201 to 225 of 620 Pandas Jobs

inform store and asset placement decisions Must-Have Requirements: 3-5+ years' experience applying classical ML in commercial settings Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn) Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.) Comfortable working across the full ML lifecycle Previous exposure to ambiguous or … inform store and asset placement decisions Must-Have Requirements: 3-5+ years' experience applying classical ML in commercial settings Excellent Python coding skills (production-grade, using libraries like Pandas, NumPy, scikit-learn) Strong understanding of supervised and unsupervised learning methods (regression, classification, clustering, tree-based models, etc.) Comfortable working across the full ML lifecycle Previous exposure to ambiguous or More ❯

approaches. Deployment: ship a model as a container, update an Airflow (or Azure Data Factory) job. Review: inspect dashboards, compare control vs. treatment, plan next experiment. Tech stack Python (pandas, NumPy, scikit-learn, PyTorch/TensorFlow) SQL (Redshift, Snowflake or similar) AWS SageMaker → Azure ML migration, with Docker, Git, Terraform, Airflow/ADF Optional extras: Spark, Databricks, Kubernetes. What you … yrs optimisation/recommender work at production scale (dynamic pricing, yield, marketplace matching). Mathematical optimisation know-how - LP/MIP, heuristics, constraint tuning, objective-function design. Python toolbox: pandas, NumPy, scikit-learn, PyTorch/TensorFlow; clean, tested code. Cloud ML: hands-on with AWS SageMaker plus exposure to Azure ML; Docker, Git, CI/CD, Terraform. SQL mastery for More ❯

Designing Generative AI Proof of Concept. Contribute to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 4+ years of relevant software engineering experience post-graduation A degree (ideally a More ❯

Designing Generative AI Proof of Concept. Contribute to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 4+ years of relevant software engineering experience post-graduation A degree (ideally a More ❯

BI). iii. Agile methodologies and project management tools and utilization of project management tools (e.g., JIRA). iv. Statistical, mathematical, and database Python packages (e.g., NumPy, SQLAlchemy, or Pandas More ❯

and a desire to understand complex issues Beneficial experience • Experience in trading or execution roles • Experience with equity/credit markets • Research using large, messy datasets • Familiarity with Linux • Pandas Benefits: Working alongside other extremely talented and driven engineers Extremely lucrative salary, bonus and benefits More ❯

is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. If you have strong analytical … development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied More ❯

is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. If you have strong analytical … development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied More ❯

is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. If you have strong analytical … development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied More ❯

is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. If you have strong analytical … development (Machine learning frameworks and tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we’d also like to hear about: Evidence of modelling experience applied More ❯

the design and development of advanced AI and machine learning models, integrating plasma physics insights to innovate semiconductor solutions, such as plasma etch and deposition. Utilize Python libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) to architect and prototype cutting-edge ML systems, leveraging Linux environments. Able to expand programming expertise to other languages such as C++ and Java. Drive … testing, and experience leading mid-scale development projects. Advanced proficiency in at least one of Python, C++, Fortran, Julia, or Java, with experience in AI/ML libraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) and familiarity with Linux environments. Strong understanding of physics and engineering principles, ideally with plasma physics knowledge relevant to semiconductor processing. Exceptional communication and leadership More ❯

to define inputs and targets Work with structured web analytics and revenue data in a cloud environment Ensure models are robust, explainable, and production-ready Tech Environment Python (NumPy, Pandas, scikit-learn) SQL GCP (BigQuery, Cloud Functions) Deployment: Docker, Kubernetes, Airflow Git, CI/CD pipelines Tableau (optional) Requirements Proven expertise in time series forecasting at multiple projects Strong Python More ❯

to stakeholders Ideal Profile 5+ years of experience in data science, preferably in manufacturing or industrial settings Strong knowledge of machine learning, statistics, and data modeling Expert in Python (pandas, scikit-learn, etc.) and SQL Experience with cloud platforms (Azure, AWS, or GCP) Familiarity with tools like MLflow, Airflow, Power BI Strong stakeholder management and communication skills Fluent in Dutch More ❯

