with exposure to Natural Gas and Power markets, balancing mechanisms, and regulatory frameworks (e.g., REMIT, EMIR). Expert in Python and SQL; strong experience with data engineering libraries (e.g., Pandas, PySpark, Dask). Deep knowledge of ETL/ELT frameworks and orchestration tools (e.g., Airflow, Azure Data Factory, Dagster). Proficient in cloud platforms (preferably Azure) and services such as More ❯
people from other fields Ability to manage (line and/or project manage) the work of junior team members MSc/PhD Degree in STEM subject Fluent in Python (Pandas, Numpy, Sci-Kit) and/or other relevant languages Please note: We are not seeking new agency relationships at this time. Our core team is based in London. Interviews for More ❯
techniques, for example: supervised/unsupervised machine learning, model cross-validation, Bayesian inference, and time-series analysis An excellent proficiency of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch) Demonstrable experience enabling impactful change with AI within a financial services institution. Coupling that with prior experience in More ❯
keen to engage in the design processes this involves. Specifically: • You can write Python to a high standard and are familiar with the standard data science libraries such as pandas, scikit-learn and networkx. • You are capable of developing new algorithms in novel situations and can demonstrate previous work to evidence this. • You are keen to understand the data we More ❯
analytics and hands-on experience and solid understanding of machine learning and deep learning methodsExtensive 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 goalsExperience with big data and scalable model training More ❯
working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Kantar Media
working in a collaborative, face-to-face, and iterative development environment. Skills & Experience Strong foundation in applied mathematics, statistics, or machine learning. Experience building and deploying models in Python (pandas, NumPy, scikit-learn, etc.). Comfort working with large and complex datasets, including data wrangling and exploratory analysis. Experience (or strong interest) in GPU-powered model development (e.g. using PyTorch More ❯
Masters, PhD, or equivalent in Operations Research, Data Science, Mathematics, Statistics, Computer Science, Physics, or related technical fieldpreferred A professional with 5+ years experience with Python. Knowledge of NumPy, Pandas, Scikit-learn, and Networkx is an extra bonus! Experienced working directly with external customers (ideally in a consulting role) to identifyrequirements and consult on solutions to complex business problems Experienced More ❯
fast-changing environment with high ownership 💡 What We’re Looking For: A strong generalist data scientist with a proven track record in fast-paced environments Fluent in Python (e.g. pandas, scikit-learn) and SQL; comfortable with basic data infrastructure Experience with optimisation, clustering, or operations research a big plus Able to handle ambiguity, context-switching, and high volumes of data More ❯
fast-changing environment with high ownership 💡 What We’re Looking For: A strong generalist data scientist with a proven track record in fast-paced environments Fluent in Python (e.g. pandas, scikit-learn) and SQL; comfortable with basic data infrastructure Experience with optimisation, clustering, or operations research a big plus Able to handle ambiguity, context-switching, and high volumes of data More ❯
years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯
years’ experience in a Data Science, AI, or ML-related role Experience with forecasting, propensity and segmentation Strong Python skills and experience with libraries like scikit-learn, pandas, and Prophet Hands-on experience developing and deploying ML models in production A track record of working across the full ML lifecycle in a fast-paced environment Excellent communication and storytelling skills More ❯
degree in Computer Science, Mathematics or a similar quantitative discipline Have leadership experience either through previous management or mentorship Are proficient with Python, including open-source data libraries (e.g Pandas, Numpy, Scikit learn etc.) Have experience productionising machine learning models Are an expert in at least one of one of : predictive modelling, classification, regression, optimisation or recommendation systems Have experience … Large Language Models (fine tuning, RAG, agents) Experience with graph technology and/or algorithms Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, LightlGBM, Pandas, LangChain/LangGraph TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous More ❯
in industry settings, such as financial forecasting, operations optimisation, or customer segmentation. Comfortable with key ML frameworks (such as Scikit-learn, TensorFlow, PyTorch, Hugging Face) and data manipulation tools (Pandas, NumPy), as well as version control, containerisation, and ML deployment pipelines. Understands how to apply MLOps principles in production environments To be successful in this role you must have hands … applied experience in machine learning and/or data science roles Solid understanding of MLOps and production deployment practices Experience with Python and core ML libraries (e.g., Scikit-learn, Pandas, PyTorch, TensorFlow) Familiarity with cloud platforms and data infrastructure (e.g., AWS/GCP/Azure, SQL, ELT tools) Understanding of ethical frameworks, explainability, and governance in AI Engaging & Adaptable Communication More ❯
tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio … to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration … Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large More ❯
tools, and data pipelines to assist portfolio managers in making informed investment decisions. The ideal candidate will be proficient in Python and have experience working with data structures like Pandas to build scalable and efficient solutions in a fast-paced, dynamic environment. Responsibilities Collaborate closely with equity portfolio managers to understand their needs and develop software solutions to enhance portfolio … to analyze large datasets and derive actionable insights for equity portfolios. Build and maintain data pipelines, ensuring data accuracy, reliability, and scalability. Use Python (and related libraries such as Pandas, NumPy, etc.) to develop and automate tasks, backtest strategies, and optimize performance. Work with portfolio managers to create tools for portfolio construction, risk analysis, and scenario modeling. Ensure seamless integration … Qualifications Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Physics, Finance, or a related field. Strong proficiency in Python, with a deep understanding of libraries like Pandas, NumPy, and others for data manipulation and analysis. Solid understanding of financial markets, particularly equities, and portfolio management concepts. Knowledge of databases (SQL, NoSQL) and experience in working with large More ❯
and multi-process Python apps that consume transactional data, transform, store and visualise data, i.e. exposure to: building multithreaded and multi process python systems using frameworks such as Dask, Pandas, Numpy. building web-based GUI’s using Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines … risk analysts and middle officers to understand and gather requirements Design, development, testing and documenting REQUIRED SKILLS: Python Multi-threading & asynchronous programming Knowledge of commodities/Energy trading Dask, Pandas, Numpy frameworks. Full life cycle development Excellent Communication skills Python web framework (e.g., Flask, Dash) Built RESTful Web APIs More ❯
and multi-process Python apps that consume transactional data, transform, store and visualise data, i.e. exposure to: building multithreaded and multi process python systems using frameworks such as Dask, Pandas, Numpy. building web-based GUI’s using Python frameworks such as Dash building Python based REST servers using frameworks such as Fast API writing Docker files, configuring Gitlab CICD pipelines … risk analysts and middle officers to understand and gather requirements Design, development, testing and documenting REQUIRED SKILLS: Python Multi-threading & asynchronous programming Knowledge of commodities/Energy trading Dask, Pandas, Numpy frameworks. Full life cycle development Excellent Communication skills Python web framework (e.g., Flask, Dash) Built RESTful Web APIs More ❯
