glance
- Tasks: Analyse large datasets and create bespoke reports for clients.
- Company: Join MarketCast, a diverse and innovative data science team.
- Benefits: Enjoy free movie tickets, 29 days leave, and flexible working hours.
- Other info: Great opportunities for professional growth and regular social events.
- Why this job: Make an impact by exploring data and building algorithms that solve real-world problems.
- Qualifications: Experience with Python, SQL, and machine learning; a degree in a relevant field.
The predicted salary is between 30000 - 40000 £ per year.
We are looking for an Associate Data Scientist to join the Data Science Team based in Reading or London. You will be responsible for analysing extremely large datasets, creating bespoke client reports, exploring new datasets and building new algorithms to deliver services to clients.
Key Responsibilities:
- Explore and extract data from multiple sources and interrogate this data to create meaningful insights.
- Work on a broad range of client projects in the marketing and market research field.
- Develop data pipelines to clean data and develop meaningful data & features for analytics work and data science projects.
- Research, develop, and test supervised and unsupervised learning models with guidance from more senior members of the team.
- Use tools and languages such as Python and SQL for reporting and analysis on our AWS data platform.
- Work with our India based Data Engineering team and our Sales and Market Research Teams in the US and UK.
It’ll be helpful if you have:
- 1-2 years of experience.
- A desire to understand the why, and dig into data to understand what makes people tick.
- Experience in applying a few Machine Learning algorithms to real client problems and data.
- Ability to clean and transform data for ML models.
- Can independently take actions to address the most common causes of poor model performance.
- Familiarity with common machine learning algorithms such as linear regression, logistic regression, decision trees, and k-nearest neighbours.
- Experience in using machine learning libraries and frameworks like scikit-learn or TensorFlow.
- A bachelor’s degree in a subject such as Applied Mathematics, Psychology, Sociology, Statistics, Economics, Engineering, Computer Science, etc. A Master’s Degree or higher is a plus.
- Solid data analytics skills; proven proficiency with SQL, Python and Pandas.
- The ability to write Python code and build, execute and test algorithms and models.
- The ability to understand business problems, draw conclusions from data and recommend actions on how best to solve these problems.
- Strong communications skills, and an ability to document requirements and work with other team members.
- Experience with TV viewing data, the TV industry and/or Media Industry experience. This isn't a pre-requisite, but a genuine interest is.
- A curiosity about data and enjoy building data visualisations that clearly articulate insight.
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. MarketCast is proud to be an equal opportunity workplace. 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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you have a disability or special need that requires accommodation, please let us know.
Benefits:
- Free movie tickets!
- 29 days annual leave PLUS Bank Holidays.
- Flextime with core hours between 10am and 3pm.
- 2 days work from home per week.
- Enhanced maternity pay.
- Regular social events in both UK locations.
- Professional growth and career development including LinkedIn Learning.
In addition to your salary, MarketCast believes in providing a competitive total rewards package for its employees. All benefits are subject to eligibility requirements, and the terms of our official plan may be modified or amended from time to time.
GENERAL DATA PROTECTION REGULATION (UK GDPR) NOTICE: The organisation collects and processes personal data relating to its applicants, employees and former employees to manage pre-employment and employment relationships and post-employment obligations. The organisation is committed to being transparent about how it collects and uses that data and to meeting its data protection obligations. For further information on the information we collect, how it’s used, and how it's protected, please contact the MarketCast UK HR Team.
Associate Data Scientist in London employer: MarketCast, Inc.
At MarketCast, we pride ourselves on being an exceptional employer, offering a vibrant work culture that champions diversity and inclusion. Our Associate Data Scientists enjoy a wealth of benefits, including 29 days of annual leave, flexible working hours, and opportunities for professional growth through platforms like LinkedIn Learning. With a commitment to employee well-being and a collaborative environment, our Reading and London offices provide the perfect backdrop for meaningful and rewarding careers in data science.
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We think this is how you could land Associate Data Scientist in London
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We think you need these skills to ace Associate 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!
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How to prepare for a job interview at MarketCast, Inc.
✨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!
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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
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✨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.