376 to 400 of 737 R Jobs in the UK

technical and non-technical stakeholders YOUR SKILLS AND EXPERIENCE Strong technical experience in SQL (specifically within Windows Functions), Snowflake, Data Visualisation and Python/R Strong background in advanced analytics, predictive modelling and exploratory analysis Proven expertise in DBT and reporting Strong stakeholder management skills THE BENEFITS Up to More ❯

or sell-side Experience and knowledge of applying machine learning techniques to financial datasets Strong mathematical background Excellent quantitative research and programming skills (Python, R, SQL) Ideally CFA or CQF qualification Excellent team player Strong interpersonal skills, sound judgement, adaptable and pragmatic Ability to build and maintain effect working relationships More ❯

improve existing work or develop new ideas. BASIC QUALIFICATIONS At least 2 years of experience in data analytics or automation. Proficiency in SQL, Python, R, scripting, MS Excel, table joins, and analytical functions. Experience with data mining tools like SQL, SAS, SPSS, or similar. PREFERRED QUALIFICATIONS Knowledge of data pipelining More ❯

preferred but not mandatory Advanced MS Excel skills, including VBA and User Defined Functions Knowledge of insurance pricing models Proficiency in Word and PowerPoint R or Python experience is advantageous but not required Experience in client requirement gathering through meetings and workshops Ability to create specifications and utilize advanced techniques More ❯

A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such as Python, R, C++. Day to Day Delivering efficiency and customer benefits using data science and AI Strategising on the responsible use of data science and AI for More ❯

A/B testing different models Practitioner knowledge of responsible and ethical AI practices Practitioner skills in a scientific programming language such as Python, R, C++. Day to Day Delivering efficiency and customer benefits using data science and AI Strategising on the responsible use of data science and AI for More ❯

recent experience in management and leadership of Data Science, AI and/or ML teams You'll have a background in working with Python, R, SQL, and Machine Learning tools Proven success in managing end-to-end AI projects Excellent communicator and be passionate about mentoring, coaching and leading teams More ❯

recent experience in management and leadership of Data Science, AI and/or ML teams You'll have a background in working with Python, R, SQL, and Machine Learning tools Proven success in managing end-to-end AI projects Excellent communicator and be passionate about mentoring, coaching and leading teams More ❯

recent experience in management and leadership of Data Science, AI and/or ML teams You'll have a background in working with Python, R, SQL, and Machine Learning tools Proven success in managing end-to-end AI projects Excellent communicator and be passionate about mentoring, coaching and leading teams More ❯

experience in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills More ❯

recent experience in management and leadership of Data Science, AI and/or ML teams You'll have a background in working with Python, R, SQL, and Machine Learning tools Proven success in managing end-to-end AI projects Excellent communicator and be passionate about mentoring, coaching and leading teams More ❯

recent experience in management and leadership of Data Science, AI and/or ML teams You'll have a background in working with Python, R, SQL, and Machine Learning tools Proven success in managing end-to-end AI projects Excellent communicator and be passionate about mentoring, coaching and leading teams More ❯

experience in digital advertising measurement (agency, platform, or brand side) 🔹 Strong understanding of ad effectiveness methodologies (reach, frequency, brand lift, sales lift) 🔹 Proficiency in R, SQL, or Python for data analysis 🔹 Expertise in statistical analysis and campaign study design 🔹 Excellent project management skills and attention to detail 🔹 Strong communication skills More ❯

as MySQL, NoSQL and Postgres Data Analysis Data modelling Data Warehousing PowerBI and Tableau Having knowledge or experience with development technologies such as Python, R, JavaScript and cloud services would be highly desirable. Working with the wider team, you will also be responsible for establishing and maintain Data governance standards More ❯

as MySQL, NoSQL and Postgres Data Analysis Data modelling Data Warehousing PowerBI and Tableau Having knowledge or experience with development technologies such as Python, R, JavaScript and cloud services would be highly desirable. Working with the wider team, you will also be responsible for establishing and maintain Data governance standards More ❯

clients and internal teams. Tech: While they use a range of technologies internally, familiarity with open-source tools is highly valued. Languages & Libraries: Python, R, Pandas, NumPy, scikit-learn, XGBoost, LightGBM, statsmodels NLP & ML Frameworks: spaCy, Hugging Face Transformers, TensorFlow or PyTorch (where applicable) Data Engineering & Pipelines: dbt, Airflow, SQL More ❯

Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques 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. Amazon is an equal opportunities More ❯

a moderate or advanced level. Experience with data mining tools like SQL, SAS, SPSS, or similar. PREFERRED QUALIFICATIONS Knowledge of SQL/Python/R, scripting, MS Excel, table joins, and aggregate analytical functions. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have More ❯

Experience in building machine learning models for business application Experience in Computer Vision modelling and techniques 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. Amazon is an equal opportunities More ❯

scale data in multi-method studies. Experience in survey design, including structure, length, logic, question types, best practices, and response effects. Experience coding with R, SQL, STATA, SPSS or equivalent. Experience with both descriptive and inferential statistics. Demonstrated impact resulting from the translation of influential narratives with consideration to business More ❯

risk analytics and pricing models Must have strong quantitative background and data analysis experience Previous experience using tools such as SQL, VBA, Python or R for data analysis and modeling; programming background helpful Must be proactive and able to work independently Must have excellent written and verbal communications skills Sound More ❯

packages including Excel or PowerBI is desirable. A logical mindset and good problem-solving capabilities. Database Querying and/or development skills (e.g. SQL, R, Python, VBA, PowerBI) would be desirable. Understanding of principles of insurance and reinsurance is desirable. Essential to be able to maintain a conscientious, positive and More ❯

Computational Biology, Biostatistics, or a related discipline, with 3+ years of relevant postdoctoral or industry experience. Solid programming experience in Python and/or R, along with familiarity with cloud computing (e.g., AWS or GCP), containerization tools like Docker, and workflow managers such as Nextflow or Snakemake. Strong grounding in More ❯

Computational Biology, Biostatistics, or a related discipline, with 3+ years of relevant postdoctoral or industry experience. Solid programming experience in Python and/or R, along with familiarity with cloud computing (e.g., AWS or GCP), containerization tools like Docker, and workflow managers such as Nextflow or Snakemake. Strong grounding in More ❯

merging, cleaning, and weighting. Ideal candidate will also have worked with publicly available datasets (e.g., census or other ONS data). Strong proficiency in R or Python for data analysis and data visualisation. Nice to have The ideal candidate has experience in using both frequentist and Bayesian approaches. Understanding of More ❯