1 to 25 of 103 Permanent R Jobs with Hybrid or WFH Options

analysis techniques and statistical methodologies such as regression analysis, cluster analysis, factor analysis/principal component analysis, experimental designs using statistical software (Python or R) Create project plans to manage expectations and deadlines for successful delivery Management of data collection/processing Communicate complex analytical results and their corresponding implications … best practice in marketing attribution (e.g. MMM, MTA) and consumer journey Excellent knowledge Microsoft Office suite of applications Ability to work with Python or R Additional Information Publicis Groupe operates a hybrid working pattern with employees being office-based on Mondays and two other days during the working week. If more »

to define needs and build data solutions to ensure a competitive advantage Collect and analyse datasets Leverage prior experience in the use of SQL, R, Python and data visualization tools Bring your understanding of the role of (insurance) risk underwriting, and develop data models to enhance the value of risk more »

strategic decision making across the business Ownership and influence of departmental budgets Essential Background: Strong data analytics skills using tools such as SQL, Python, R, Tableau, Power Bi Experience partnering senior stakeholders Excellent collaborative working skills Strong communicator What's in it for you? Competitive Salary Hybrid working An opportunity more »

data science and/or statistical analyses with experience of building advanced models. Experience of coding languages used in the data science field (e.g. R, Python, SQL). Experience of working with product development teams LexisNexis Risk Solutions is an equal opportunity employer, and all qualified applicants will receive consideration more »

personal lines insurance experience to join their business: 3+ years of personal lines pricing experience Good knowledge of Emblem/Radar needed Python/R skills are desireable Home Insurance experience desireable. but not essential Ability to work for a great business with the opportunity for upwards trajectory internally within more »

important that you fit right in. Ask yourself, do they descr i be you? G rowth Mindset - We fulfil our personal and professional potential R esourceful - We find a way to ge t it done A ccountable - We do wh a t we say F actual - We tell it like more »

marketing channel analysis, ROI etc. YOUR SKILLS AND EXPERIENCE A successful Customer Analyst will have: Advanced experience of SQL, Tableau/Power BI and R or Python. Commercial experience carrying out statistical analysis and predictive modelling. Highly numerate with a strong commercial acumen. Educated to a degree level in a more »

related scientific field with proven experience in applying statistical methods in biomedical research, Pharma, CRO, Academia or Healthcare industry. • Good skills in SAS and R required. more »

Basic understanding/knowledge of matching adjustments. Technically strong with regard to modelling - model development and maintenance. Strong programming skills for data analysis - e.g. R, VBA, Python, MATLAB, etc. Quantitative background with good problem-solving skills and attention-to-detail. FIA or CFA qualification. If you have a FIA/ more »

+ great benefits! Requirements: Experience in designing, implementing, and deploying AI solutions Team leading and project management experience Extensive experience with Python, JavaScript or R Hands-on work with AI-related tools such as Tensorflow, PyTorch, LangChain or LlamaIndex Stakeholder management and ability to communicate with non-technical stakeholders regarding more »

modelling Attribution modelling Multivariate model developments Geographical analytics Text mining and content analytics Conjoint analysis Machine learning processes Data manipulation language; such as Python, R or similar Experience using website analytics packages (i.e. GA) Familiar with digital tracking technologies (ad servers, DSPs, DMPs) Experience with big data (e.g. cookie logs more »

related field. Strong numerical proficiency and a detail-oriented approach to problem-solving. Expertise in Excel & SQL, with a bonus for experience in Python, R, or statistical modeling tools. Why Join Us: Four-day work week with no reduction in salary. Flexible hours and the option to work remotely multiple more »

successful candidate might have Experience of B2B data feeds and analysis Previous experience in SQL Server or another RDBMS Experience in predictive modelling using R or Python Familiarity with other programming language, eg .NET languages What’s in it for you? The opportunity to develop your career in analytics, with more »

