/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a More ❯
/ML software. Strong expertise in machine learning and neural network algorithms. Proficient in programming languages like Python, and libraries such as TensorFlow, PyTorch, NumPy and LangChain Experience with server deployment, cloud computing environments, and API development. Good understanding of software engineering best practices. Excellent problem-solving abilities and a More ❯
4+ years of engineering experience, at least 1 year in a leadership role. Strong knowledge of Machine Learning. Advanced knowledge of Python & DS packages (numpy/pandas/sklearn/keras, etc.); ability to optimize and speed up code. Solid experience with SQL (MySQL, Google BigQuery); understanding of data warehousing More ❯
pipelines. Requirements 2-5 years of experience in market risk, preferably within crypto, fintech, derivatives trading, or digital asset exchanges. Proficiency in Python (pandas, NumPy, matplotlib) for analytics and tool development. Experience with SQL and handling large structured/unstructured datasets. Familiarity with Git/GitHub and collaborative development workflows. More ❯
a Data Scientist or in a similar analytical role. Strong programming skills in Python or R, with proficiency in data manipulation libraries (e.g., Pandas, NumPy). Experience with machine learning frameworks (e.g., Scikit-Learn, TensorFlow) and data visualization tools (e.g., Tableau, Matplotlib). Solid understanding of statistics, probability, and data More ❯
s 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 More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills 🌟 Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics More ❯
Must-Have Skills: • Basic knowledge of Python and/or SQL • Curiosity and willingness to work with data • Familiarity with any one: Excel, Pandas, Numpy, or visualization tools • Good communication and time management skills Nice-to-Have (But Not Required): • Experience with data cleaning, modeling, or dashboards • Understanding of statistics 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 ❯
or an MS 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 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 ❯
Strong mathematical/statistical background with demonstrable experience in developing deep learning algorithms for research Expert level technical programming skills, with emphasis on Python (NumPy, PyTorch etc) and preferably experience with R Experience of applying deep learning techniques to omics datasets Ability to read machine learning research articles and implement More ❯
such 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 More ❯
data pre-processing and post-processing, machine learning, deep learning, time-series algorithms, explainability methods and more, using Python packages (including Scikit-Learn, Pandas, NumPy, NLTK, etc.). Preferred skills and technical familiarity At least 4 years of proven experience in Data Science. Sc./M.Sc. from a leading university More ❯
pragmatic application of data science and optimization best practices at large scale (industry scale platform experience preferred) Excellent development skills (Python required, specifically pandas, numpy, SciKit; Knowledge in Scala a plus) Familiarity with digital marketing, advertising or analytics is a plus Work experience in complex system engineering environments is a More ❯
Derby, Derbyshire, United Kingdom Hybrid / WFH Options
ENGINEERINGUK
in Python Ability to visualise data appropriately and in a concise manner utilising a range of technologies. Familiarity with data manipulation libraries (e.g., pandas, numpy) and machine learning libraries (e.g., scikit-learn). Knowledge of standard software development process, good coding practice and change control technologies (e.g., Git, Azure pipelines More ❯
excel in data analysis and visualization a meticulous coder with an eye for readability, with experience in python and industry standard data science packages (numpy, pandas, matplotlib, sqlite, or others). Able to use SQL syntax writing and workflows. You have good familiarity with file/data formats, such as More ❯
raw data into a unified and reliable asset. Projects natural confidence in communication and has strong stakeholder management skills. Has strong proficiency with Pandas, Numpy, PySpark or similar for Data Analysis & Cleaning Python Has some working knowledge of tools such as Beautiful Soup, Selenium and/or Scrapy Python Maintains More ❯
