Junior Data Scientist: ML & Analytics, Hybrid (UK)

MarketCast; Greater London; Vor Ort; GBP 30.000 - 42.000; Vollzeit

Benefits dieser Stelle

Free movie tickets

29 days annual leave

Flextime core hours 10-3

2 days work from home

Pension scheme 4%

Enhanced maternity pay

Social events

LinkedIn Learning

Zusammenfassung

MarketCast is seeking a Junior Data Scientist in the UK to support client-facing analytical research. You will analyze large datasets, build models, create bespoke client reports, and explore new data sources.

The role collaborates with global teams and leverages Python, SQL and Streamlit on an AWS data platform. The ideal candidate has a strong maths/statistics foundation, solid SQL/Python/Pandas skills, and a passion for turning data into actionable insights.

Qualifikationen

• Bachelor's degree in a quantitative field; strong maths/statistics background.
• Proficient in SQL, Python and Pandas; able to write Python and build models.
• Experience with machine learning and data visualization tools.
• Ability to understand business problems and translate into actions.
• Excellent communication and problem-solving skills.
• Interest in TV/Media industry a plus.

Aufgaben

• Explore data sources and interrogate data to create meaningful insights.
• Design and develop algorithms, programs, methods and processes.
• Research, develop, and test supervised and unsupervised learning models.
• Maintain and improve ML pipelines, processes and products.
• Collaborate with global teams including India Data Engineering and sales/market research.

Kenntnisse

Analytical mindset

Communication skills

Problem solving

SQL

Python

Pandas

Streamlit

AWS

Ausbildung

Bachelor's degree in a quantitative field

Master's degree preferred

Tools

Python

SQL

Streamlit

AWS

Jobbeschreibung

MarketCast is seeking a Junior Data Scientist in the UK to support client-facing analytical research. You will analyze large datasets, build models, create bespoke client reports, and explore new data sources.

The role collaborates with global teams and leverages Python, SQL and Streamlit on an AWS data platform. The ideal candidate has a strong maths/statistics foundation, solid SQL/Python/Pandas skills, and a passion for turning data into actionable insights.