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Results for data science in "data science" in Jobs in Gauteng in Gauteng
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Must have 5+ years experience as a Data Engineer/ Data Scientist. Must have applied data science and be involved in the production of AI/ML. Drive the analytical, statistical and programming interpretation of data to support decision making and drive business results. Gauteng based.
https://www.executiveplacements.com/Jobs/M/Manager-Data-Science-1254604-Job-Search-1-22-2026-6-25-17-AM.asp?sid=gumtree
2d
Executive Placements
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Our client is seeking a highly skilled Data Scientist to extract, analyse, and transform large datasets into actionable business insights. In this role, you will work with multiple data sources, apply advanced statistical methodologies, build predictive models, and use modern data technologies to drive strategic decision-making. You will also contribute to database structuring, engage with internal and external stakeholders, and communicate insights across both technical and nonâ??technical audiences. This role combines statistical expertise, programming capability, business acumen, and the ability to translate data into real organisational value.Requirements:Bachelors degree in Computer Science, Mathematics, Statistics, Engineering, Actuarial Science, or a related fieldFluency in Python, SQL, and R (core requirement)4 years of experience in data science, data warehousing, or modelling environmentsStrong understanding of software languages and infrastructureExperience working with, analysing, and modelling large datasetsInsurance industry exposure and actuarial understanding are highly advantageousBeneficial programming knowledge: C#.NET, C, C++, and Visual BasicApply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1254868-Job-Search-01-22-2026-00-00-00-AM.asp?sid=gumtree
2d
Job Placements
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If youre a detail-oriented data professional with strong SQL and Power BI skills who enjoys working with complex, high-volume datasets, this role is worth serious consideration, and offers meaningful exposure to enterprise-level data within the insurance and financial services sector.Role Overview:As a Data Engineer, you will play a crucial role in ensuring the accuracy, completeness, and reliability of data transformation processes. You will work closely with colleagues to deliver validated, actionable outputs from complex datasets.Key Responsibilities:Understand and work with existing team data processes, tools, and frameworks.Support data transformation from multiple input systems (e.g., DINO, local SQL databases) into concise, validated outputs for business teams.Perform thorough validation and verification checks to ensure data accuracy and completeness.Identify, document, and communicate data errors clearly and concisely.Collaborate with the data team to implement and track solutions for data issues.Technical Requirements & Expertise:Strong proficiency in Microsoft SQL for data ingestion, transformation, and analysis.Advanced skills in Microsoft Excel, including Power Query, Power Pivot, and Power BI.Ability to organise, manipulate, and analyse large datasets.Knowledge of life insurance products is advantageous.Qualifications & Background:Bachelors degree in Science, IT, Actuarial Science, Data Science, or a related discipline.Minimum of four years relevant professional experience in data analysis, data management, or business intelligence.Ability to work independently with strong attention to detail.Excellent communication and interpersonal skills to work effectively with both technical and non-technical stakeholders.Ability to work under pressure and meet deadlines in a fast-paced environment.
https://www.executiveplacements.com/Jobs/D/Data-Engineer-1255173-Job-Search-01-23-2026-04-25-01-AM.asp?sid=gumtree
1d
Executive Placements
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Key Job ResponsibilitiesTactical ImplementationAlign all operational activities undertaken in the department to the BRIGHT strategy objectivesDrive best practice, iterative improvement and innovationProvide recommendations to various business units and influences future plans based on insightsData ModellingResearch and develop custom data models and algorithms to apply to data setsDesign data science approach, applying tried-and-true techniques or developing custom algorithms as needed by the business problemLead multiple analytic project teams by serving as the senior technical thought leader for project teams; working with various business units to translate project goals into data analytic modelBuild predictive and data mining models with high dimensional and dynamic data and conduct analysis through the project life cycleEffectively communicate and interpret model results for business LLM Model prototypes and incorporating OpenAI prototypes in solutions Data AnalysisUtilise Big Data analytics and advanced data mining techniques to analyse data and extract meaningful business insights and the story behind the pattern.Code, test and maintain analytical software toolsInvestigate adversarial trends, identify behavior patterns, and respond with agile logic changePerform analytical tasks such as text mining and sentiment analysis using Big Data techniques and algorithms.Analyse data from company databases to drive optimisation and improvement Education / Business DegreeHonours degree in relevant fieldMinimum of 3-year tertiary degree in (STEM); Engineering, Computer Science, Mathematics, Statistics, Biological Sciences or related quantitative fieldWork ExperienceMinimum of 5 years experience in a data science environment, with experience in model development, interpretation and deployment.Practical experience with and theoretical understanding of algorithms for classification, regression, clustering, and anomaly detectionManagement experience beneficial.Experience working in a medium to large organisationWorked across diverse cultures and geographies advantages
https://www.executiveplacements.com/Jobs/S/Senior-Specialist-Data-Scientist-1255180-Job-Search-01-23-2026-04-28-34-AM.asp?sid=gumtree
1d
Executive Placements
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Typical Duties and Responsibilities:Analysis, Modelling and Design:Perform problem analysis to understand the underlying causes, factors, and implicationsDevelop insights and identify requirements for solutions. Perform exploratory data analysis (EDA) to understand data patterns, trends, and relationshipsQualifications:Domain Relevant certificationsDegree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related fieldWork Experience:- Experience in problem solving and root cause analysis. - Exposure to the utility industry advantageous but notrequired. - Proven record of experience with data manipulation,data visualisation, and statistical analysis libraries (e.g.Pandas). - Proven application of machine learning frameworksand statistical modelling techniques. Project Experience:- Proven business analysis capability, working onmultiple and complex projects. - Proven project management capability.
