Python, R, or SQL. Strong understanding of machine learning algorithms (supervised, unsupervised, deep learning, etc.). Experience with data manipulation and analysis libraries (e.g., pandas, numpy). Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib). Experience with cloud platforms (e.g., AWS, Google Cloud) and big data technologies More ❯
degree in a relevant field. Experience: Significant experience in data science, large datasets, and industrial R&D. Technical Skills: Proficiency in TensorFlow, MATLAB, Python (pandas, numpy, scipy, bokeh), AI algorithms, cluster analysis, and SQL databases. Data Analysis: Strong mathematical, statistical, and data visualization skills, including efficient analysis of large datasets. More ❯
Birmingham, Staffordshire, United Kingdom Hybrid / WFH Options
TieTalent
Python, R, or SQL. Experience with machine learning techniques, including supervised and unsupervised learning, and deep learning. Proficiency in data analysis libraries such as pandas, numpy, scikit-learn, or TensorFlow. Familiarity with data visualisation tools (e.g., Tableau, Power BI, Matplotlib). Experience working with cloud platforms (AWS, Azure, GCP) and More ❯
or experience in the pharmaceutical industry. Strong proficiency in programming such as Python, R, or MATLAB, and relevant data science libraries (such as NumPy, Pandas, Matplotlib, Scikit-learn, etc.) for data analysis, manipulation, and visualization. Experience with bioinformatics tools and databases, especially those pertinent to omics data analysis such as More ❯
some combination of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following More ❯
Loughborough, Leicestershire, United Kingdom Hybrid / WFH Options
Saint Gobain
field. Previous programming experience with data in Python and SQL (ideally via an analytics type project) Understanding of the Python data & AI "stack" (e.g. pandas, numpy, scikit-learn) Good communication skills with both technical and non-technical audiences We are looking for individuals with a critical thinking mindset, this can More ❯
Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas, Spark, and SQL. As a Data Scientist at PwC, you will work on cutting-edge projects, using data to drive strategic insights and business decisions. … tooling e.g. Sklearn) and (Deep learning frameworks such as Pytorch and Tensorflow). Understanding of machine learning techniques. Experience with data manipulation libraries (e.g. Pandas, Spark, SQL). Git for version control. Cloud experience (we use Azure/GCP/AWS). Skills we'd also like to hear about More ❯
