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eMinimum:4 - 6 years experience in retail credit analysis (including programming in SQL / SAS / R / Python, descriptive and diagnostic analytics, statistical modelling, and data visualisation).In case

thms in common programming languages Proficiency in statistical packages and ML libraries (e.g., R, Python SciPy, NLTK, Spark MLlib, SAS) is advantageous Behavioural Competencies Customer Focus: Prior

ative AI Tools: LangChain, LlamaIndex, CrewAI, Ollama, Agents, RAG frameworksProgramming Languages: Python, RAI/ML Frameworks: TensorFlow, PyTorch, Scikit - learn, NLP frameworks, Computer Vision (Ope

niques to enhance user experience.Use/be familiar with data analysis software, (such as, SQL, SSRS, Python, TeraData, DataWiki, Microsoft Power Platform etc.) to improve/innovate/digitise the internal

ple change managementKnowledge & SkillsProficiency in data analysis tools (Excel, SQL, Power BI, or Python)Banking regulation (Expert)Writing & reporting (Advanced)Presentation skills (Advanced)Unders

ta sources Knowledge of data governance, security, and compliance frameworks Hands on experience in Python Experience with data migration and modernisation projects Experience working in agile develop

itio, ADB, ADF, SAS ETL) Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB) Programming (e.g., Python, R) Cloud Data Engineering (Azure, AWS, Google) Data Analysis and Data Modelling Behavioural

olsStrong troubleshooting skills and deep understanding of Linux internalsBash scripting expertise (Python is a plus)Familiarity with TCP/IP, DNS, NFS, LDAP, and networking fundamentalsRHCSA and/or RH

ker/Kubernetes, AWS ECS), and Java/Spring.Advanced Linux knowledge and scripting (TypeScript, Java, Python, PowerShell, Bash).Understanding of SSO and AD integration.Experience with Agile teams and fa

uivalent. Have professional experience in software engineering. Have experience with development in python and cloud technologies such as AWS Be familiar with Agile and Waterfall methodologies. Be abl

atforms (e.g., Denodo). Basic Programming/Scripting: 2 years Exposure to scripting languages (e.g., Python, R) for data manipulation and automation is advantageous. Agile & Project Delivery: Experienc

e in Data analytics.A high level of mathematical ability and experience in SAS, AWS, CLOUD, SQL and Python.Proficient in Microsoft Office/Google Workspace. AWS experience advantage.Ability to analyse,

itio, ADB, ADF, SAS ETL) Databases (PostgreSQL, MS SQL, IBM DB2, HBase, MongoDB) Programming (e.g., Python, R) Cloud Data Engineering (Azure, AWS, Google) Data Analysis and Data Modelling Behavioural

testing e.g. APIsAutomated testing and tools e.g. SeleniumCode reviewing & Development: Focused on Python scriptingSoftware incident and problem managementExpertise in multiple programming languages,

e in Data analytics.A high level of mathematical ability and experience in SAS, AWS, CLOUD, SQL and Python.Proficient in Microsoft Office/Google Workspace. AWS experience advantage.Ability to analyse,

product quality and team efficiency.Tech Stack - Our Current Stack IncludesLanguages & Frameworks: Python, PyTestDatabases: PostgreSQL, MongoDB, SnowflakeTesting & QA Tools: PyTest, PostmanCloud & In

nagementPreferredStrong oral and written communication Skills and ability to influence peers/upwardsPythonPlease save a copy of the job description, as this may be helpful to refer to once the advert

c dashboards and automations. You'll have the opportunity to improve your technical skills by using Python and SQL, as well as using LLMs in your day - to - day work.Things you'll have done beforeYou'