https://www.executiveplacements.com/Jobs/L/Lead-Systems-Analyst-1254227-Job-Search-01-21-2026-04-33-36-AM.asp?sid=gumtree
3d
Executive Placements
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This is an entry-level research role ideal for recent MSc or PhD graduates who love lab work, data, and turning science into insight.Melrose, JohannesburgKey ResponsibilitiesResearch and test battery materials (cathodes, anodes, electrolytes)Design and run laboratory experiments and material characterizationAnalyse experimental data using statistical tools, AI techniques, or Power BISupport electrochemical testing and interpret performance resultsPrepare technical reports and research documentationCollaborate with R&D, data, and manufacturing teamsStay current with battery technology and materials science trendsMinimum RequirementsMSc or PhD in Chemistry, Materials Science, Electrochemistry, or similar1 year research or industry experienceStrong understanding of battery chemistryExposure to data analysis, AI/ML concepts, or Power BISolid lab safety knowledge and research disciplineNice-to-HavesBattery characterization techniques (XRD, SEM, TEM, BET)Python or MATLAB for data analysisStrong analytical and problem-solving skills
https://www.jobplacements.com/Jobs/B/Battery-Materials-Research-Engineer-Energy-Storage-1253608-Job-Search-1-21-2026-7-11-39-AM.asp?sid=gumtree
4d
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Role Responsibilities / Main Activities:Analysis, Modelling and Design:Perform problem analysis to understand the underlying causes, factors, and implicationsDevelop insights and identify requirements for solutions Perform exploratory data analysis (EDA) to understand data patterns, trends, and relationshipsDefine the model in the context of the solution and create functional specificationsCreate the Entity-Relationship Diagrams to visually represent entities, attributes, and relationships in the systemCollaborate with a cross-functional team of business analysts, UI analysts, and domain experts to define and document requirementsApplication of Energy sector knowledge and theory into solutions and products focused on customer valueQualifications:Certificate Domain relevant certificationsDegree in Electrical Engineering, Computer ScienceDomain-relevant certifications. Degree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related fieldPreferred Degree in Electrical EngineeringExperience to do the job:At Least 3 years of industry experience in a system Analyst role or similar
https://www.executiveplacements.com/Jobs/I/Intermediate-Systems-Analyst-1254228-Job-Search-01-21-2026-04-33-36-AM.asp?sid=gumtree
3d
Executive Placements
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What Youll Do:Collect, clean, and transform financial dataAssist with building and refining machine learning modelsSupport anomaly detection and automation toolsCreate impactful dashboards and reports in Power BICollaborate with Engineers, Analysts, and business teamsIdentify ways to improve data workflows and insightsWhat Youll Bring:A Degree in Data Science, Statistics, Finance, Computer Science, or a related field02 years experience (interns welcome!)Proficiency in Python (pandas, matplotlib, and scikit-learn)Basic SQL and familiarity with Power BI and ExcelStrong analytical thinking and communication skillsIf youre ready to launch your career in data science, then apply today.
