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Results for modeling with no experience in "modeling with no experience" in Jobs in Gauteng in Gauteng
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Job & Company Description:Im looking to connect with AI / ML Engineers who have solid experience across the full machine learning lifecycle from data preparation and model development to deployment and optimisation. By partnering with me, youll be considered for multiple upcoming roles where your AI and ML expertise will be in high demand.Key Responsibilities:Design, develop, train, and deploy machine learning models.Work with structured and unstructured data to build AI solutions.Implement data preprocessing, feature engineering, and model evaluation.Collaborate with data engineers and software engineers to productionise models.Monitor model performance and retrain models as needed.Research and apply new AI/ML techniques and algorithms.Document models, experiments, and best practices.Job Experience and Skills Required:Education:Degree in Computer Science, Data Science, Artificial Intelligence, or related fields.Experience:3+ years experience as an AI / ML Engineer or Data Scientist.Strong programming skills in Python.Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).Solid understanding of machine learning algorithms and statistical methods.Experience working with data pipelines and large datasets.Familiarity with model deployment techniques (APIs, containers).Nice to Have:Experience with cloud ML platforms (Azure ML, AWS SageMaker, GCP AI).Knowledge of deep learning, NLP, or computer vision.Experience with MLOps tools and CI/CD for ML.Apply now!
https://www.executiveplacements.com/Jobs/A/AI-ML-Engineer-1247356-Job-Search-12-18-2025-16-13-24-PM.asp?sid=gumtree
9h
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Job & Company Description:Im looking to connect with Data Scientists who have solid experience across the data science lifecycle from data exploration and modelling to deployment and insight generation. Key Responsibilities:Analyse large, complex datasets to extract actionable insights.Build, train, and evaluate statistical and machine learning models.Perform data cleaning, feature engineering, and exploratory data analysis.Communicate findings and insights to technical and non-technical stakeholders.Collaborate with data engineers and software teams to deploy models.Monitor and improve model performance over time.Document methodologies, models, and best practices.Job Experience and Skills Required:Education:Degree in Data Science, Computer Science, Statistics, Mathematics, or related fields.Experience:3+ years experience as a Data Scientist or similar role.Strong programming skills in Python (and/or R).Experience with data analysis and ML libraries (Pandas, NumPy, Scikit-learn).Solid understanding of statistical analysis and machine learning algorithms.Experience working with large datasets and databases (SQL).Ability to translate data into business insights.Experience working in Agile environments.Nice to Have:Experience with deep learning frameworks (TensorFlow, PyTorch).Exposure to cloud data platforms (Azure, AWS, GCP).Experience with data visualization tools (Power BI, Tableau).Knowledge of MLOps and model deployment.Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1247355-Job-Search-12-18-2025-16-13-24-PM.asp?sid=gumtree
9h
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As a Model Validation Analyst (Decision Science), you will be part of a highly specialised team responsible for ensuring the accuracy, robustness, and governance of models used across the business. You will collaborate with modelling and business teams, provide independent technical challenges, and build challenger models that influence strategic decision-making at scale.Whats in it for you? Work with industry-leading experts, gain exposure across multiple modelling domains, grow your analytical expertise, and make a tangible impact in an environment committed to innovation and client empowerment.Key Responsibilities:Conduct full end-to-end validations across credit risk, capital, finance, and fraud models.Develop and utilise challenger models to test current model performance and robustness.Provide independent technical challenges and assurance to modelling teams and stakeholders.Ensure regulatory compliance and strong model governance practices across all models.Job Experience and Skills Required:Education:Minimum: Degree in Mathematics, Statistics, Actuarial Science, or Data SciencePreferred: Honours Degree in the above fieldsExperience:36 years experience in scorecard development, validation, or monitoringStrong background in credit risk scorecards (application/behaviour) and predictive modellingExperience in data mining and analysisComprehensive understanding of the credit lifecycleSkills:Advanced analytical and problem-solving skillsAbility to collaborate effectively across business and technical teamsHigh attention to detail and ability to work across varied model typesOther Requirements:Clear criminal and credit record (non-negotiable)Apply now!For more exciting Finance vacancies, please visit: ð???
