51 to 75 of 97 Remote Pandas Jobs

experience with: Data Quality Data Governance techniques Knowledge of: MLOps Feature Engineering Exposure to data analysis and ML tools such as: scikit-learn pandas NumPy XGBoost LightGBM Familiarity with orchestration tools: Apache Oozie Apache Airflow Why you’ll love it here We want to make Prima a happy and empowering ...

evals, designed metrics, or run structured model comparisons, and you can talk about where your own metrics misled you - Strong Python for data work (pandas, numpy, notebooks, and the ability to write code other people can run) - Confident with SQL and relational databases - Solid grounding in statistics and experiment design ...

cost, MACCs), project finance (NPV, IRR, payback, discount rates) and carbon pricing (ETS, carbon taxes, internal shadow prices). Expert Python for quantitative modelling (pandas, NumPy), with the discipline to make models reproducible, validated and version-controlled (Git/GitHub). Familiarity with using LLMs and agentic-AI workflows ...

between technical developers and business teams, showcasing strong leadership, creativity, and ethical problem‐solving. Technical Expertise & Tools: Python: Advanced, production‐grade proficiency (Pandas, NumPy, FastAPI/Flask) with an absolute focus on writing clean, modular, and highly testable code; SQL: Expert querying, database design, partitioning, and optimization strategies for large ...

translate them into engineering improvements Proficiency in Python (or similar) for instrument control, benchtop automation, and data analysis using scientific libraries (NumPy, SciPy, Pandas); experience interfacing Python with hardware via vendor SDKs or standard protocols Comfortable bridging hardware and software — wiring up cameras, light sources, and motion control to scripted ...

equivalent experience in mathematics, physics, computer science, engineering, quantitative finance or a related field Nice to have Python experience, particularly NumPy, SciPy or pandas KDB+/Q or another functional programming language AWS, Docker or Kubernetes Java performance tuning, garbage‐collection optimisation or LMAX Disruptor Knowledge of futures, forwards, NDFs ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

awareness of modern approaches such as natural language processing and deep learning Strong Python skills and experience with common libraries such as Pandas, scikit-learn and Jupyter Experience working with SQL and data pipelines to prepare and transform data for model training Understanding of model evaluation, monitoring and improving performance ...

development of data-driven solutions, process automation, and data integration is essential. Applicants should have practical experience using Python libraries such as Pandas and NumPy for the cleansing, transformation, validation, and analysis of large and complex datasets. Experience developing and supporting robust ETL pipelines for the extraction, transformation, and loading ...

deep learning techniques, with hands‐on experience in probabilistic methods and predictive modelling. Expertise in python, along with proficiency in libraries like NumPy, SciPy, Pandas, TensorFlow and PyTorch, is essential, with the ability to deploy scalable, production‐ready models and data pipelines. With at least 1 year industry experience (post ...

like PostgreSQL, and familiarity with cloud platforms such as AWS and Azure. Ideal candidates will have strong skills in Python libraries including NumPy and Pandas, along with experience in DevOps practices using CI/CD pipelines. This position offers a hybrid work environment based in Greater London. #J-18808-Ljbffr ...

software design; Practical experience with classical machine learning techniques and awareness of natural language processing and deep learning; Strong Python skills and experience with Pandas, scikit-learn and Jupyter; Experience with SQL and data pipelines for preparing and transforming training data; Understanding of model evaluation, monitoring and performance improvement ...

communication skills with ability to translate data into business insights Desirable Fintech or financial services experience (payments, FX, risk, or treasury) Python experience (e.g. pandas, automation, modelling) Experience with financial metrics (revenue, forecasting, unit economics) Strong commercial mindset and attention to data accuracy What’s on Offer Competitive salary ...

data science, statistics or business intelligence supporting AI and ML work within clinical research, pharma, CRO or medical device environments. Deep Python capability across pandas, numpy, scikit learn, scikit survival, matplotlib, seaborn and shap, with disciplined use of virtual environments and version control. Strong grounding in machine learning methods ...

scripting A commitment to writing testable, maintainable code. Advanced to expert level python development skills, including use of data analysis packages such as Numpy, Pandas, etc. Experience with SQL and/or other database technologies Knowledge of modern technologies such as AWS, Airflow, Docker, GitLab and Redis Ideally working with ...

mindset. Curiosity and willingness to develop new technical skills. Desirable Criteria Relevant Master's or PhD qualification. Experience using Python, particularly libraries such as Pandas and GeoPandas. Experience with scripting or automation within hydraulic modelling software. Experience of software engineering, data science or analytics within the wastewater sector. Familiarity with ...

data science or quantitative academic role, underpinned by high mathematical and statistical competence. You are a strong Python programmer, proficient in essential libraries (NumPy, Pandas) and a deep-learning framework (TensorFlow/PyTorch). You possess a solid grasp of core data science techniques (supervised/unsupervised learning, time-series ...

position or a quantitative academic field. You demonstrate strong programming skills, with the ability to be a fluent Python programmer, using core libraries (NumPy, Pandas) and a deep-learning framework (e.g., PyTorch). You have a deep expertise in core data science paradigms (supervised/unsupervised, NLP, validation), demonstrating ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

appropriate distributions, testing the assumptions behind frequentist statsProficient in using a statistical scripting language and data science/ML packages (e.g. python such as pandas, sklearn, statsmodels, scipy or R such as dplyr, caret, stats)Well-versed in summarising, visualising and communicating findings in an accessible and compelling wayTrack record ...

ahead and survivorship bias, and reconstructing what was knowable on a given date. Statistical modelling and optimisation (statsmodels, cvxpy; PyTorch useful). Datasets in pandas and Parquet/Arrow, plus an analytical engine such as DuckDB. Nice to have Quantitative research background, academic or industry. Index construction and classification taxonomies. ...

that level of detail Comfortable in profiling tools like Nsight or PyTorch Profiler, and monitoring stacks like Prometheus and Grafana Python for data work, Pandas and NumPy, plus general scripting Nice to have rather than essential: a postgraduate degree and research background (publications welcome), real depth on inference serving frameworks ...

tuning paradigms, from SFT to the principles behind RLHF/RLAIF preference modelling; Strong Python skills with LangChain, HuggingFace Transformers, and data pipelines using Pandas, DVC, and Weights & Biases; Ability to define and track generation quality using BLEU, ROUGE, and editorial-specific evaluators; Experience with STT/TTS tools ...