https://www.jobplacements.com/Jobs/J/Junior-Data-Scientist-1249817-Job-Search-01-09-2026-04-14-01-AM.asp?sid=gumtree
12d
Job Placements
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Our client is the leading provider of cell captive and alternative risk transfer solutions, enabling organisations to manage risk more effectively and innovate with confidence. Their unique structures allow clients to operate their own insurance products within a secure, ring-fenced environment without the complexity of establishing a licensed insurer. This role offers genuine strategic influence. Youll embed a data-driven culture across the organisation, guide senior decision-making, and work with modern cloud-based technologies in a progressive, future-focused environment. This is a senior leadership position where your expertise will directly shape the future of data, analytics, and governance across the enterprise. Youll define standards, influence investment decisions, and ensure that data is trusted, compliant, and commercially valuable.Key Responsibilities: Define and drive the enterprise-wide data and analytics strategy, aligned to business objectivesLead and embed robust data governance, quality, and compliance frameworks across all business unitsEstablish and enforce data architecture standards to ensure consistency, transparency, and scalabilityBuild, mentor, and lead a high-performing data and analytics team, fostering accountability and collaborationPartner with senior stakeholders to translate business priorities into scalable data solutionsJob Experience and Skills Required:Education:Bachelors degree in Data Science, Statistics, Actuarial Science, Mathematics, Computer Science, or a related fieldMasters degree preferredExperience:8+ years experience in data, analytics, or technology roles within insurance, banking, or telecommunicationsMinimum of 3 years experience in a people leadership roleProven success bridging business and technology to deliver enterprise-wide data initiativesSkillsStrong hands-on expertise in Azure Synapse, SQL, and data integration platformsSolid understanding of South African data governance, regulatory, and compliance requirementsDemonstrated ability to execute analytics use cases and lead effective data governance frameworksNon-Negotiables:Proven track record in implementing enterprise-scale data governance and analytics frameworksAbility to influence at executive level and drive change across complex organisationsFor more exciting Actuarial and Analytics vacancies, please visit:
https://www.jobplacements.com/Jobs/L/Lead-Data-Governance-1252978-Job-Search-01-18-2026-22-13-59-PM.asp?sid=gumtree
5d
Job Placements
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Key ResponsibilitiesLead the transformation of Client Partners into AIâ??enabled strategic advisors through structured 120â??day capability roadmapsOrchestrate collaboration with Data Sciences teams to embed predictive models into client journeys and ROIâ??driven storytellingDrive Câ??suite relationships, enhancing retention and expansion through continuous insight and sentiment monitoringAlign crossâ??functional roadmaps with Product and Data Science teams to convert multiâ??source insights into influential contentEstablish KPIs, governance, and agile feedback loops that enable a highâ??performing humanâ??AI hybrid advisory capabilityJob Experience and Skills RequiredEducationMBA or BSc in Business, Marketing, Insights, or related fieldCertifications in AI strategy, prompt engineering, or data storytelling (advantageous)Experience12+ years in insights, consulting, CX, or strategy, with 5+ years leading teams in productâ??led researchProven success in African markets and AIâ??driven transformationStrong track record engaging the Câ??suite and driving revenue growthSkillsHybrid leadershipcoaching teams in AI literacy, insight storytelling, and CRM orchestrationAbility to operate in matrix structures with Data Science / Technology divisionsDeep understanding of ESOMAR ethics, predictive advisory, and insight commercialisationNonâ??negotiablesPassion for evolving traditional research into techâ??enhanced strategic valueAbility to merge human intelligence with AIâ??powered outputs to influence executive decisionâ??makingApply now!For more exciting Finance vacancies, please visit:
https://www.executiveplacements.com/Jobs/C/Chief-Data-Orchestrator-1254939-Job-Search-01-22-2026-22-14-19-PM.asp?sid=gumtree
1d
Executive Placements
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The Data Scientist is responsible for driving the analytical, statistical, and programming interpretation of data to support decision making and drive business results. The Data Scientist supports product, teams with insights gained from analysing company & customer data to provide business predictions, proposals, and recommendations to improve business outcomes.The role of the Data Scientist is to leverage internal and, where applicable, external datasets to build and evolve, using best practice methodologies and statistical techniques advancing to AI methodologies for the Group.Drive measurable business outcomes by turning data into automated decisions by building active tools triggering an automated action. The Data Scientist is also accountable for the execution & building the next generation foundational data infrastructure and enable delivery of actionable insights to value generating outcomes
https://www.executiveplacements.com/Jobs/M/Manager-Data-Science-Fintech-1237514-Job-Search-1-15-2026-7-34-56-AM.asp?sid=gumtree
10d
Executive Placements