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-1243860-Job-Search-12-02-2025-00-00-00-AM.asp?sid=gumtree
18h
Executive Placements
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Our client is a leading financial institution that thrives on innovation, robust risk management, and data-driven insights. Theyre looking for a Model Validation Analyst (Decision Science) to validate and challenge models across credit risk, finance, capital modelling, and fraud detection. This is an opportunity to be at the heart of financial transformation where your work directly impactsbusiness-critical decisions. Key Responsibilities: Conduct end-to-end validation of credit risk, financial, and fraud models.Build and assess challenger models to ensure accuracy, robustness, and compliance.Apply data mining and predictive modelling techniques to support validation.Collaborate with business and technical teams to ensure models remain fit-for-purpose.Support regulatory compliance and sound risk management through rigorous model assurance. Job Experience and Skills Required: 36 years experience in scorecard development, validation, and monitoring (credit risk application/behavior models or marketing).Strong understanding of the full credit life cycle.Hands-on experience in data mining, predictive analytics, and model building.Excellent analytical skills, attention to detail, and ability to work across multiple model types.Collaborative mindset with proven ability to engage across technical and business teams.Bachelors degree in Mathematics, Statistics, Actuarial Science, or Data Science (Honors or postgraduate degree preferred).Apply now!
https://www.executiveplacements.com/Jobs/M/Model-Validation-Analyst-Decision-Science-1247398-Job-Search-12-18-2025-16-14-04-PM.asp?sid=gumtree
9h
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Duties:Lead and mentor the Life Actuarial team, overseeing valuation, reporting, and modelling functions.Manage and deliver IFRS 17 reporting, ensuring technical accuracy and compliance.Oversee SAM regulatory submissions, capital adequacy monitoring, and solvency assessments.Drive profitability analysis, embedded value, and financial model enhancements to inform strategy.Job Experience and Skills Required:Education: Qualified Actuary (FASSA or equivalent).Experience: Minimum 3 years of actuarial management experience within a life insurance environment. Proven experience in IFRS 17, SAM, valuation, and profit modelling.Skills: Advanced Excel and actuarial modelling systems (e.g. Prophet, DCS, SQL, R or Python advantageous). Strong communication and stakeholder management skills.Other: Commercially minded, detail-oriented, and able to translate actuarial outcomes into strategic business insights.
https://www.jobplacements.com/Jobs/A/Actuarial-Life-Manager-1243848-Job-Search-12-02-2025-04-13-26-AM.asp?sid=gumtree
19h
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Lead and mentor the Life Actuarial team, overseeing valuation, reporting, and modelling functions.Manage and deliver IFRS 17 reporting, ensuring technical accuracy and compliance.Oversee SAM regulatory submissions, capital adequacy monitoring, and solvency assessments.Drive profitability analysis, embedded value, and financial model enhancements to inform strategy.Job Experience and Skills Required:Education: Qualified Actuary (FASSA or equivalent).Experience: Minimum 3 years of actuarial management experience within a life insurance environment. Proven experience in IFRS 17, SAM, valuation, and profit modelling.Skills: Advanced Excel and actuarial modelling systems (e.g. Prophet, DCS, SQL, R or Python advantageous). Strong communication and stakeholder management skills.Other: Commercially minded, detail-oriented, and able to translate actuarial outcomes into strategic business insights.
