Data Scientist - Content Analytics & ML

London Stock Exchange Group; Gdynia; On-site; PLN 115,000 - 182,000; Full time

Benefits offered by this job

Healthcare

Retirement plan

Volunteer days

Job summary

The London Stock Exchange Group is seeking a Data Scientist to design and develop new methodologies, quantitative models, and analyses that enhance existing processes and products. You will maintain model performance and collaborate with multiple teams to expand content-driven analytics across datasets.

Responsibilities include data handling, automated data sourcing, building models, and delivering visualizations to support product design and decision making.

Qualifications

• Extensive experience using Python or R or equivalent.
• Proficient in using libraries such as scikit-learn, numpy, pandas, and Jupyter.
• Solid relational database skills.
• Strong understanding of statistics and statistical language such as R.
• Ability to handle large quantities of data.
• Narrate stories about content and processes by data analysis and visualization.
• Strong written, communication and presentation skills.

Responsibilities

• Data handling, data processing and programming.
• Develop automated solutions for sourcing/loading Entity data into Database.
• Analyze Legal entity content to establish patterns/trends.
• Develop, improve and run quantitative models.
• Generate solutions through machine learning for core processes.
• Work with business, content and product groups for large-scale analytics problems.
• Build POCs, visualizations and pipeline tools for product design and development.
• Work with development groups for deployment of analytics solutions.
• Interact with other internal teams as needed, with supervision.

Skills

Python

R

scikit-learn

NumPy

Pandas

Jupyter

Relational DBs

Statistics

Education

Stats/Math/CS with DS cert

Tools

Python

R

SQL

Job description

The London Stock Exchange Group is seeking a Data Scientist to design and develop new methodologies, quantitative models, and analyses that enhance existing processes and products. You will maintain model performance and collaborate with multiple teams to expand content-driven analytics across datasets.

Responsibilities include data handling, automated data sourcing, building models, and delivering visualizations to support product design and decision making.