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Join a company filled with like-minded individuals who deliver quality solution delivery services and prioritize flexibility in work arrangements, embracing both remote and hybrid models. As a Data Scientist you will be accountable for designing, producing, analysing, documenting and enhancing a range of predictive models across the entire life cycle. Responsibilities: Analyse complex datasets to identify trends, patterns, and correlations relevant to business objectives.Develop predictive models and machine learning algorithms to forecast customer behaviour, optimise resource allocation, and improve operational efficiency.Collaborate with stakeholders to define key performance indicators (KPIs) and develop metrics for measuring the success of data science initiatives.Design and implement data visualisation tools and dashboards to communicate insights effectively to non-technical stakeholders.Stay current with emerging technologies and best practices in data science, machine learning, and artificial intelligence.Translate business requirements into technical solutions.Work closely with cross-functional teams to analyse large datasets, develop predictive models. Qualifications and Experience: Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or a related field.3+ years of experience in data analysis, machine learning, and predictive modelling.Associate level MS CertificationsProficiency in programming languages such as Python, Java, or SQL.Experience working with large datasets and data manipulation tools (e.g., Pandas, NumPy) will be beneficial.Familiarity with cloud computing platform Azure.Knowledge of big data technologies (e.g., Hadoop, Spark).Experience with data visualization tools (e.g., Tableau, Power BI, Grafana). The Reference Number for this position is NG60589 which is a Permanent position based in Johannesburg offering a cost to company from R600k up to R800k per annum negotiable on experience and ability. Contact Nokuthula at
https://www.executiveplacements.com/Jobs/D/Data-Scientist--Johannesburg--up-to-R800k-per-an-1203408-Job-Search-7-16-2025-2-28-12-AM.asp?sid=gumtree
6mo
Executive Placements
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In this pivotal executive role, youll guide a team of 3 Client Partners through a transformation from classic research delivery to next-gen strategic advisory, powered by predictive intelligence, real-time dashboards, and ethical AI. Sitting at the intersection of product, data sciences, and Câ??suite client engagement, youll futureâ??proof relationships and drive expansion across telcoms, banking, retail, and philanthropy.Why This Role Matters:As the global $ 150 billion insights industry pivots toward co-created value, ethical AI, and tech-infused storytelling, this role becomes the orchestrator of a new paradigm: Turning complex data into compelling business narratives that influence executive decisions and grow product-led revenue.Key Responsibilities:Lead a HumanAI Evolution:Upskill and coach Client Partners in AI tools, strategic storytelling, and product evangelism.Drive a 120â??day transformation roadmap to elevate the team into trusted advisors.Orchestrate Deep Collaboration with Data Sciences:Fuse predictive models and real-time data with strategic recommendations.Translate technical outputs into compelling ROIâ??driven narratives for clients.Drive Growth with Câ??suite Precision:Build and strengthen executive relationships across major African markets.Integrate benchmarks, dashboards, and insights into client workflows to boost retention and expansion.Align Crossâ??Functionally for Maximum Impact:Co-develop roadmaps with Product and Data Science leaders.Create multi-format content (visuals, podcasts, insights collateral) that positions the firm as a thought leader.Govern Performance for a Future-Ready Team:Own KPIs, including revenue, NPS, and product adoption.Implement agile feedback loops ensuring that human creativity and AI excellence coexist.Required Qualifications/Skills:12+ years in client-facing insights or consulting, including 5+ years leading teams in product-led research, CX, or advisory.Proven success navigating AI transitions within African markets.Exceptional storytelling and CRM orchestration abilities.Strong leadership in small, agile teams and matrix environments.Bachelors or MBA in Business, Marketing, Insights, AI or data storytelling certifications advantageous.Preferred Capabilities:Experience working closely with data science/product teams.Strength in omnichannel content creation (podcasts and visual storytelling).Familiarity with ESOMAR ethics in AI-enabled partnerships.Ability to turn predictive models into proactive, commercial advisory.https://www.executiveplacements.com/Jobs/C/Chief-Insights-Orchestrator-1254157-Job-Search-01-21-2026-00-00-00-AM.asp?sid=gumtree
3d
Executive Placements
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Requirements:Educational background - Degree/diploma in computer science, digital transformation, finance or related degree/diploma.Professional experience - 8 - 10 years of working experience. Experience in data governance is highly advantageous.Project Management: - Demonstrated success in managing and coordinating projects involving diverse stakeholders. Proven ability to deliver projects on time and within scope.Data Visualization - Experience with Qlik Sense is required. Ability to create insightful data visualizations and reports to support data governance initiatives.Technical Proficiency - Experience in Abinitio as data governance tool is beneficialIndustry Knowledge - Prior experience in the telecommunications sector is a significant advantage.