https://www.jobplacements.com/Jobs/A/Actuarial-Life-Manager-1242474-Job-Search-11-26-2025-04-13-13-AM.asp?sid=gumtree
19h
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Job & Company Description:Im looking for experienced AI / Machine Learning Engineers who have at least 2 years of hands-on experience working in real-world environments. You will have the opportunity to support and develop intelligent systems, predictive models, automation tools, and scalable machine learning solutions for clients in sectors such as Financial Services, Retail, Telecommunications, and Technology.Partnering with me gives you access to exciting opportunities where your skills in Machine Learning, Deep Learning, Python, TensorFlow, PyTorch, NLP, and Data Engineering will be highly valued.Key Responsibilities:Design, develop, train, and deploy machine learning models and algorithms.Build scalable AI solutions using frameworks such as TensorFlow, PyTorch, or Keras.Develop and optimize predictive models using supervised, unsupervised, and reinforcement learning.Perform data preprocessing, feature engineering, and model validation.Build and maintain end-to-end ML pipelines (data ingestion, training, deployment).Apply advanced statistical and mathematical techniques to solve business problems.Work with NLP, Computer Vision, or Generative AI (depending on project requirements).Deploy models into production environments using MLOps tools (Docker, Kubernetes, MLflow, Airflow, etc.).Collaborate with cross-functional teams (Data Engineering, BI, Software Development).Document models, processes, and research findings.Job Experience and Skills Required:Education:Completed Degree in: Computer Science, Data Science, Artificial Intelligence, Software Engineering, Mathematics / Statistics, Or a related fieldCertifications (Required or Highly Advantageous):AI / ML Certifications such as: Google Professional Machine Learning Engineer, AWS Machine Learning Specialty, Microsoft Azure AI Engineer Associate, TensorFlow Developer Certification or IBM AI EngineeringExperience:Minimum 2 years real-world experience working as an AI / Machine Learning Engineer.Hands-on experience building, training, and deploying ML models.Technical Skills Required:Strong experience with Python (NumPy, Pandas, Scikit-learn, etc.)Deep learning frameworks: TensorFlow, PyTorch, KerasExperience with NLP, Computer Vision, or Time-Series modellingExperience deploying ML models into productionUnderstanding of MLOps principlesExperience with REST APIs and integrating ML into applicationsSolid knowledge of SQL / NoSQL databasesCloud exposure: Azure, AWS, or GCPStrong mathematical, statistical, and analytical skillsNice to Have:https://www.executiveplacements.com/Jobs/A/AI-Machine-Learning-Engineer-1240517-Job-Search-11-19-2025-04-11-46-AM.asp?sid=gumtree
19h
Executive Placements
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The ideal candidate will hold a BCom Degree and come with a minimum of 3 years experience in a Finance Manager role. Strong technical knowledge of financial statements, budgets, and reporting is essential. The position requires someone who has experience preparing management packs, building financial models from scratch, and who is confident engaging directly with clients.A modelling assessment will form part of the recruitment process. Personality fit is important, as the role demands strong interpersonal and client relationship skills. Travel to clients will be required.Duties & Responsibilities:Prepare comprehensive reporting packs and management accounting packs.Analyze and interpret financial statements, budgets, and performance data.Build customized financial models and provide strategic insights.Work closely with large clients across various industries.Deliver high-quality reporting solutions and advisory support.Engage with stakeholders and ensure strong client service delivery.Travel to client sites as needed.Qualifications & Experience:BCom Degree required.Minimum 3 years experience in a Finance Manager role.Strong understanding of financial statements and budgeting processes.Experience building financial models (modelling test applicable).Proven exposure to large, diverse client portfolios.Strong communication style and a positive, professional personality.Willingness to travel for client engagements.Apply Now!!
