1 to 25 of 128 R Jobs in the East of England

focus on GA4, Google BigQuery, SQL, and statistical analysis. Strong proficiency in data visualization tools such as Tableau or Power BI. Experience with programming languages such as Python or R for data analysis and manipulation. Excellent problem-solving skills and the ability to work independently as well as part of a collaborative team. Strong communication skills with the ability to More ❯

network, pathways, etc. Proven track record of completed scientific projects as evidenced by publications and preprints. Strong breadth and expertise in Statistical analysis, machine learning, data visualization, programming (Python, R, etc.), data cleaning and data manipulation. Tools: Python, R, SQL, TensorFlow, Scikit-learn, Tableau, Power BI. Ability to generate high quality ideas and be self-driven to explore. Strong experience … in programming and comfortable modifying existing code-base. Experience with Python, R data cleaning and data manipulation or other related scientific languages. Willing to work in a collaborative environment and share periodic updates across the company. Preferred Qualifications - Strong and demonstrable experience working in an AWS compute environment is a major advantage. Experience integrating prior knowledge from public databases (e.g. More ❯

quantitative field (e.g., Statistics, Data Science, Mathematics, Economics, Engineering, or Computer Science). A proven track record in consumer products, digital media, or entertainment industries. Proficiency in SQL, SAS, R, Python, or other programming languages for querying and analyzing data. Hands-on expertise with visualization tools such as Tableau or Looker. A proactive approach to problem-solving, with a bias More ❯

large-scale data integration and analytics projects Experience with cloud platforms (e.g. Azure, MS Fabric, AWS), modern data tools (e.g. Power BI, Snowflake, Kubernetes, Docker), programming languages (e.g. Python, R, SQL) Extensive experience in stakeholder management and partnership working across health and local government to deliver service improvements and change Experience in Strategic and organisational business planning processes, writing and More ❯

digital marketing channels, including PPC, SEO, social media, email campaigns, and conversion rate optimization. Technical Proficiency: Familiarity with tag management systems (e.g., Google Tag Manager), SQL, and Python or R for advanced data analysis is highly preferred. Problem-solving and Communication: Exceptional ability to interpret complex data, present insights clearly to non-technical stakeholders, and recommend data-driven solutions. Join More ❯

Director, Business Administration & Excellence CNPF (Europe)-R-252149 Join to apply for the Director, Business Administration & Excellence CNPF (Europe)-R-252149 role at Mastercard Continue with Google Continue with Google Director, Business Administration & Excellence CNPF (Europe)-R-252149 2 days ago Be among the first 25 applicants Join to apply for the Director, Business Administration & Excellence CNPF (Europe)-R … oriented, and solution-driven approach MBA with degree in Economics or Engineering Proficient in Excel and power point; knowledge of Data analytics tools and coding is plus (Alteryx, Python, R, SQL, Power BI, Tableau) Strong sense of urgency, comfortable operating in a fast paced and changing environment Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks … confidentiality and integrity of the information being accessed; Report any suspected information security violation or breach, and Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines. R-252149 Seniority level Seniority level Director Employment type Employment type Full-time Job function Job function Project Management and Information Technology Industries Financial Services, IT Services and IT Consulting, and More ❯

Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. … appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx More ❯

Clinical Trials, Medical Devices, Pre-Clinical, Omics, Real World Data) utilizing the AWS technology platform. Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services and other tools. Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift. Build and maintain standard data models. … appropriate solutions in a global working model. Maintain compliance with data privacy regulations such as HIPAA, GDPR May be required to develop, deliver or support data literacy training across R&D. Required Knowledge, Skills and Abilities Expert knowledge of data engineering tools such as Python, R and SQL for data processing. Expert proficiency with AWS services particularly S3, Redshift, FSx More ❯

techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis More ❯

product direction. BASIC QUALIFICATIONS 2+ years of data scientist experience and 3+ years of data querying languages (e.g., SQL), scripting languages (e.g., Python), or statistical/mathematical software (e.g., R, SAS, Matlab, etc.) experience. 3+ years of machine learning/statistical modeling data analysis tools and techniques experience. Experience applying theoretical models in an applied environment. Bachelor's degree in More ❯

