4 of 4 Pandas Jobs in Bristol

Data Science Trainer

Hiring Organisation
Hireshire
Location
Bristol, UK
learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred) Excellent communication and presentation skills Ability ...

Data Science Intern

Hiring Organisation
Hireshire
Location
Bristol, UK
Employment Type
Full-time
recently completed) B.Tech/BE/M.Tech/MSc in Data Science, Computer Science, Statistics, or related fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics ...

Data Analytics Trainer

Hiring Organisation
Hireshire
Location
Bristol, UK
Employment Type
Full-time
fundamentals & analytical thinking Data collection, cleaning, and preprocessing techniques Exploratory Data Analysis (EDA) SQL for data querying and analysis Python for data analysis (NumPy, Pandas, Matplotlib, Seaborn) Guide learners through real-world datasets, case studies, and hands-on assignments Support learners during doubt-resolution sessions and interactive discussions Required Skills ...

Senior Data Engineer - Actuarial - Asset Management Data - Investment/Insurance Experience

Hiring Organisation
Orbis Group
Location
Bristol, UK
Employment Type
Full-time
urgently seeking a Senior Data Engineer. You will work with actuarial and asset management datasets, building end-to-end data pipelines in Python (Pandas, NumPy), SQL, GCP (BigQuery), DBT, and Databricks. This role focuses on large-scale financial data, automating processes, integrating multiple data sources, and delivering actionable insights … financial securities, portfolio valuations, or actuarial outputs in investment, reinsurance, or life insurance environments. Python & SQL: Build analytical pipelines and scalable data solutions using Pandas, NumPy, and SQL. Cloud/Tools: Experience with GCP (BigQuery), DBT, and Databricks. Domain Expertise: Prior delivery of projects in investment operations, reinsurance, or actuarial ...