https://www.executiveplacements.com/Jobs/S/Senior-Reporting-Consultant-1243343-Job-Search-11-30-2025-00-00-00-AM.asp?sid=gumtree
18h
Executive Placements
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Join a forward-thinking financial services organisation committed to innovation, growth, and delivering client-centric life insurance solutions. This role offers the chance to take ownership of the life pricing function, build methodologies, uplift modelling capability, and influence key commercial decisions.As the Life Actuarial Manager, youll play a central role in developing competitive pricing strategies, guiding product enhancements, embedding advanced analytics into actuarial models, and ensuring actuarial governance across the life product suite. You will also partner with cross-functional teams to shape product direction and ensure commercial sustainability.Whats in it for you? Strategic influence, leadership exposure, the opportunity to build and refine pricing frameworks, involvement in next-generation modelling tools, and career growth within a high-performing actuarial environment.Key Responsibilities:Lead and govern pricing methodologies, models, and actuarial frameworks for life insurance productsDevelop competitive, data-driven pricing strategies using GLMs, predictive models, and advanced analyticsReview and monitor product performance, profitability, lapse metrics, and cost structuresProvide strategic insights to Product, Sales, Marketing, CVM, and Executive teamsEmbed new methodologies, automation, data-driven tools, and AI-driven enhancements into pricing processesOversee actuarial governance, peer reviews, and pricing approval processesLead, mentor, and grow a high-performing actuarial pricing teamJob Experience and Skills Required:Education:BSc Actuarial Science / Actuarial Mathematics / Statistics (NQF 7 min)Fully qualified Fellow Actuary (non-negotiable)Honours Degree preferred (NQF 8)Experience:Minimum 5 years actuarial experience in life insurance or related product linesDemonstrated leadership or people management experienceStrong experience in life pricing, product development, financial modelling, GLMs, and predictive modellingExposure to life insurance regulatory frameworks and actuarial governanceSkills:Advanced technical capability in actuarial modelling, pricing tools, and predictive analyticsDeep commercial understanding and strategic decision-making abilityExcellent stakeholder engagement and communication skillsProficiency in emerging analytics technologies, automation, and AI-driven modelling toolsNon-negotiables:Fully qualified Fellow ActuaryStrong technical pricing and modelling expertiseProven leadership and team management experienceApply now!For mo
https://www.executiveplacements.com/Jobs/L/Life-Actuarial-Manager-1242993-Job-Search-11-28-2025-00-00-00-AM.asp?sid=gumtree
18h
Executive Placements
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Key ResponsibilitiesDevelop, implement, and maintain credit risk models for merchant and consumer advancesCreate and refine credit scoring models to support lending decisionsMonitor model performance, conduct validations, and ensure complianceCollaborate with data teams to ensure data quality and integrityProduce clear documentation for governance and audit purposesSupport stress testing, scenario analysis, and automation of models into operational systemsJob Experience and Skills RequiredEducation:Degree in Statistics, Actuarial Science, Mathematics, Data Science, or related field (Postgraduate degree advantageous)Experience:37 years in credit risk modelling, financial modelling, or data analytics within financial services, fintech, or consultingHands-on experience with statistical programming (Python, R, SAS) and SQLFamiliarity with machine learning approaches beneficialStrong understanding of credit lifecycle, risk metrics, and regulatory frameworksSkills & Attributes:Analytical mindset with strong mathematical skillsExcellent communication skills for technical and non-technical audiencesAbility to manage multiple priorities in a fast-paced environmentSelf-starter with problem-solving mindsetApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/C/Credit-Risk-Analyst-1246961-Job-Search-12-15-2025-04-12-58-AM.asp?sid=gumtree
18h
Executive Placements
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Core competencies (non-negotiable)Specialized Software Proficiency: Intermediate to advanced user level of competency in PLEXOS, Balmorel, OSEMOSYS, TIMES, or others (ability to build capacity expansion and unit commitment models from scratch, not just run existing ones).Strong project management skills requiredPolicy & Strategy Acumen: Experience translating technical results into policy insights (e.g., contributing to the IRP/gas masterplan/ municipal/enterprise level electricity masterplans).Research Leadership: Proven ability to formulate research questions, manage data collection projects, and lead technical task teamsEducation and experience required:Masters degree in electrical/mechanical/industrial engineering, mathematics, science or equivalent with at least five years working experience in the energy sector, of which three years should be in energy modellingStrong network in the public and private sectors as links to sustainable energy supply, with a track record of working with clients and obtaining contract R&D in the field.Familiarity with modelling approaches for energy planning and modelling and project management experience.