HA) and Disaster Recovery (DR) options for SQL Server (E) Working Understanding of SQL Server Integrated Services and SQL Server Agent Jobs (E). Knowledge of additional programming language (R, Python etc) (D) Knowledge of cloud based data warehouses (D) Skills: Ability to demonstrate excellent attention to detail. Logical decision making and a hands-on approach. Desire to expand skills. More ❯

a strategic roadmap across analytics, automation, and change. Solid knowledge of data analytics, people metrics, and experience using technology, platforms, and tools (e.g., SuccessFactors, Power BI, Tableau, Python/R, SQL). Familiarity with AI/ML techniques and how they can be applied to improve people processes and decision-making. Knowledge of responsible AI, data ethics, or regulatory frameworks More ❯

techniques, including LLMs, GenAI, and automated AI systems. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch) and data science libraries (e.g., NumPy, pandas, scikit-learn). Proficiency in Python, R, or other relevant programming languages. Proficiency in working with large datasets, data wrangling, and data preprocessing. Experience in data science, statistical modelling, and data analytics techniques. Experience with data analysis More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

management and analytical skills, especially with large datasets. Good understanding of Office365 tools (Excel, PowerPoint, Word, SharePoint, Teams). Knowledge of model-driven apps and JavaScript. Proficiency in SQL, R, Python, GIS, statistics, or databases. Understanding of cloud services like Azure or AWS. Why SZC? Contribute to a major UK infrastructure project, shaping the future of energy in a supportive More ❯

data engineering and analytics following Agile DevSecOps methodologies. Experience Requirements: Strong analytical skills, including statistical analysis, data visualization, and machine learning techniques. Proficiency in programming languages such as Python, R, and Java. Experience in building modern data pipelines and ETL processes with tools like Apache Kafka and Apache Nifi. Proficiency in Java, Scala, or Python programming. Experience managing or testing More ❯

and Teams. Experience with data warehousing, process automation, and machine learning tools and techniques. Familiarity with model-driven apps and related technologies (e.g. JavaScript). Knowledge of SQL, Python, R, GIS packages, statistics, and cloud platforms such as Azure or AWS. Strong written and verbal communication skills, with a highly collaborative, customer-focused approach. Quick learner with the ability to More ❯

Document AI/ML workflows, pipelines, and decisions. Lead and mentor junior team members. Essential Skills: 5+ years in AI/ML and data science development. Proficient in Python, R, and relevant ML frameworks/libraries (e.g., TensorFlow, PyTorch, scikit-learn). Strong grasp of LLMs, GenAI, and AI system architectures. Experienced with large-scale datasets and preprocessing pipelines. Skilled More ❯

at each process within data science, problem definition, data acquisition & wrangling, modelling, feature engineering and deployment. What's equally relevant is programming knowledge and a gift for coding using: R, Python, SQL, or Spark. You'll also need the capability to deliver projects, collaborate with operational teams and be able to explain technical concepts to non-specialists. What you'll More ❯

of hands-on experience in big data, machine learning and predictive modeling - 3+ year people management and cross department functional experience - Knowledge of a statistical analysis package such as R, Tableau, and high-level programming language (E.g. Python) used in the context of data analysis and statistical model building - Strongly motivated by entrepreneurial projects and experienced in collaboratively working with More ❯

Data Management, Data Mining, Data Quality, Data Visualization, Deep Learning, Graph Algorithms, High-Performance Computing, Logistic Regression Model, Machine Learning (Ml), Master Data Management, Pandas (Python), Python (Programming Language), R (Programming Language), Random Forest Algorithm, Sql (Structured Query Language), Statistical Modeling, Time Series Analysis More ❯

the machine learning models Collaborate with Technical Pricing Team to identify business problems and recommend solutions Adapt working with our current tools and developments that are mainly based on R and Python Collaborate with our data scientists in the maintenance of the existing tools and platforms Work with other data scientists Skills, Experience And Knowledge Programing skills in Python or … R (or both) and their relevant data science and statistics libraries Knowledge on data manipulations, machine learning, advanced analytics, and statistical techniques Ability in communicating with the team members and written and verbal presentation skills Ability to engage in teamwork and to collaborate with the team to produce the best outputs Degree qualification in relevant discipline e.g., mathematics, computer science More ❯

of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. • Experience using statistical software and programming using R, SQL, Python or similar in datasets. • Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration. More ❯

of statistics (probability distributions, sampling, hypothesis testing, regression) and some practical experience in applying some of these concepts in real-life problems. • Experience using statistical software and programming using R, SQL, Python or similar in datasets. • Excellent communication skills to be able to understand business needs of cross-functional stakeholders, deliver findings and recommendations, as well as to drive collaboration. More ❯

statistics, machine learning, data science, computer science or bioinformatics. Expertise in statistics, experimental design, and their application across a range of biological data. Confident coding in either python or R for data science and statistics. Experience communicating findings to non-experts. Proficiency with data visualisation tools and libraries (matplotlib, seaborn, ggplot etc). Experience with git version control, preferably with More ❯