126 to 150 of 177 Remote NumPy Jobs

of experience in a data-driven role, with exposure to: building machine learning models and pipelines in Python, using common libraries and frameworks (e.g., NumPy, SciPy, Pandas, PyTorch, JAX), especially including deep learning applications; developing models for bespoke problem settings that involve high-dimensional data (spatiotemporal, geometric, physical); iterating on More ❯

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 More ❯

programming (LP, MILP). Experience with visualisation tools such as Streamlit, or, in alternative, Grafana, Dash, Power BI. Comfortable with the following python tools: numpy, pandas, pyomo, poetry, highspy) Experience handling large volumes of data. Experience with numerical task orchestration and scheduling. Project management skills and ability to effectively engage More ❯

Proficient/intermediate level programming skills, preferably Python. Software collaboration experience using version control, preferably Git. Experience using foundational data science libraries e.g., Pandas, NumPy, scikit-learn or equivalent. Experience applying state-of -the-art machine learning to commercial problems. Experience using software development/deployment tools, platforms, and best More ❯

similar to CI/CD practices in software development. Requirements PhD or Masters in a related field Proficiency in Python, including Pandas, Scikit-learn, NumPy Experience with GCP (preferred) Forecasting experience (nice to have) Additional Details Remote position available. Desired Skills and Experience: Forecasting, Price Optimisation, Python, Pandas. #J More ❯

in Maths, AI, or Computer Science Excellent theoretical grounding in AI/ML Creativity in model design and problem-solving Proficiency in Python (Pandas, NumPy, scikit-learn, PyTorch/TensorFlow) Bonus: fluent in German, French, or Spanish Role Highlights: £80,000–£100,000 salary plus bonus (depending on experience) UK More ❯

trade and provide clear, actionable results. Collaborate with cross-functional teams and stakeholders to ensure the implementation of insights. Technical Skills : Proficiency in Python (NumPy, Pandas) and SQL. Solid experience with data modeling, data analysis, and machine learning techniques. Ability to work with large datasets and extract valuable business insights. More ❯

The Person Experience in a data/product/business analyst role (ideally in tech or SaaS) Strong SQL and Python skills (e.g. Pandas, NumPy) and confidence handling large, complex datasets Proficiency with BI tools (e.g. Tableau, Looker, Metabase) Excellent communication and data storytelling skills Comfortable working cross-functionally with More ❯

Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job More ❯

Understanding of transfer learning and popular augmentation techniques Able to apply machine learning to real-life problems Vision Transformers, DeepLabv3, SegFormer, etc.Python, Scikit-Learn, NumPy, Pandas and PyTorch/TensorFlow/Keras Thrive in a cross-functional working environment Possess a clear passion for data science beyond the day job More ❯

of experience in data science within a business context Data wrangling, statistical analysis, machine learning, and predictive modeling Python and libraries such as Pandas, NumPy, Scikit-learn SQL, Power BI, and Databricks Strong business acumen: ability to translate data insights into business recommendations Cloud & GenAI Expertise: Hands-on with Azure More ❯

Extensive experience in building and deploying Marketing Mix Models, with a strong focus on Bayesian methods. Expert-level proficiency in Python, especially with pandas, NumPy, and probabilistic programming libraries such as PyMC. Experience with R is a bonus, particularly for MMM-related workflows. Deep understanding of regression modelling, Bayesian inference More ❯

Extensive experience in building and deploying Marketing Mix Models, with a strong focus on Bayesian methods. Expert-level proficiency in Python, especially with pandas, NumPy, and probabilistic programming libraries such as PyMC. Experience with R is a bonus, particularly for MMM-related workflows. Deep understanding of regression modelling, Bayesian inference More ❯

Extensive experience in building and deploying Marketing Mix Models, with a strong focus on Bayesian methods. Expert-level proficiency in Python, especially with pandas, NumPy, and probabilistic programming libraries such as PyMC. Experience with R is a bonus, particularly for MMM-related workflows. Deep understanding of regression modelling, Bayesian inference More ❯

experience as a Data Analyst or Data Scientist in IT companies. Proficiency in SQL (BigQuery experience is a plus). Solid Python knowledge (pandas, numpy at least intermediate level). Strong knowledge of statistics and probability theory. Experience with A/B testing analysis. Experience building analytical models. Understanding of More ❯

documented code Share ideas to improve and evolve our data platform What You Bring Proficiency in Python, SQL, and ML libraries (e.g., SKLearn, XGBoost, Numpy) Strong statistical reasoning and analytical mindset Ability to explain complex concepts to diverse stakeholders Self-starter attitude with curiosity and drive A degree in Data More ❯

3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to More ❯

3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to More ❯

3+ years industry experience in a Data Science role and a strong academic background Python Data Science Stack: Advanced proficiency in Python , including pandas , NumPy , scikit-learn , and Jupyter Notebooks . Statistical & ML Modelling: Strong foundation in statistical analysis and proven experience applying a range of machine learning techniques to More ❯

least 1 year in a Data Science role, with practical experience applying machine learning techniques. Proficiency in Python, with experience using libraries like pandas, NumPy, scikit-learn, and PyTorch. A relentless drive to push model performance boundaries, a focus on client needs, and a dedication to delivering impactful results. Familiarity More ❯

challenge hypotheses, analyze and structure data, draw conclusions, and interrelate data. Proficiency in mathematical statistics and practical experience applying it. Confidence using Python (Pandas, NumPy) and experience with SQL. Ability to determine the appropriate approach to data assessment: analytics, research, or leveraging external data. At least one year of experience More ❯

strong ability to analyze and interpret large datasets, uncovering meaningful trends and insights. You are proficient in SQL and experienced in using Python (pandas, numpy, matplotlib, seaborn) for exploratory data analysis and data visualization. Big plus is practical familiarity with the big data stack (Spark, Presto/Athena, Hive). More ❯

BI/Fabric Strong problem-solving and critical thinking abilities Excellent communication skills and stakeholder engagement experience Familiarity with Python for data analysis (pandas, NumPy, etc.) - desirable Understanding of data warehousing, ETL, and data governance - desirable Degree in a STEM subject - nice to have Knowledge of the energy/utilities More ❯

years of AI experience in AI/ML projects - ideally working on business solutions and workflows. Proficient with Python and libraries such as NumPy, Pandas, and one or more ML frameworks (e.g., Scikit-learn, TensorFlow, or PyTorch). Understanding of how machine learning models are trained, evaluated, and deployed. Exposure More ❯

ML pipelines, data workflows, and analytical processes. Your skills and experience 5+ years of experience in data science. Experience with data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. More ❯