https://www.executiveplacements.com/Jobs/S/Senior-ResearcherEngineer-Energy-Systems-Energy-mo-1246103-Job-Search-12-10-2025-10-23-30-AM.asp?sid=gumtree
18h
Executive Placements
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Qualifications:Bachelors Degree in sciences or engineering with a strong focus on computer science,statistics, mathematics, and/or actuarial sciencesFluency in Python, SQL, and RBeneficial if fluent in any of the following programming languages (C#.NET, C, C++, Visual Basic, SQL)Experience:3-5 years experience in data warehousing, data sciences, and/ or modelling environmentGood understanding of software languages and software infrastructureExperience in working with and analyzing dataInsurance Industry Experience and Actuarial backgroundStatistical and Mathematical Skills:Predictive modelling skillsKnowledge of machine learning principles at a high level and the ability to implement as and when neededCritical analytical thinking and attention to detailProgramming and high-level understanding of cloud and web infrastructure:R, SQL, Python, and JavaScript experienceHigh level of competency required in Python and SQLBeneficial to have experience deploying web applications to AzureSpark experienceVersion control principles
https://www.jobplacements.com/Jobs/D/Data-Scientist-1240750-Job-Search-11-19-2025-10-31-28-AM.asp?sid=gumtree
19h
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Youll become part of a dynamic and fast-growing actuarial consulting team recognised for technical excellence and innovative solutions. Working with leading insurers across South Africa, youll gain exposure to diverse portfolios, advanced modelling frameworks, and cutting-edge analytics in areas such as pricing, capital modelling, reserving, and IFRS 17. This role is perfect for an Actuary seeking deep technical engagement, autonomy, and the chance to influence key business decisions. You will collaborate with senior leadership while mentoring junior colleagues and helping define best-practice actuarial solutions for top-tier clients.Job Experience and Skills Required:Education: Bachelors degree in Actuarial Science, Mathematics, Statistics, or a related disciplineExperience:Minimum of 7 years experience in general insurance, including pricing, reserving, or capital modelling.Qualified or near-qualified Actuary.Experience in project management and people leadership is a plus.Knowledge of SAM, ORSA processes, solvency calculations, valuations, and regulatory frameworks.Skills:Proficiency in R and/or Python for statistical modelling is advantageous.Strong analytical thinking and problem-solving ability.Excellent written and verbal communication and presentation skills.Ability to manage deadlines effectively and provide clear progress updates.High attention to detail and strong work ethic.Apply now! For more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/A/Actuarial-Specialist-1244879-Job-Search-12-05-2025-04-13-26-AM.asp?sid=gumtree
18h
Executive Placements
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Youll become part of a dynamic and fast-growing actuarial consulting team recognised for technical excellence and innovative solutions. Working with leading insurers across South Africa, youll gain exposure to diverse portfolios, advanced modelling frameworks, and cutting-edge analytics in areas such as pricing, capital modelling, reserving, and IFRS 17. This role is perfect for an Actuary seeking deep technical engagement, autonomy, and the chance to influence key business decisions. You will collaborate with senior leadership while mentoring junior colleagues and helping define best-practice actuarial solutions for top-tier clients.Job Experience and Skills Required:Education: Bachelors Degree in Actuarial Science, Mathematics, Statistics, or a related disciplineExperience:Minimum of 7 years experience in general insurance, including pricing, reserving, or capital modelling.Qualified or near-qualified Actuary.Experience in project management and people leadership is a plus.Knowledge of SAM, ORSA processes, solvency calculations, valuations, and regulatory frameworks.Skills:Proficiency in R and/or Python for statistical modelling is advantageous.Strong analytical thinking and problem-solving ability.Excellent written and verbal communication and presentation skills.Ability to manage deadlines effectively and provide clear progress updates.High attention to detail and strong work ethic.Apply now! For more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/A/Actuarial-Specialist-1247388-Job-Search-12-18-2025-16-14-03-PM.asp?sid=gumtree
9h
Executive Placements
