City, Edinburgh, United Kingdom Hybrid / WFH Options
Royal London
Experience leading analytical projects Comprehensive understanding of data lifecycle management and governance Advanced proficiency in data manipulation and visualisation tools including Excel, VBA, Python, R, Power BI and SQL Exceptional analytical and problem-solving skills, with the ability to translate complex data insights into strategic business recommendations Excellent stakeholder management More ❯
for experience in the following skills: Relevant work experience in data science, machine learning, and business analytics. Practical experience in coding languages eg. Python, R, Scala, etc.; (Python preferred). Proficiency in database technologies eg. SQL, ETL, No-SQL, DW, and Big Data technologies e.g. pySpark, Hive, etc. Experienced working More ❯
AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools More ❯
AI. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Proficiency in programming languages such as Python, R, or Java. Strong understanding of mathematics and statistics. Experience with machine learning frameworks like TensorFlow, Keras, or PyTorch. Knowledge of data analysis and visualization tools More ❯
routines utilizing typical data quality functions involving standardization, transformation, rationalization, linking and matching. Good knowledge of Databricks, Snowflake, Azure/AWS/Oracle cloud, R, Python. Additional Information At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and More ❯
data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience More ❯
Hypothesis Testing, Exploratory Data Analysis, Survival Analysis, Cluster Analysis, various Statistical Tests and Cross-Validation Techniques, ML Algorithms. Proficiency in programming languages like Python, R, or MATLAB for quantitative modeling. Soft Skills: Strong analytical and problem-solving skills with attention to detail. Ability to work collaboratively in a fast-paced More ❯
data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information More ❯
data science, including managing, structuring, visualizing, analyzing data, and building statistical or machine learning tools. Fluency in one or more data science programming languages (R, Python with NumPy/pandas etc, Julia) with experience in writing documentation. Excellent written and verbal communication skills including the ability to present technical information More ❯
knowledge of ML techniques (in both a supervised and unsupervised learning context). Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and emerging technology stack for building and orchestrating ML solutions and decision algorithms, such as Databricks. More ❯
machine learning tools. Experience leading a team, coordinating others, and managing several research projects simultaneously. Fluency in one or more data science programming languages (R, Python with NumPy/pandas, etc., Julia) with experience in writing documentation. Excellent written and verbal communication skills, particularly with wider stakeholders and across disciplines. More ❯
into data, model, and decisioning ecosystems. Advanced knowledge of Statistics and ML techniques. Proficient in a range of programming languages (Python and/or R preferable, SQL, C#, Java). Solid grasp of popular and emerging technology stack for building and orchestrating ML solutions. A strong grasp of profit-loss More ❯
in Java, C++, Python or related language Experience with neural deep learning methods and machine learning PREFERRED QUALIFICATIONS Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PhD Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you More ❯
grasp of commodity trends, and you've worked in commodity marketing and trading. You have strong quantitative skills, including familiarity with Excel/VBA, R, and/or Python and their respective data manipulation, statistical modelling, and visualization packages. What's in it for you: You'll be doing work More ❯
based insights and recommendations informed by technical data analysis. Experience working with large datasets and leading insightful analysis. Knowledge of languages such as Python, R, or SQL. Experienced in leading multi-disciplinary teams and working closely with data scientists and software engineers to develop and create tools. Strong communication and More ❯
language - Experience with neural deep learning methods and machine learning - Experience with prompting techniques for LLMs PREFERRED QUALIFICATIONS - Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. - PhD in math/statistics More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
ENGINEERINGUK
to convey complex concepts simply and clearly to clients. Experience within the Wealth Management industry is a plus. Strong programming skills (e.g., Python, SQL, R, Linux) are a plus. BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
abrdn Inc
time left to apply End Date: April 25, 2025 (26 days left to apply) job requisition id R Job Description At aberdeen, our ambition is to be the UK's leading Wealth & Investments group. Strengthening talent and culture is one of our strategic priorities. We strive to make aberdeen a More ❯
with large scale machine learning systems such as profiling and debugging and understanding of system performance and scalability Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc. PREFERRED QUALIFICATIONS Experience with popular deep learning frameworks such as MxNet and Tensor Flow. PhD Amazon More ❯
Edinburgh, Midlothian, Scotland, United Kingdom Hybrid / WFH Options
Robert Walters
Collaborate closely with biologists and software engineers Translate scientific data into practical, user-friendly outputs Key experience needed: Strong background in data science (Python, R, etc.) Experience working with spectral or similar scientific data Familiarity with cloud-based data infrastructure A solid grasp of biology, chemistry, or a related scientific More ❯
time left to apply End Date: April 28, 2025 (4 days left to apply) job requisition id R Job Description Fixed Term Contract (End date: 31st December 2025) aberdeen plc is one of Europe's largest investment companies, and we are built on a long-standing culture of caring about More ❯
City, Edinburgh, United Kingdom Hybrid / WFH Options
Hymans Robertson LLP
Our teams are passionate about technology, work with cutting-edge tech and adopt an agile approach to software development. We are looking for an R Developer with financial modelling experience to help design, build, deliver, and support models & applications serving the pensions market. You will: Work alongside high-performing, highly … scale, in novel market areas. Be core to the product teams that build, test and scale our applications and services. Work closely with our R User and Model Expert Groups to promote best practices. Support less experienced team members with R development. About You To succeed in, and enjoy, this … reliability, security, and scalability. Financial modelling (pensions domain beneficial). Applying coding and technical solutions to complex financial scenarios. End-to-end implementation of R solutions. You will have experience of the following: Strong pensions domain knowledge gained in an actuarial context essential. R Programming (ideally in the context of More ❯
is loaded Full Stack Software Engineer Apply remote type Remote locations Barcelona Edinburgh time type Full time posted on Posted Yesterday job requisition id R-100439 We're UserTesting, a leader in experience research and insights; we believe the path to human understanding and great experiences start with a shared More ❯