wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms More ❯
Stevenage, England, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms More ❯
stevenage, east anglia, United Kingdom Hybrid / WFH Options
Tata Consultancy Services
wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms More ❯
wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). Ability to work independently and lead projects from inception to deployment. Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms More ❯
Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of datavisualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes). Past experiences working in Fintech, Financial Services More ❯
Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of datavisualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes). Past experiences working in Fintech, Financial Services More ❯
Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of datavisualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes). Past experiences working in Fintech, Financial Services More ❯
Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of datavisualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes). Past experiences working in Fintech, Financial Services More ❯
Preferred Qualifications: Experience with API integrations and working with RESTful APIs. Knowledge of datavisualization tools (e.g., Tableau, Power BI, or Matplotlib/Seaborn). Familiarity with version control systems (e.g., Git). Experience with containerization tools (e.g., Docker, Kubernetes). Past experiences working in Fintech, Financial Services More ❯
Analysis: Proficient in data manipulation and analysis using tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau to communicate insights effectively. Our offer: Cash: Depends on experience Equity: Generous equity package, on a standard vesting schedule Impact & Exposure: Work More ❯
concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
concepts and methodologies. Data Manipulation & Analysis: Proficiency with tools like Pandas, NumPy, and Jupyter Notebooks. Experience with datavisualization tools such as Matplotlib, Seaborn, or Tableau. More ❯
frameworks (e.g., TensorFlow, PyTorch). • Proficiency in Python, R, or other relevant programming languages. • Experience with data analysis and visualization tools (e.g., Matplotlib, Seaborn, Tableau). • Ability to work independently and lead projects from inception to deployment. • MSc or PhD in Computer Science, Artificial Intelligence, or related field More ❯
Wakefield, Yorkshire, United Kingdom Hybrid / WFH Options
Flippa.com
libraries like Flask, FastAPI, Pandas, PySpark, PyTorch, to name a few. Proficiency in statistics and/or machine learning libraries like NumPy, matplotlib, seaborn, scikit-learn, etc. Experience in building ETL/ELT processes and data pipelines with platforms like Airflow, Dagster, or Luigi. What's important for More ❯
platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability More ❯
platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability More ❯
platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability More ❯
platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability More ❯
london (camden town), south east england, United Kingdom
Wowcher
platforms such as AWS, Azure, or Google Cloud for AI model deployment. Data Visualisation: Ability to present insights effectively using tools like Matplotlib, Seaborn, Tableau, or Power BI. Model Deployment: Understanding of MLOps principles, APIs, and containerization (Docker, Kubernetes) for productionizing AI models. Business-Focused AI Application: Ability More ❯
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). You More ❯
to apply this process when handling structured or unstructured data Confident with using common data science tooling such as Jupyter notebooks, pandas, matplotlib, seaborn, numpy API testing and security tools: Postman, Burp Suite, OWASP ZAP, etc. Strong knowledge of database management systems (DBMS) such as MySQL Hands-on More ❯