Integer Programming (MILP, MIQP, MIQCP). Proficient with Gurobi Optimizer (or equivalent like CPLEX, CBC). Understanding of electricity system balancing, dispatch processes, and control systems. Python ecosystem (NumPy, Pandas, SciPy, Pyomo, etc.) Gurobi Optimizer (for LP, QP, MILP, etc.) Contract Details: Duration: 6 months (View for Extension) Day Rate: Up to £500 per day (Inside IR35) Location: Hybrid 3x More ❯

via automated ML Ops. Ideally, you’ll also be technically skilled in most or all of the below: Expert knowledge of Python and SQL, inc. the following libraries: Numpy, Pandas, PySpark and Spark SQL Expert knowledge of ML Ops frameworks in the following categories: experiment tracking and model metadata management (e.g. MLflow) orchestration of ML workflows (e.g. Metaflow) data and … please email We reserve the right to close roles early when the particular role and/or location has had sufficient applications. Nice-to-have skills Python SQL Numpy Pandas PySpark YAML Terraform TensorFlow PyTorch Keras Scikit-learn Unix Scripting Docker Kubernetes AWS S3 DynamoDB Portsmouth, England Work experience Machine Learning DevOps Languages English Seniority level Seniority level Not Applicable More ❯

financial stakeholders. Skills and Experience Required: At least 2 years of experience developing applications with Python frameworks such as Django, Flask, Tornado, or FastAPI, along with data tools like Pandas and NumPy. Some web frontend development skills, preferably with ReactorAngular. Knowledge of SQL, databases, and experience with unit testing. An advanced degree in Computer Science or a related scientific field More ❯

Familiarity with data pipeline orchestration and a strong grasp of DevSecOps best practices in cloud-native environments • Hands-on experience with key tools and frameworks, including: o Python, NumPy, Pandas, scikit-learn o TensorFlow or PyTorch o Elasticsearch, Logstash, Kibana Education Requirement • Shall have at a minimum, a bachelor's degree in computer science, Information Technology Management or Engineering. More ❯

suits someone who is not only technically strong, but solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non-technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud exposure (GCP/AWS More ❯

suits someone who is not only technically strong, but solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non-technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud exposure (GCP/AWS More ❯

highly advanced analytical tools. Company: Trust in Soda Qualifications: Essential Requirements: Extensive experience in deploying products Solid experience with Python, and associated libraries such as scipy, scikit-learn and pandas/numpy Experience creating NLP/DL/RNN models Experience with Image Processing and CNNs Excellent communication skills Degree in CS, maths, statistics, engineering, physics or similar Desirable Requirements More ❯

with business and technology stakeholders. Strong analysis skills; proficiency with Excel, Python, and SQL. Knowledge of agile methodologies/principles is a plus. Comfortable using Python (including Numpy/Pandas) for data analysis. Job Responsibilities: Perform data analysis using SQL and Python for future feature requests. Support daily application-related issues and queries from users. Document use cases and stories More ❯

contribute to a range of projects, work closely with Data Scientists, and even engage with clients! Requirements: 5+ years of experience in Data Engineering Strong working knowledge of Python, Pandas, NumPy, and ETL pipelines Extensive AWS experience (preferably Lambda & Step Functions) Beneficial: Interest or experience in financial markets Experience in a client-facing role Experience with high levels of automation More ❯

report findings Skills Proficiency in data analytics, including statistics, visualization, and handling large datasets Basic understanding of TCP and UDP network protocols Experience with Python and data libraries like Pandas, Numpy/Scipy Familiarity with modern computer systems and networks Experience with real-time exchange market data and order entry is a plus Profile Degree in Data Analytics or related More ❯

investments of certain classes of investors, and creating a model of the detailed side letter terms for specific investors. Technologies used include Python 3.7, C++ 17, SQL/MariaDB, Pandas, and HTML5, CSS, and HTTP web technologies. Requirements Expert in Python coding and proficient with C++, HTML, and relational databases A natural leader with strong interpersonal and communication skills and More ❯

in AI/ML development and data science. Strong proficiency in Python, R, or similar languages. Experience with ML frameworks such as TensorFlow, PyTorch, and data libraries like NumPy, pandas, scikit-learn. Skilled in data wrangling, preprocessing, and managing large-scale datasets. Solid understanding of statistical modelling, predictive analytics, and time series analysis. Experience with data visualisation tools like Matplotlib More ❯