trading dynamics, and market microstructure. Proficiency in programming languages such as Python, R, or C++, with experience in quantitative libraries and tools (e.g., NumPy, pandas, TensorFlow). Experience with data analysis, statistical modeling, and machine learning techniques applied to financial data. Knowledge of trading platforms, order execution systems, and electronic more »
Influencer Marketing Awards 2022: “Industry Choice of SaaS or Technology” and “Best Influencer Marketing Technology” OUR DATA STACK: Our main technologies are: Python (ScikitLearn, Pandas, Numpy, Scipy) PostgreSQL Google Cloud KEY REMIT: Your responsibilities will fall across two areas: Creating algorithms and using existing technology to generate reports and insight more »
analysis within an e-commerce or online business context. Commercially minded, thinking about ways to increase revenue & profitability. Proficiency in data manipulation tools (Python, Pandas, Spark, SQL) and data visualization tools (Apache Superset, Tableau, Power BI, ggplot2) and MS Excel. Grasp of pricing strategies, market dynamics, and consumer behaviour in more »
working with large and complex data sets to extract insights and identify trends Advanced programming skills with Python, including experience with Jupyter notebooks, PyTest, Pandas, SciKit, PyTorch, type-checking, functional programming, CI/CD, and Git A borad background in machine learning for customer and marketing purposes around pricing, promotions more »
degree in Computer Science, Mathematics, Statistics, Business Administration, or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machine learning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and more »
City of London, London, United Kingdom Hybrid / WFH Options
Adecco
planning by defining and owning the machine learning backlog as well as providing estimates for your work. Minimum Criteria Solid programming experience in Python (Pandas), SQL, NoSQL - TDD Previous experience in building large scale data transformation from structured, un-structured and streaming data sources using Python, SQL Experience in any more »
Mathematics, Statistics, or a related field, with a strong academic track record Exceptional problem-solving and analytical abilities Proficiency in Python, particularly with the pandas library Strong communication and collaboration skills A proactive attitude towards learning and development Desirable: Experience with SQL for data manipulation Familiarity with time series modeling more »
Bedford, Bedfordshire, United Kingdom Hybrid / WFH Options
Understanding Recruitment
CD pipelines alongside architecting and managing cloud infrastructure using TerraformWe'd love to see these skills from you:Proficiency in PythonStrong NLP experience - NumPy, Pandas etc.Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelinesExpertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.)MLOps experienceNice to have more »
Bristol, England, United Kingdom Hybrid / WFH Options
Adecco
collaboration, and continuous improvement. Apply today and take the next step in your data science career! KEYWORDS: Python/Cyber Reinsurance/Distribution/Pandas/DataBricks/Quantitative Risk Modelling/Monte Carlo/Copular/Probabalistic/Marginal Modeling more »
. Database querying, load, update, and transformation using SQL . Substantial experience with using Python to analyse data using standard analytical libraries such as Pandas and, ideally, with building web apps using Flask . Experience with modern data visualisation platforms , ideally Tableau. Track record of continuous learning and innovative thinking. more »
and MSCI Significant experience with building robust data-oriented solutions in Python, including web apps Experience with modern data tools, ideally Tableau, Jupyter Notebooks, Pandas and Python visualisation libraries Exposure to machine learning approaches such as neural networks, NLP, generative AI desirable Experience working at an investment management company Experience more »
years of professional experience as a python software engineer, preferably in the biotech or healthcare industry- Proficiency in broader Python ecosystem Django, NumPy, pandas, scikit-learn, TensorFlow, PyTorch, etc.- Experience in machine learning, data science, and data visualization, using tools such as Jupyter, matplotlib, seaborn, plotly, etc.- Knowledge of web more »
with data in Excel or in a database such as MySQL. Working Python experience, including a strong understanding of common libraries such as numpy, pandas, and scipy. Comfort with Linux and command line tools is essential. Meticulous attention to detail to ensure that all aspects of our data are correct. more »
Oxfordshire, England, United Kingdom Hybrid / WFH Options
ARCA
to collaborate with industry-leading experts. What You’ll Be Doing Developing and implementing optimisation models using Python. Utilising libraries such as NumPy, SciPy, Pandas, and specialised optimisation libraries like Gurobi. Applying mathematical optimisation techniques to solve complex problems. Formulating and solving Mixed Integer Programming (MIP) and Linear Programming (LP more »
Requirements: Minimum of 5 years of hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills more »
in machine learning, computer science or related field. Proven track record of peer-reviewed publications. Strong programming skills and experience working with Python and Pandas, Numpy, scikit-learn or other standard ML and deep learning libraries Familiar with commonly used machine learning algorithms and experience in using at least one more »
series and ensemble models. Experience in manipulating and interpreting data from disparate sources. Proficient in Python coding and core data science libraries, such as Pandas, TensorFlow, Scikit-learn etc. Experience with Cloud Computing (AWS, GCP, Azure) - Ideally in AWS. Creativity and innovative thinking to explore diverse data sources for improved more »
Python Engineer (APIs,Pandas, NumPy) Innovative tech firm. REMOTE, £40k plus bonus. I'm proud to be working exclusively with a growing technology business who are truly a force to be reckoned with, within their chosen industry. They're looking for a true Python Enthusiast to join their tech team more »
Stoke-on-Trent, Staffordshire, United Kingdom Hybrid / WFH Options
Akkodis
Python Engineer (APIs,Pandas, NumPy) Innovative tech firm. REMOTE, £40k plus bonus. I'm proud to be working exclusively with a growing technology business who are truly a force to be reckoned with, within their chosen industry. They're looking for a true Python Enthusiast to join their tech team more »
Nottingham, Nottinghamshire, East Midlands, United Kingdom
Experian Ltd
Lambda, Redshift, DynamoDB, Glue and SageMaker Infrastructure-as-Code tools and approaches (we use the AWS CDK with CloudFormation) Data processing frameworks such as pandas, Spark and PySpark Machine learning concepts like model training, model registry, model deployment and monitoring Development and CI/CD tools (we use GitHub, CodePipeline more »
Greater London, England, United Kingdom Hybrid / WFH Options
Elliott Wood
UK Engineering firm as a structural or civil engineer You have experience developing applications with Python and an understanding of tools such as Numpy, Pandas, Jinja and PyNiteFEA You have experience of connecting to APIs for commonly used industry software products from providers such as Autodesk, Tekla, CSI or Sofistik. more »