complex datasets. Desirable Experience & Skills Practical knowledge of data engineering practices (designing and building robust data pipelines) Knowledge of python and core libraries applicable to data science (e.g., pandas, numpy, statsmodel More ❯
this world leading Energy Trading company. The role would be part of a long term Strategic IT project, with ongoing contract extensions. Core Technical Skills Programming: Python Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral More ❯
this world leading Energy Trading company. The role would be part of a long term Strategic IT project, with ongoing contract extensions. Core Technical Skills Programming: Python Data Handling: NumPy, Pandas, SQL Version Control: Git/GitHub System Integration & Deployment Model Deployment: Flask, FastAPI, MLflow Model Serving: Triton Inference Server, Hugging Face Inference Endpoints API Integration: OpenAI, Anthropic, Cohere, Mistral More ❯
them with reliable datasets and dashboards. Key Skills & Experience (Must-Have) Strong hands-on experience with Python programming (functions, classes, OOP, error handling). Practical experience with Pandas and NumPy for data processing. Good understanding of SQL and working with relational databases. Experience using Git for version control. Basic understanding of writing unit tests and maintaining code quality. Good to More ❯
them with reliable datasets and dashboards. Key Skills & Experience (Must-Have) Strong hands-on experience with Python programming (functions, classes, OOP, error handling). Practical experience with Pandas and NumPy for data processing. Good understanding of SQL and working with relational databases. Experience using Git for version control. Basic understanding of writing unit tests and maintaining code quality. Good to More ❯
secure, deployable AI solutions Key Skills & Experience Required Senior-level experience in data science or a quantitative field Proficient programming skills (Python preferred); familiarity with core data science libraries (NumPy, Pandas, Scikit-Learn) Experience with deep learning tools (e.g. PyTorch, TensorFlow, or similar) Strong mathematical/statistical background Familiarity with a wide range of data science methods (e.g. ML, NLP More ❯
deliver measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. More ❯
deliver measurable business outcomes. What You’ll Bring 🔥Deep knowledge of ML/statistical methods (e.g. supervised/unsupervised, Bayesian, time-series). ⚙️Strong Python skills with core libraries (NumPy, Pandas, Scikit-Learn) plus deep learning frameworks (PyTorch, TensorFlow). 🚀Strong leadership in project delivery, architecture, and technical decision-making. 💡Excellent communicator, able to simplify complex ideas for any audience. More ❯
and peer reviews. Continuously evolve the distributed software stack, improving performance and reliability across platforms. What You’ll Bring Strong proficiency in Python , including modern data engineering libraries (Pandas, NumPy, Dask, Polars, PySpark). Experience designing or maintaining distributed systems or microservice architectures . Background as a software engineer or data engineer — experience in energy markets is a significant advantage More ❯
deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated More ❯
deadline. Experience in Deep Learning and DL frameworks such as Tensorflow/Pytroch Deploying ML models Good command of Python and use of libraries for data science – scikit-learn, NumPy, matplotlib Relation database experience with data manipulation skills in SQL and large “Big Data” environments. Command knowledge in Python and API Development Excellent grasp of software Engineering practices – Object Orientated More ❯
results Providing relevant insights Advanced statistical and analytical techniques and concepts sampling methods, Regression Properties of distributions Weighting sample-based data Statistical tests proper usage Real-world applications. Python - NumPy, SciPy, Pandas, MLlib, scikit-learn, and other common data and machine learning related libraries Working knowledge of SQL, data structures and databases (Snowflake - desirable) This is a pragmatic and humble More ❯
in system release cycles, post-trade analysis, and incident reviews to drive continuous improvement and operational resilience. Required Skills & Experience Strong Python skills, including scripting and data analysis (Pandas, NumPy). Advanced SQL experience (PostgreSQL or similar) working with large, real-time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency or More ❯
in system release cycles, post-trade analysis, and incident reviews to drive continuous improvement and operational resilience. Required Skills & Experience Strong Python skills, including scripting and data analysis (Pandas, NumPy). Advanced SQL experience (PostgreSQL or similar) working with large, real-time datasets. Proven Linux system administration experience, including shell scripting, process monitoring, and performance optimization in low-latency or More ❯
Strong understanding of OOP principles, functions, classes, list comprehensions, generators, and exception handling. Experience managing virtual environments and dependencies using pip or venv. Data Manipulation & Analysis: Proficiency with Pandas , NumPy (and optionally Polars). Strong data cleaning, transformation, grouping, merging, and aggregation skills. Experience with SQL for data querying. Software Engineering Best Practices: Experience with Git for version control. Writing More ❯
retail, or distribution environment. High proficiency in SQL and Excel for data extraction and manipulation. Experience using Power BI or Tableau for dashboards and visualisation. Familiarity with Python (pandas, numpy) for advanced analytics and automation. Commercially focused mindset with the ability to connect data to business impact. Confident communicator who can explain complex insights to non-technical audiences. Experience working More ❯
Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding More ❯
Build scalable data pipelines and APIs Ideal Candidate Will Have: Previous experience as a Data Scientist or Data Engineer Strong command of Python (including libraries such as scikit-learn, NumPy, matplotlib) Experience in deep learning frameworks such as TensorFlow or PyTorch Knowledge of SQL and relational databases; experience with Big Data environments Familiarity with API development and NoSQL databases Understanding More ❯
scalable machine learning models and training workflows using PyTorch or TensorFlow. Develop and maintain end-to-end ML pipelines, from data preprocessing to model deployment. Leverage the Python ecosystem (NumPy, pandas, scikit-learn, spaCy, NLTK, Hugging Face Transformers) for feature engineering, model development, and evaluation. Manage and track machine learning experiments using MLflow, ensuring reproducibility, versioning, and lifecycle management. Collaborate More ❯
processes. What skills should I have? As our Data Scientist you will have: At least 2 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/CD) Familiar with More ❯
What skills should I have? As our Senior Data Scientist you will have: At least 4 years experience in Statistics and Machine Learning Experience with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) At least 3 years Python programming experience Experience applying models to Big Data Familiar with the principles of Continuous Integration and Deployment (CI/CD) Familiar with More ❯
London, England, United Kingdom Hybrid/Remote Options
Harnham
initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge of pricing More ❯
London, South East, England, United Kingdom Hybrid/Remote Options
Harnham - Data & Analytics Recruitment
initiatives, including price, volume, and mix analysis and margin optimisation . Tech Environment Core Skills: SQL (essential), Power BI (advantageous) Platform: Microsoft Fabric (mid-implementation) Languages: Python (pandas/numpy - desirable, not essential) Other: Salesforce & Google Analytics exposure beneficial About You Proven experience as an Insight Analyst , ideally in wholesale, distribution, or another product-heavy industry. Strong knowledge of pricing More ❯