stakeholders are crucial for success in this role. Experience with data analysis tools and programming languages such as Looker, Power BI, Tableau, Python or R is highly preferred. This role is fully remote but we can only offer an employment contract if your residence is in the UK. Responsibilities Analyse … Proven experience in data analysis or a related role Proficiency in SQL and data querying Experience with data analysis and visualisation tools (e.g., Python, R, Tableau, Looker ideally) Strong analytical and problem-solving skills Attention to detail and the ability to work with large datasets Strong written and verbal communication more »

with relevant experience in the insurance industry. Strong analytical and problem-solving skills, with proficiency in statistical modelling and data analysis tools (eg, SAS, R, Python). Solid understanding of insurance principles and pricing techniques. Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams. more »

Job Description The Lead Data Client Solutions Specialist's primary goal is to provide an innovative approach toward account management. Responsibilities include peer development, coaching, and mentoring to facilitate associate growth, with the goal of ensuring the Data Client Solutions more »

Job Description The Lead Data Client Solutions Specialist's primary goal is to provide an innovative approach toward account management. Responsibilities include peer development, coaching, and mentoring to facilitate associate growth, with the goal of ensuring the Data Client Solutions more »

Job Description The Lead Data Client Solutions Specialist's primary goal is to provide an innovative approach toward account management. Responsibilities include peer development, coaching, and mentoring to facilitate associate growth, with the goal of ensuring the Data Client Solutions more »

validating statistical, physical, machine learning, and other advanced analytics models. 6 years of experience in one or more dynamic scripted language (such as Python, R, etc.) with a focus on writing code that is easy to follow, well documented, and commented where necessary to explain logic (high code transparency). more »

has an excellent track record of developing therapeutics.They are going into their next phase of growth and are looking to further build up their R&D teams within chemistry and biology with the addition of an experienced computational chemist to focus on leading early drug discovery projects.This is a full … with computational chemistry techniques such as conformational analysis, free energy calculations, homology modelling, etc Good programming skills in a language such as Python, C++, R, Java or similar Knowledge of Cloud computing, with experience of containerisation/Docker an advantage The ability to work with external CROs or other research … chemistry, modelling, hit, lead, structure, ligand, homology, quantum, QMMM, molecular, dynamics, protein, degradation, data, manager, computer, science, drug, discovery, biotech, pharma, lab, pharmaceutical, python, R, senior, lead, R&D, research, preclinical more »

analytics and mining web logs advantageous Knowledge of Business Intelligence strategies Skills Proficiency in data analysis tools and programming languages such as SQL, Python, R, or SAS. Experience with data visualization tools, particularly Power BI Strong and demonstrable experience in T-SQL Data integration tech stack experience with MS SSIS more »

with extensive relevant post-qualification experience. Confident in use of Pricing & Actuarial software such as Emblem and Radar Experience using tools such as Python, R, SQL, SAS,, Excel, VBA Strong business acumen What can we offer you We believe you should be well rewarded for the passion and enthusiasm you more »

experience in a data analysis reporting role - Significant experience writing SSRS reports and PowerBI - Understanding of industry standard technology eg. Tabeau, Power BI, Excel, R, Python, Air Flow, Spark - Experience and knowledge of creating and managing Dashboards - Demonstrate effective organisational skills and the ability to implement new systems of working more »

Proven experience in leading a data science team and managing complex projects. Expertise in machine learning, statistics, data management, and relevant technologies (e.g., Python, R, SQL, AWS SageMaker, Apache Airflow, Dbt, AWS Kinesis). Strong communication skills with the ability to explain complex data concepts to a non-technical audience. more »

with extensive relevant post-qualification experience. Confident in understanding of Pricing & Actuarial software such as Emblem and Radar Experience using tools such as Python, R, SQL, SAS,, Excel, VBA Strong business acumen What we will offer you Recognised and rewarded for a job well done, we have a range of more »