Frameworks : Scikit-learn, XGBoost, LightGBM, StatsModels PyCaret, Prophet, or custom implementations for time series A/B testing frameworks (e.g., DoWhy, causalml) Programming & Data Tools : Python: Strong foundation in Pandas, NumPy, matplotlib/seaborn, scikit-learn, TensorFlow, Pytorch etc. SQL: Advanced querying for large-scale datasets. Jupyter, Databricks, or notebooks-based workflows for experimentation. Data Access & Engineering Collaboration : Comfort working More ❯
in AI/ML and data science. Mandatory Skills Description: Minimum 8+ years of hands-on experience in Data Science with strong expertise in Python and libraries such as Pandas, NumPy, SciPy, Scikit-learn, TensorFlow, or PyTorch. Proven ability to design, develop, and deploy machine learning, deep learning, and predictive models to solve complex business problems. Strong background in statistical More ❯
science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day Outside IR35 6 months rolling contract Remote, LDN Data Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a More ❯
science ecosystem, ensuring data quality, building analytical pipelines, and visualising insights for stakeholders. Up to 600/Day Outside IR35 6 months rolling contract Remote, LDN Data Scientist - Python, Pandas, NumPy, Git, and Azure/AWS Key Responsibilities: Partner with cross-functional teams to translate business pain points into scalable data science solutions. Architect and deploy ML models (with a More ❯
and AI engineering. Proven track record of delivering AI software and deploying solutions in production. Strong proficiency in Python and libraries such as PyTorch, TensorFlow, Scikit-Learn, Keras, Numpy, Pandas, Langchain, Pinecone, and more. Experience with cloud platforms and compute systems for model training and deployment. Excellent communication and strategic thinking skills. Preferred Experience: Familiarity with industrial domains such as More ❯
about clean, maintainable code and capable of building scalable, efficient solutions. Key Responsibilities: Develop, test, and maintain Python-based applications and scripts. Perform data cleaning, transformation, and analysis using Pandas and NumPy . Design and implement modular, reusable, and testable code following best practices. Collaborate with cross-functional teams to integrate data and software components. Utilize version control tools (Git … list comprehensions, generators, and error handling . Proficiency in managing virtual environments and package dependencies using tools like pip and venv. 2. Data Manipulation & Analysis Hands-on experience with Pandas and NumPy (knowledge of Polars is a plus). Skilled in data cleaning, preprocessing, handling missing values , and performing complex data operations such as grouping, merging, pivoting, and aggregations . More ❯
about clean, maintainable code and capable of building scalable, efficient solutions. Key Responsibilities: Develop, test, and maintain Python-based applications and scripts. Perform data cleaning, transformation, and analysis using Pandas and NumPy . Design and implement modular, reusable, and testable code following best practices. Collaborate with cross-functional teams to integrate data and software components. Utilize version control tools (Git … list comprehensions, generators, and error handling . Proficiency in managing virtual environments and package dependencies using tools like pip and venv. 2. Data Manipulation & Analysis Hands-on experience with Pandas and NumPy (knowledge of Polars is a plus). Skilled in data cleaning, preprocessing, handling missing values , and performing complex data operations such as grouping, merging, pivoting, and aggregations . More ❯
