Data Scientist I: Global Learning & High-Impact Analytics

Talantir; Greater London; On-site; GBP 45,000 - 70,000; Full time

Job summary

Talantir in London seeks a Data Scientist I to collaborate with clients and interdisciplinary teams on impactful analytics solutions. You will translate business problems into analytical challenges, build models, and evaluate them with relevant metrics while contributing to internal tools and R&D.

You will work with cutting-edge projects across industries, attend conferences, and help clients transform operations using math, statistics, and machine learning.

Qualifications

• Bachelor’s, Master’s or PhD in a technical field related to CS/ML/Statistics.
• Up to 2 years of professional ML/data mining experience with substantial data sets.
• Proficient in Python or R, and SQL; familiarity with ML libraries.
• Ability to prototype statistical analysis and modeling algorithms.
• Strong analytics, problem solving, and communication skills.
• GenAI experience is a strong plus; travel willingness.

Responsibilities

• Collaborate with clients and cross-disciplinary teams to develop analytics solutions.
• Translate business problems into analytical tasks and build models.
• Contribute to internal tools and R&D projects; present at conferences.
• Help clients improve operations and drive data-driven decisions.

Skills

Python

R

SQL

PySpark

Machine learning

Statistics

Communication skills

Time management

GenAI experience

Travel willingness

Education

Bachelor’s/Master’s/PhD in CS/ML/Statistics/Engineering/Physics

Tools

Docker

Kubernetes

Airflow

Databricks

Kedro

PyData stack

SQL

AWS GCP Azure

Job description

Talantir in London seeks a Data Scientist I to collaborate with clients and interdisciplinary teams on impactful analytics solutions. You will translate business problems into analytical challenges, build models, and evaluate them with relevant metrics while contributing to internal tools and R&D.

You will work with cutting-edge projects across industries, attend conferences, and help clients transform operations using math, statistics, and machine learning.