Gauteng, Centurionnegotiable - negotiableOur client based in Centurion is looking for a Python Developer on a short term contract basis - Hybrid 3 months4+ years experience with Python.For More Information Please ContactLethabo Lubisi

sualization ability (using applications such as Power Bi, Tableau, Qlicksense, etc), Coding skills (Python, C#, .Net, etc)Artificial Intelligence (AI) - E.g. Machine Learning building large language m

ng and marketing teams EHODsThe ideal candidate for this role will have: Experience in programming (Python; VB; R; Matlab; etc)8 - 10 years working experience in Commercial and/or Finance and/or Analy

tability and complexity and computer architecture. Strong proficiency in programming tools (such as Python, R, etc) for data manipulation, statistical analysis, and machine learning tasks is essential

eam of energy data scientists to perform advanced analytics within a data science environment (e.g. Python) as well as advance analytics and processing of data in Microsoft Excel if necessary Ability

equivalent.Have 1+ years of experience in software engineering.Have experience with development in python and cloud technologies such as AWSBe familiar with Agile and Waterfall methodologies.Be able

complex models, provide in - depth analysis, and generate actionable reports using tools like SQL, Python, and R. Your insights will drive strategic decisions related to credit risk, profitability, a

ntial that the have the following skills:Minimum of 5 years hands - on technical experience in SQL, python and PowerBI/Qlikview/Tableu.Environmental and Sustainability Data Analytics experience.Educat

product quality and team efficiency.Tech Stack - Our Current Stack IncludesLanguages & Frameworks: Python, PyTestDatabases: PostgreSQL, MongoDB, SnowflakeTesting & QA Tools: PyTest, PostmanCloud & In

quivalent. Have 1+ years of experience in software engineering. Have experience with development in python and cloud technologies such as AWS Be familiar with Agile and Waterfall methodologies. Be abl

ground within telecoms or financial services2 - 5 Experience using programming languages (i.e. SQL, Python etc.) and other analytical toolsExcellent problem - solving skills Must have technical / prof

(SolarWinds, PRTG, Nagios, Zabbix) for proactive issue detection.Automate network operations using Python, Ansible, Terraform, and REST APIs.Implement log management and correlation for security even

set you're efficient at identifying and addressing potential blockers.Nice To Have Familiarity with Python and React. Previous experience working on blockchain projects or decentralized applications (

ed tools like Azure SQL, Synapse, Data Lake, and Databricks.Additional skills in Tableau, Power BI, Python, R, Scala, and advanced mathematics are advantageous.CompetenciesTechnical and Analytical Ski

in Computer Science or similar, is highly preferred. Programing Language preferred - C#, Node.js or Python. Exposure to Web Development i.e HTML, CSS, React. Database exposure i.e MySQL, MongoDB. Tool

oft Office 365. Subject matter expert in programming languages such as C/C++, C#, Java, JavaScript, Python, Node.js, libraries and frameworks. Seasoned expertise of data structures, algorithms, and so

nd formulation techniques.Experience with data analysis software or programming languages (e.g., R, Python).Were committed to guaranteeing inclusive recruitment processes and to advocating for hiring

formation Systems or related fieldAdvanced proficiency in Reporting and Analytics Technologies SQL, Python, Databricks and PowerBI Certifications beneficialExperience in an FMCG Logistics experience b

ing IaaS, PaaS, SaaS, and virtualization.Familiarity with scripting or programming languages (e.g., Python, Java, SQL).Experience with Linux and/or Windows operating systems.Basic understanding of net

ed tools like Azure SQL, Synapse, Data Lake, and Databricks.Additional skills in Tableau, Power BI, Python, R, Scala, and advanced mathematics are advantageous.CompetenciesTechnical and Analytical Ski

nt IA, machine learning ou deep learning.Comptences TechniquesMatrise des langages de programmation Python, R, Java, ou C++.Connaissance des frameworks IA comme TensorFlow, PyTorch, Keras, ou scikit -

olsStrong troubleshooting skills and deep understanding of Linux internalsBash scripting expertise (Python is a plus)Familiarity with TCP/IP, DNS, NFS, LDAP, and networking fundamentalsRHCSA and/or RH