1
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Youll become part of a dynamic and fast-growing actuarial consulting team recognised for technical excellence and innovative solutions. Working with leading insurers across South Africa, youll gain exposure to diverse portfolios, advanced modelling frameworks, and cutting-edge analytics in areas such as pricing, capital modelling, reserving, and IFRS 17. This role is perfect for an Actuary seeking deep technical engagement, autonomy, and the chance to influence key business decisions. You will collaborate with senior leadership while mentoring junior colleagues and helping define best-practice actuarial solutions for top-tier clients.Job Experience and Skills Required:Education: Bachelors Degree in Actuarial Science, Mathematics, Statistics, or a related disciplineExperience:Minimum of 7 years experience in general insurance, including pricing, reserving, or capital modelling.Qualified or near-qualified Actuary.Experience in project management and people leadership is a plus.Knowledge of SAM, ORSA processes, solvency calculations, valuations, and regulatory frameworks.Skills:Proficiency in R and/or Python for statistical modelling is advantageous.Strong analytical thinking and problem-solving ability.Excellent written and verbal communication and presentation skills.Ability to manage deadlines effectively and provide clear progress updates.High attention to detail and strong work ethic.Apply now! For more exciting Actuarial and Analytics vacancies, please visit:
https://www.executiveplacements.com/Jobs/A/Actuarial-Specialist-1245957-Job-Search-12-10-2025-04-13-03-AM.asp?sid=gumtree
18h
Executive Placements
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Youll work closely with Senior Analysts and Managers, build and improve actuarial models, and play a key part in shaping pricing, product decisions, and business insights. If you want a space where Actuaries arent tucked away doing mysterious number magic, this team will actually let you drive change.Key Responsibilities:Develop, maintain, and implement actuarial models that are accurate, documented, and genuinely useful to the business.Support model deployment, system changes, testing, and ongoing model monitoring across various product lines.Analyze business data, run impact and sensitivity analyses, and translate results into simple, meaningful insights for stakeholders.Work closely with product, pricing, sales, and marketing teams on new developments, performance tracking, and solving real business problems.Job Experience and Skills Required:Bachelors Degree in Actuarial Science or a related field.Strong progress toward an actuarial qualification.Minimum 1 year actuarial experience in a short-term insurance environment.Experience with actuarial modelling, data analysis, and reporting.Strong mathematical and statistical foundation.Proficiency in actuarial and statistical software, plus advanced Microsoft Office.Solid understanding of data mining, machine learning concepts, and data validation.Must meet (or be working toward) regulatory fit and proper requirements.Apply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/A/Actuarial-Analyst-Short-Term-1244345-Job-Search-12-03-2025-00-00-00-AM.asp?sid=gumtree
18h
Executive Placements
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Business Analyst Debt Review Analytics (Advanced Modelling / Collections Optimisation / Financial Services)A forward-thinking organisation within the financial services and collections industry is searching for a Specialist Analyst to own and optimise the full debt review (DR) lifecycle. This includes active debt review, pre-termination, and terminated DR portfolios, using advanced analytics to drive yield, reduce drop-off, enhance recovery strategies, and shape operational decision-making.This is your chance to become the single source of truth for DR performance delivering insights, models, and frameworks that directly influence commercial outcomes.Key Responsibilities:Build predictive models for drop-off risk, cure, reinstatement, settlement propensity, and post-termination recovery.Deliver end-to-end diagnostic insight across active DR, pre-term, and terminated DR portfolios.Map and optimise workflows, processes, and data flow across operations, PDAs, DCs, and internal systems.Develop portfolio segmentation frameworks and performance dashboards across mandates.Analyse payment behaviour, yield trends, reinstatement patterns, and termination economics.Provide strategic intelligence to improve collections performance, reduce exceptions, and drive consistent execution.Translate