Ability to create and implement both logical and physical data models. Mapping Specifications : Competence in creating detailed mapping specifications. Python : Knowledge of Python, particularly Pandas, for data analysis. Looker Core/LookML : Experience with Looker Core or LookML (not Looker Studio). User Acceptance Testing (UAT) : Proficiency in planning and more »
or more relevant database technologies e.g. Oracle, MongoDB Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns Personal Attributes: Candidates must have more »
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 »
platform tooling for Data Science. Expert in Spark SQL, PySpark, (Python and/or R programming language) which includes experience in libraries such as Pandas, scikit-learn, R (tidyverse, glm, caret etc ), MLFlow, Experimentation, Tracking, Productionizing and proficient in SQL. Three or more years of professional experience in MLOps, Data more »
and productionalize containerized algos for deployment in hybrid cloud environments (GCP, Azure) Connect and blend data from various data sources within enterprise tools (python, pandas, or SQL) to enable application of Data Science methods Create metrics and analytical reports to ensure data quality and business value. Clean, structure and normalize 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 »
to work independantly and comfertable to work within a small friendly team * Have prior coding experience SAS,SQL,Python (Preferred) * Modeling experience using NumPy, Pandas is highly desirable Pay * £40k-£60k per year DOE If you see synergy with your skill set to this role please apply today and we more »
using frameworks such as TensorFlow, PyTorch, or Keras. Proficiency in programming languages such as Python and experience with data manipulation and analysis libraries (e.g., pandas, NumPy, scikit-learn). Solid understanding of quantitative finance concepts, including asset pricing, risk management, and portfolio optimization. Excellent problem-solving skills and the ability 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 »
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 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 »
Python and SQL. Cloud technologies, ideally AWS. Columnar database, ideally Redshift. ETL and related practices. Excellent communication skills. Other technologies such as Kubernetes, Terraform, Pandas, EMR. Must be fully eligible to work in the UK, cannot offer sponsorship. 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 »
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 »
have? As our Senior Data Scientist you will have: least 4 years experience in Statistics and Machine Learning with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) least 3 years Python programming experience applying models to Big Data with the principles of Continuous Integration and Deployment (CI/CD) with more »
have? As our Senior Data Scientist you will have: least 4 years experience in Statistics and Machine Learning with Python Machine Learning libraries (NumPy, Pandas, SKLearn etc) least 3 years Python programming experience applying models to Big Data with the principles of Continuous Integration and Deployment (CI/CD) with more »