tical modeling, and machine learning. Technical Skills:Proficiency in programming languages such as Python, R, or Scala. Experience with data processing frameworks like Apache Spark, Hadoop, or simila

ing types, Unit, Integrations, and end to end testing Programming languages (C# required), Node JS, Python, JavaScript (Nice to have))SkillsCollaboration skills Technical expertiseLeadership quality D

matics and AI - driven insights into actuarial pricing models. Automate data processing tasks using Python, SQL, and C#, ensuring scalable and efficient systems. Design and implement robust software s

ed tools like Azure SQL, Synapse, Data Lake, and Databricks.Additional skills in Tableau, Power BI, Python, R, Scala, and advanced mathematics are advantageous.CompetenciesTechnical and Analytical Ski

ology stack is predominantly hosted in Google Cloud Platform with services written in .Net Core and Python. The data landscape includes MYSQL and Big Query. This technology stack is currently being re

al analytical skills; experience with data visualization tools (e.g., Tableau, Power BI) or coding (Python, SQL). Experience working in global teams spanning North America, Europe, and Asia. Backgroun

ed tools like Azure SQL, Synapse, Data Lake, and Databricks.Additional skills in Tableau, Power BI, Python, R, Scala, and advanced mathematics are advantageous.CompetenciesTechnical and Analytical Ski

nd scripting. Hands - on experience with technologies/tools including: Programming Languages: Java, Python, or JavaScript. Test Automation Tools: Selenium, WebDriver, TestNG, JUnit, Maven, Ant. Develo

SM/Telecommunications/ICT Industry standards and methods - L1 to L3.SD - WAN experience would be an advantageProgramming skills (Python, SQL, Data Modeling languages, APIs, etc.) would be an advantage

or business data analysis. Nice to Have:Exposure to APIs and integrating data sources. Knowledge of Python (PySpark) for data processing. Experience with dbt (Data Build Tool) for transformation workf

ed tools like Azure SQL, Synapse, Data Lake, and Databricks.Additional skills in Tableau, Power BI, Python, R, Scala, and advanced mathematics are advantageous.CompetenciesTechnical and Analytical Ski

ck.NetC#Relational Databases (PostgreSQL)JavaScript (Typescript)HTMLCSSjQuery and React (Beneficial)Python (Nice to have)AWSBPMN (Beneficial)SkillsAnalytical SkillsAttention to DetailCommunications Sk

nce, Economics etc.)1 - 4 years experience in Data analytics.Experience in SAS, AWS, CLOUD, SQL and Python.Proficient in Microsoft Office/Google Workspace. AWS experience advantage.Competencies:Abilit

L tools such as Ab Initio and InformaticaAre proficient with programming languages (SQL, XML, Java, Python).Are familiar with data platforms (Oracle, Teradata, Hadoop, SQL).Have worked on Big Data pla

ilities and explain how to avoid them.Experience with or knowledge of programming languages such as Python, Perl, SQL, Ruby, or Go.Skills & CompetenciesStrong understanding of networking protocols and

science principles including NLP, deep learning, reinforcement learning, or time - series modeling.Python/R experience and relation/Non - relational databases. Familiarity with modern deep learning f

aking at these levelsUsing AI frameworks such as TensorFlow and PyTorch to deploy with whilst using Python, SQL, PysparkHands on experience integrating AI Models into applications and servicesBig data

Thoughtspot or EquivalentJIRAExperience with object - oriented/object function scripting languages: Python, Java, C++, Scala, etcRemote TypeHybrid RemoteSkills To Succeed In The RoleWe are an Equal Op

y.Software Development:Reverside is looking for a Candidate with 4 + Years of experience. Must have Python background and Java / Cloud as main languages. Candidate should be equipped with Back - End a

ll work with cutting - edge language models, craft compelling AI prompts, and integrate lightweight Python and templating solutions to deliver high - impact content workflows that meet customer busine