mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar MLOps tools. 📩 Interested? Apply below or More ❯
mindset. Proven track record with NLP applications and transformer-based models like BERT or GPT. Advanced proficiency in Python, including PyTorch, Hugging Face Transformers, Pandas, and scikit-learn. Strong understanding of cloud services (preferably AWS) and experience with Docker, Kubernetes, MLFlow, Kubeflow, or similar MLOps tools. 📩 Interested? Apply below or More ❯
track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business More ❯
track record of delivering impactful projects. Strong statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business More ❯
as 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 More ❯
to the founding members, and you’ll be given ownership on the direction of data engineering across the business. They’re currently using Python (Pandas), PostgreSQL, on AWS as the core technologies within data engineering, but you’ll also work on some exciting AI projects. If you feel there’s More ❯
london, south east england, united kingdom Hybrid / WFH Options
Saragossa
to the founding members, and you’ll be given ownership on the direction of data engineering across the business. They’re currently using Python (Pandas), PostgreSQL, on AWS as the core technologies within data engineering, but you’ll also work on some exciting AI projects. If you feel there’s More ❯
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 ❯
software development experience, with a proven ability to work independently and innovate. Proficiency in Python, particularly for numerical computing and machine learning Particularly numpy, pandas (both must haves) Good working knowledge of a fast language such as C/C++/Rust. Understanding of production-level system design and architecture. More ❯
software development experience, with a proven ability to work independently and innovate. Proficiency in Python, particularly for numerical computing and machine learning Particularly numpy, pandas (both must haves) Good working knowledge of a fast language such as C/C++/Rust. Understanding of production-level system design and architecture. More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 More ❯
mentorship. 🧠 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 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 ❯
of 4 years of experience in designing, developing and deploying production-level deep learning recommendation models with a proven business impact. Fluency in Python, Pandas/Dask, SQL, PyTorch or Tensorflow. Ability to write readable and maintainable code. Strong communication and storytelling skills with both technical and non-technical audiences. 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 ❯