analytical findings into actionable operational and financial strategies.Job Experience and Skills Required:Education:Degree in Mathematics, Statistics, Data Science, Actuarial Science, or similar (minimum NQF7)Experience:23 years experience in data analytics within financial servicesStrong commercial awareness in collections, debt review, or unsecured lendingProven experience in predictive modelling and strategy-driven analyticsExperience translating analytics into operational and financial actionUnderstanding of DR lifecycle, NCA processes, PDAs and DC behaviour (advantageous)Skills:SQL (advanced)Python/R (modelling & statistical packages)SAS (advantageous)Data visualisation (Power BI / Tableau)Advanced Excel for financial modellingWorkflow and process optimisationStrong communication and stakeholder influenceNon-negotiables:Ability to model, diagnose, and optimise complex DR workflowsCommercially minded with strong quantitative and analytical depthAbility to own DR insights end-to-end and influence senior decision-makersApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/B/Business-Analyst--Debt-Review-Analytics-1240537-Job-Search-11-19-2025-00-00-00-AM.asp?sid=gumtree
19h
Executive Placements
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Key ResponsibilitiesDevelop and deploy advanced statistical and machine learning modelsAnalyse complex datasets to extract actionable insights for strategic decisionsDesign scalable data solutions and automation pipelinesCollaborate with cross-functional teams to integrate analytics into business strategyJob Experience & Skills RequiredEducation:Degree in Data Science, Statistics, Mathematics, Computer Science, or related field (Masters advantageous)Experience:36 years in data science or advanced analytics rolesProven experience in building predictive models and scalable data solutionsExposure to AI-driven automation and cloud-based environments (AWS/GCP/Azure)Skills:Proficiency in Python, R, SQL, and modern ML frameworksStrong statistical modelling and data engineering capabilitiesAbility to translate technical insights into commercial impactNon-negotiable:Passion for innovation and ability to work on complex, high-impact projectsApply now!For more exciting Finance vacancies, visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1247400-Job-Search-12-18-2025-16-14-04-PM.asp?sid=gumtree
9h
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Key ResponsibilitiesDevelop and deploy advanced statistical and machine learning models.Analyse complex datasets to extract actionable insights for strategic decisions.Design scalable data solutions and automation pipelines.Collaborate with cross-functional teams to integrate analytics into business strategy.Job Experience & Skills RequiredEducation:Degree in Data Science, Statistics, Mathematics, Computer Science, or related field (Masters advantageous).Experience:36 years in data science or advanced analytics roles.Proven experience in building predictive models and scalable data solutions.Exposure to AI-driven automation and cloud-based environments (AWS/GCP/Azure).Skills:Proficiency in Python, R, SQL, and modern ML frameworks.Strong statistical modelling and data engineering capabilities.Ability to translate technical insights into commercial impact.Non-negotiable:Passion for innovation and ability to work on complex, high-impact projects.Apply now!For more exciting Finance vacancies, visit:
https://www.jobplacements.com/Jobs/D/Data-Scientist-1245724-Job-Search-12-09-2025-10-13-24-AM.asp?sid=gumtree
18h
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Requirements:Solidworks/Edgecam/CAD experience.Min 2-5 yearsâ?? experience in general draughting field.3D scanning experience is a bonus.Sheet metal experience is a bonus.Mechanical draughting certificate/diploma - MUSTResponsibilities:Â Complete all administration regarding drawing and drawing controls.Do all admin having to do with drawings.Reverse engineer a variety of components.Well-versed with measuring equipment.Be able to interpret and generate DXF files.Be able to read drawings.Do limited design work in the field of assignment.Prepare complex schematic drawings from rough sketches or oral instructions.Make pictorial and isometric drawings for reports; plot charts and curves from data.Make models of components as well as creating drawings of the models.Client liaison.Follow up on projects.Update drawings and part lists.Drawing register control.
https://www.jobplacements.com/Jobs/M/Mechanical-Draughtsman-1189144-Job-Search-12-05-2025-00-00-00-AM.asp?sid=gumtree
19h
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