https://www.executiveplacements.com/Jobs/G/Group-Data-Governance-Manager-1255385-Job-Search-01-23-2026-10-33-06-AM.asp?sid=gumtree
19h
Executive Placements
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Data Analyst | Sandton | PermanentMake data matter in a fast-moving insurance environment. This is an opportunity to work at the centre of decision-making, turning complex datasets into clear, actionable insight.This role sits across multiple business units and plays a key part in improving data quality, reporting efficiency, and commercial understanding. You will work with diverse insurance data sets, build automated reporting solutions, and support teams with insights that directly influence performance and risk management.Our client is a growing South African short-term insurer operating across specialist and traditional insurance lines. Known for technical depth and a strong risk framework, the business values agility, service excellence, and a high-performance culture.What You’ll DoAnalyse and interpret data relating to premiums, claims, policies, finance, and operationsDevelop and maintain dashboards and recurring reports for key insurance metricsExtract, clean, and integrate data from multiple internal and external sourcesInvestigate anomalies and ensure accuracy and consistency of reportingBuild automated data pipelines to improve efficiency and reliabilityProvide insights to underwriting, actuarial, claims, finance, and operations teamsWhat You BringDegree in Data Science, Statistics, Mathematics, Actuarial Science, Computer Science, or similar1–2 years’ experience in a data-focused role, ideally within insurance or financial servicesStrong SQL skills, with Python or R as an advantageExperience using BI tools such as Power BI, Tableau, Qlik, or LookerAdvanced Excel capability, including dashboards and
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1251243-Job-Search-01-14-2026-02-00-48-AM.asp?sid=gumtree
10d
Executive Placements
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Job & Role Description:Im looking to connect with Data Scientists who have proven experience applying machine learning, AI, and statistical modelling within banking or financial services environments. By partnering with me, youll be considered for multiple high-impact upcoming projects.Key Responsibilities:Analyse large-scale financial datasets to uncover trends, risks, and opportunities.Design, develop, and deploy AI and machine learning models for financial use cases.Build predictive models for credit risk, fraud detection, customer segmentation, and forecasting.Apply statistical modelling and time-series analysis to financial data.Work with structured and semi-structured data across multiple financial systems.Deploy models into production and monitor performance and model drift.Job Experience and Skills Required:Education:Degree in Mathematics, Statistics, IT, Data Science, Computer Science, or related quantitative fields.AWS Certified Data Analytics or Microsoft Certified: Azure AI Engineer Associate or Databricks Data Scientist Professional Certifications are advantageous. Experience:3+ years experience as a Data Scientist, preferably within Finance or Banking.Strong experience with Python (Pandas, NumPy, Scikit-learn).Hands-on experience with Machine Learning and AI techniques.Exposure to Deep Learning, NLP, or Generative AI / LLMs (advantageous).Strong SQL skills and experience working with large financial datasets.Experience with cloud platforms (AWS, Azure, or GCP).Experience deploying models via APIs or into production environments.Understanding of MLOps, model governance, and regulatory considerations.Apply now!
