10 of 10 Remote/Hybrid Permanent NumPy Jobs

/stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python, R, and relevant libraries (e.g., numpy, pandas, scikit, pytorch, tidyverse, caret, ggplot, etc.). Proven experience developing, refining, and monitoring NLP models. Familiarity with database management tools and techniques (e.g. ...

stress-testing, simulation analysis, rare event modeling, and stochastic modeling preferred but not required. Substantial experience with Python , especially data-science-relevant libraries (e.g., numpy, pandas, scikit-learn, etc.). Familiarity with database management tools and techniques (e.g., SQL, S3, API protocols) preferred but not required. Understanding of model evaluation ...

trends in AI, ML, and data science What you'll bring: * Solid experience in data science or advanced analytics roles * Strong Python skills (pandas, NumPy, scikit-learn) * Experience building predictive models (forecasting, clustering, regression) * Hands-on experience with LLMs, NLP, or generative AI techniques * Strong SQL skills and experience working ...

data platforms (e.g., Hadoop), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure). Programming Skills: Programming skills in languages like Python (NumPy, pandas, PySpark), Java (Core Spark with Java, functional interface, collections), or Scala with experience in automation and scripting. Infrastructure Tools: Experience with containerization and orchestration ...

products Your Skills and Experience * Strong commercial experience in data analytics, data science, or consulting environments * Proficiency in Python, including libraries such as Pandas, NumPy and scikit learn * Strong SQL skills and experience working with structured data * Solid understanding of statistical analysis and regression techniques * Exposure to cloud platforms, ideally ...

delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong Python (pandas, numpy, scikit-learn or similar) Strong SQL (complex joins, aggregations, analytical functions) Solid grounding in applied statistics, evaluation design, calibration, bias/fairness Experience working closely ...

Storage (ADLS).· Solid understanding of Scrum practices and a strong Agile mindset.· Advanced proficiency in Python and its key data and ML libraries (NumPy, PySpark, Scikit learn, TensorFlow/PyTorch)· Working knowledge of generative AI models (e.g., ChatGPT, Claude), Databricks GenAI tooling (including embedding models), and modern data structures ...

team,* Familiar with common machine learning and model acceleration frameworks (e.g. PyTorch, ONNX, ONNX Runtime)* Experienced with Python data and matrix manipulation libraries (e.g. numpy and pandas),* Knowledgeable about Python memory management and optimising GPU usage (beneficial but not essential),* Experienced with Rust, specifically the ort crate (beneficial ...

Full-time, Permanent At a Glance Data science role at a US FinTech scale-up doing something genuinely new Python-first (Pandas, Polars, NumPy) with GCP and LLM exposure Fully remote across Northern Ireland Salary negotiable depending on experience Real product influence - not dashboard maintenance About the Company A Boston … Design and implement profit intelligence frameworks covering cost allocation, margin analysis, and unit economics Build data pipelines and transformation logic in Python (Pandas, Polars, NumPy) Apply LLMs to map unknown data structures to canonical models, infer relationships, and generate explainable financial insights Collaborate with engineering to productionise models into scalable ...

Full-time, Permanent At a Glance Data science role at a US FinTech scale-up doing something genuinely new Python-first (Pandas, Polars, NumPy) with GCP and LLM exposure Fully remote across Northern Ireland Salary negotiable depending on experience Real product influence - not dashboard maintenance About the Company A Boston … Design and implement profit intelligence frameworks covering cost allocation, margin analysis, and unit economics Build data pipelines and transformation logic in Python (Pandas, Polars, NumPy) Apply LLMs to map unknown data structures to canonical models, infer relationships, and generate explainable financial insights Collaborate with engineering to productionise models into scalable ...