or Master's degree in Data Science, Statistics, Computer Science, Mathematics, or Engineering - or equivalent. Proficiency in Python and relevant data science libraries (NumPy, pandas, scikit-learn, etc.). Experience with SQL, Power BI, Git & GitHub. Strong knowledge of Machine Learning Algorithms and respective theory. Ability to work within a More ❯
development Strong programming skills in Python and experience with production grade python code Deep knowledge of Python libraries such as Scikit-learn, PySpark, NumPy, Pandas Familiarity with Python's unit testing framework (currently using pytest) Experience collaborating and using Github Excellent communication and teamwork skills, with a strong attention to More ❯
improvements through DevOps and Infrastructure-as-Code (ideally using Terraform) Take ownership of system observability, stability, and documentation Requirements Strong experience in Python (especially Pandas and PySpark) and SQL Proven expertise in building data pipelines and working with Databricks and Lakehouse environments Deep understanding of Azure (or similar cloud platforms More ❯
improvements through DevOps and Infrastructure-as-Code (ideally using Terraform) Take ownership of system observability, stability, and documentation Requirements Strong experience in Python (especially Pandas and PySpark) and SQL Proven expertise in building data pipelines and working with Databricks and Lakehouse environments Deep understanding of Azure (or similar cloud platforms More ❯
improvements through DevOps and Infrastructure-as-Code (ideally using Terraform) Take ownership of system observability, stability, and documentation Requirements Strong experience in Python (especially Pandas and PySpark) and SQL Proven expertise in building data pipelines and working with Databricks and Lakehouse environments Deep understanding of Azure (or similar cloud platforms More ❯
Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development More ❯
Bristol, Stoke Gifford, Gloucestershire, United Kingdom
Synoptix
Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development More ❯
Experience working within a variety of development frameworks and practices e.g. DevOps, DevSecOps, SCRUM, MLOps, XP. Experience with data analysis and manipulation tools (e.g. Pandas) Experience of a broad section of the Software Development Lifecycle (SDLC) with specific focus on: Design(Architecting, High-Level Design and Low-Level Design) Development More ❯
insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g., planning, time management) Strong problem-solving More ❯
Proven experience in ML pipeline development and product-aligned implementation Experience working in cross-functional teams (hardware and software) Technical Skills Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Solid understanding of signal processing (filtering, spectral analysis, feature extraction) Experience with ML classification models and deep learning frameworks Familiarity More ❯
Proven experience in ML pipeline development and product-aligned implementation Experience working in cross-functional teams (hardware and software) Technical Skills Strong Python (NumPy, pandas, scikit-learn, PyTorch/TensorFlow) Solid understanding of signal processing (filtering, spectral analysis, feature extraction) Experience with ML classification models and deep learning frameworks Familiarity More ❯
Je hebt bij voorkeur een minimum van 3 jaar ervaring in een rol als scientist of analyst; Je hebt een grondige kennis van Python (pandas, numpy, scikit-learn, ) en SQL; Ervaring met LLMs en LangChain is een grote troef; Kennis van SPSS is een plus; Je analytische geest en flexibiliteit More ❯
a 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 ❯
insurance sector is a plus! Education: Degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: - Proficiency in Python, SQL and Pandas - Experience with modern NLP techniques and tools. - Ability to create and manage data quality metrics and dashboards. - Experience working in a multifunctional agile development team. More ❯
insurance sector is a plus! Education: Degree in Computer Science, Data Science, Engineering, or a related field. Technical Skills: - Proficiency in Python, SQL and Pandas - Experience with modern NLP techniques and tools. - Ability to create and manage data quality metrics and dashboards. - Experience working in a multifunctional agile development team. More ❯
with significant industry or research experience in the field. Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas). Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals. Experience More ❯
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. Experience More ❯
as robustness, explainability, or uncertainty estimation. Advanced programming and mathematical skills with Python and an experience with the standard Python data science stack (NumPy, pandas, Scikit-learn etc.). The ability to conduct and oversee complex technical research projects. A passion for leading and developing technical teams; adopting a caring More ❯
e.g. by using Hadoop/Spark/SQL. Experience with or ability to quickly learn open-source software including machine learning packages, such as Pandas, scikit-learn, along with data visualization technologies. Experience in the retail sector would be an added advantage. What you can expect from us We won More ❯
large-scale DT/OT efforts for avionics, communications, or C2 systems. Hands-on with test automation frameworks, instrumentation, and data-analysis tools (MATLAB, Pandas, JMP, or similar). Familiarity with MIL-STD-810/461, RCC 324/125-15, or comparable environmental and EMI/EMC standards. Desired More ❯
SME lending. Ability to simplify complex topics and communicate clearly. Curiosity and a data-driven decision-making approach. Proficiency with large datasets using Python (Pandas) or SQL. Understanding of credit policy governance and working effectively with second/third line defenses. Strong planning skills to manage multiple objectives. Proactive problem More ❯
degree. Experience in building AI models/platforms including Gen AI. Experience with Python, ML libraries (such as scikit-learn, pytorch, etc), SQL, Spark, pandas and cloud technologies. Experience in designing and running live model tests. Have strong knowledge of the whole model lifecycle from exploring data to bringing machine More ❯
at minimum a Masters degree. We have multiple openings! -Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow -Strong background in database management solutions, familiarity with databases such as MySQL and Oracle -Large-scale data processing and implementing batch processing pipelines More ❯
at minimum a Masters degree. We have multiple openings! -Exceptional academic and industry experience with Python and especially with data handling libraries such as Pandas and PyArrow -Strong background in database management solutions, familiarity with databases such as MySQL and Oracle -Large-scale data processing and implementing batch processing pipelines More ❯
Building, Extract, Transform, and Load (ETL) pipelines, Web Application Servers, or Search Index. • Experience using programming languages and products such as Python, Jupyter Notebook, Pandas, Numpy, Requests, or Antigravity. • Experience applying complex mathematical and statistical concepts. • Experience applying statistical and operations research methods and tools. • Experience employing spreadsheets for data More ❯