https://www.jobplacements.com/Jobs/D/Data-Scientist-1254651-Job-Search-01-22-2026-04-14-00-AM.asp?sid=gumtree
2d
Job Placements
1
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Model Validation & GovernanceLead independent validations of models, including credit risk, operational optimisation, financial crime, and marketing campaignsEnsure robust model governance and risk management processes are in placeDesign and implement challenger models using advanced machine learning techniquesTechnical Leadership & ResearchProvide subject matter expertise and oversight on technical reviews of modelsResearch emerging algorithms and technologies to ensure models meet best practice standardsContribute to enhancing validation methodologies and frameworksCollaboration & MentorshipPartner with model development teams and stakeholders to provide effective challenge and assuranceMentor analysts, identify skills gaps, and support professional growth Skills & Experience:Minimum 6+ years of experience in model development and validation within Data ScienceStrong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and advanced ML techniquesExposure to cloud platforms (AWS preferred) and emerging technologies such as large language modelsAbility to design and deliver end-to-end ML projects independentlyExcellent communication and stakeholder engagement skills Qualifications:Minimum: Honours Degree in Mathematics, Statistics, or Data SciencePreferred: Masters degree in mathematics, Statistics, or Data Science For more information contact:Recruitment Consultant
https://www.jobplacements.com/Jobs/M/Model-Validation-Lead-1254859-Job-Search-01-22-2026-10-13-57-AM.asp?sid=gumtree
2d
Job Placements
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Our client is seeking a data-driven and detail-oriented Data Analyst to join their team. This role is critical in transforming data into actionable insights that support strategic and operational decision-making across the business. Role PurposeDeliver insights from structured and unstructured data to support business decisions. QualificationsBSc in Statistics, Data Science, or related field; 3+ years of experience in analytics. Key ResponsibilitiesClean, analyze, and visualize operational and financial data.Build dashboards using Power BI, Microsoft Fabric, SAP Analytics Cloud (SAC), and Python.Support business reporting needs across departments. Skills & CompetenciesProficiency in SQL, Microsoft Fabric, Power BI, and advanced Excel.Strong business acumen and understanding of operational data.Experience with ETL processes and data modeling.
https://www.executiveplacements.com/Jobs/D/Data-Analyst-1196135-Job-Search-06-20-2025-04-09-01-AM.asp?sid=gumtree
7mo
Executive Placements
1
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Model Validation & GovernanceLead independent validations of models, including credit risk, operational optimisation, financial crime, and marketing campaignsEnsure robust model governance and risk management processes are in placeDesign and implement challenger models using advanced machine learning techniquesTechnical Leadership & ResearchProvide subject matter expertise and oversight on technical reviews of modelsResearch emerging algorithms and technologies to ensure models meet best practice standardsContribute to enhancing validation methodologies and frameworksCollaboration & MentorshipPartner with model development teams and stakeholders to provide effective challenge and assuranceMentor analysts, identify skills gaps, and support professional growth Skills & Experience:Minimum 6+ years of experience in model development and validation within Data ScienceStrong technical expertise in tree-based methods, neural networks, clustering, anomaly detection, and advanced ML techniquesExposure to cloud platforms (AWS preferred) and emerging technologies such as large language modelsAbility to design and deliver end-to-end ML projects independentlyExcellent communication and stakeholder engagement skills Qualifications:Minimum: Honours Degree in Mathematics, Statistics, or Data SciencePreferred: Masters degree in mathematics, Statistics, or Data Science For more information contact:Recruitment Consultant
https://www.jobplacements.com/Jobs/M/Model-Validation-Lead-1254141-Job-Search-01-21-2026-04-13-49-AM.asp?sid=gumtree
3d
Job Placements
1
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Role Responsibilities / Main Activities:Analysis, Modelling and Design:Perform problem analysis to understand the underlying causes, factors, and implicationsDevelop insights and identify requirements for solutionsPerform exploratory data analysis (EDA) to understand data patterns, trends, and relationshipsDevelop or know about implementing statistical models, machine learning algorithms, and predictive analytics techniques to extract insights surrounding the business requirementsConduct hypothesis testing and statistical inference to validate findings and assess model accuracyDefine the model in the context of the solution and create functional specificationsCreate the Entity-Relationship Diagrams to visually represent entities, attributes, and relationships in the systemCollaborate with a cross-functional team of business analysts, UI analysts, and domain experts to define and document requirementsQualifications to do the job:Domain-relevant certificationsDegree in Electrical Engineering, Computer Science, Data Science, Statistics, Mathematics, or a related fieldExperience to do the job:Experience in problem-solving and root cause analysisExposure to the utility industry is advantageous but not requiredProven record of experience with data manipulation, data visualisation, and statistical analysis libraries (e.g., Pandas). Proven application of machine learning frameworks and statistical modelling techniques. At least 3 years of experience as a senior System analystAt least 2 years of experience leading a team
https://www.executiveplacements.com/Jobs/L/Lead-Senior-System-Analyst-1254229-Job-Search-01-21-2026-04-33-36-AM.asp?sid=gumtree
3d
Executive Placements
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