1 to 25 of 62 Pandas Jobs in the South East

C++, C#, TypeScript, JavaScript Machine Learning: TensorFlow, PyTorch, Scikit-learn GenAI/LLMs: OpenAI API, Hugging Face Transformers, LangChain, Langraph, RAG pipelines Data & Analytics: Pandas, NumPy, Spark, Databricks, Hadoop, Vector Databases, Snowflake Model Deployment: MLflow, FastAPI, Flask, Docker, Kubernetes Cloud & Infrastructure: AWS, Azure, GCP CI/CD pipelines (GitLab, Jenkins ...

understanding the limitations of the language) and in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

imbalance exposure, generation patterns, demand profiles, and commercial optimisation. Required Skills and Experience Technical Skills Proficiency in Python and associated data science libraries (NumPy, Pandas, SciPy, scikit‐learn, PyTorch/TensorFlow). Strong experience with time‐series modelling (ARIMA, Prophet, LSTMs or similar). Understanding of optimisation methods (linear, mixed ...

stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy. Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch. Statistics & Math: Strong foundation in statistical ...

optimization. Experience with distributed systems, parallel computing, and high-performance processing of large datasets. Strong experience in data pipelines, working with tools such as Pandas, NumPy, and SQL/NoSQL databases. Proven experience working in fast-paced environments, ideally within trading, financial services, or high-frequency environments. Proficiency in developing ...

comfortable with ambiguity and will want to dive deep and fix problems at scale. The environment looks a bit like this Python (pandas, numpy, scipy, PySpark) SQL AWS or GCP (BigQuery/RedShift/Snowflake) Spark/Databricks Airflow/Dagster ...

Mathematics/Computer Science Academic background 3-5 years of experience with Python (writing and managing code releases) Familiarity with numerical Python libraries, e.g. Pandas, Numpy Firm understanding of version control, testing, and continuous integration Understanding and appreciation for best practices Experience working with SQL databases and Sqlalchemy desired ...

Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation ...

Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation ...

Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation ...

Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation ...

Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation ...

Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation ...

Statistics, Mathematics, Engineering, or a related field 0–1 years of experience in data analysis or data science (internships included) Strong foundation in Python (Pandas, NumPy, Scikit-learn) or R Basic understanding of statistical analysis and machine learning concepts Experience working with SQL and relational databases Familiarity with data visualisation ...

Qualifications Core Technical Skills Skill Area Requirements Programming Strong proficiency in Python for data manipulation and scripting. Familiarity with standard Python data libraries (e.g., Pandas, NumPy). Database Expert-level proficiency in SQL (Structured Query Language). Experience writing complex joins, stored procedures, and performing performance tuning. Big Data Concepts ...

GenAI solutions then this could be for you! Were looking for Engineers offering competent core technical skills in Python Programming, Data Handling with NumPy, Pandas, SQL, and use of Git/GitHub for version control. Any experience with these GenAI Use Cases would be relevant and desirable; Chatbots, copilots, document ...

inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming: NumPyro, PyMC Data skills: Proficient in SQL, with the ability to write efficient ...

toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations, end-to-end neural network ...

Software Engineer with up to 6+ years of hands-on Python experience. Familiarity with AWS Serverless and related technologies would be advantageous. Strengths in Pandas, Polars, Pytest, Postgres, and CI/CD is essential. If you're interested in Agile methodologies, and have a curiosity about DDD and Event-Driven ...