272 Data Intelligence jobs in South Africa

We are looking for an outstanding Business Intelligence candidate with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product and business decisions and identify new opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation.

The candidate will aid in understanding the business’s data through business intelligence tools, data analysis & story-telling and strategic initiative setting. The candidate will work closely with the CEO, COO, HOD’s and the operations team to ensure integrity of the operations processes and reporting to the clients. This position reports directly to a business Executive. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Minimum Qualifications

• Professional Qualifications/Honour’s Degree (Statistics, Actuarial, SQL, Data Science)
• Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions
• 5+ years' experience within required field
• Organisational and planning skills, being able to prioritise workload.
• Strategic and analytical mindset
• Ability to use initiative, a self-starter.
• High attention to detail and high level of accuracy
• Excellent interpersonal skills including the ability to communicate, negotiate and influence across the organisation and externally.
• Experience in reporting, data extraction, data mining, data modelling and predictive modelling essential.
• Exposure within the Medical Scheme administration environment would be an added advantage.

Duties and Responsibilities

• Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product and operational decisions.
• Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and ability to use a programming and/or scripting language to process data for modeling.
• Create and evolve organization wide self-service reporting platforms.
• Manage team and team deliverables.
• Understand data enough to interrogate accuracy and use data to provide analytics to support business objectives.
• Consolidate, analyze, interpret and provide high quality business intelligence and analysis.
• Support stakeholders with data, insights, query resolution and ad hoc analysis of data.
• Produce targeted reports and presentations that summarize findings and recommendations in order to inform stakeholder decision-making.
• Solve stakeholder needs and drive the strategy for the business by providing insight and managing data analysis and interpretation on strategic issues and business-related challenges.
• Understand how to use PowerBi to gather data, for data-story telling.
• Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation.
• Oversight of the reporting team and the related strategy.
• Prepare reports by collecting, analyzing, and summarizing information as per contracted deliverables and ad-hoc requests.
• Develop new reporting applications to meet business demands and evolution of the data landscape.

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We are looking for an outstanding Business Intelligence candidate with broad technical skills to build analytic and reporting capabilities to deliver on strategic analytical/reporting projects, define/produce end-to-end metrics that inform product and business decisions and identify new opportunities through data-driven insights. The ideal candidate relishes working with large volumes of data, enjoys the challenge of highly complex business contexts, and, above all else, is passionate about data and analytics. The candidate is an expert with business intelligence tools and passionately partners with the business to identify strategic opportunities where data-backed insights drive value creation. The candidate will aid in understanding the business’s data through business intelligence tools, data analysis & story-telling and strategic initiative setting. The candidate will work closely with the CEO, COO, HOD’s and the operations team to ensure integrity of the operations processes and reporting to the clients. This position reports directly to a business Executive. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. Minimum Qualifications Professional Qualifications/Honour’s Degree (Statistics, Actuarial, SQL, Data Science) Demonstrated ability to interact with business customers, gather requirements and deliver complete scalable and sustainable BI solutions 5+ years' experience within required field Organisational and planning skills, being able to prioritise workload. Strategic and analytical mindset Ability to use initiative, a self-starter. High attention to detail and high level of accuracy Excellent interpersonal skills including the ability to communicate, negotiate and influence across the organisation and externally. Experience in reporting, data extraction, data mining, data modelling and predictive modelling essential. Exposure within the Medical Scheme administration environment would be an added advantage. Duties and Responsibilities Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product and operational decisions. Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL and ability to use a programming and/or scripting language to process data for modeling. Create and evolve organization wide self-service reporting platforms. Manage team and team deliverables. Understand data enough to interrogate accuracy and use data to provide analytics to support business objectives. Consolidate, analyze, interpret and provide high quality business intelligence and analysis. Support stakeholders with data, insights, query resolution and ad hoc analysis of data. Produce targeted reports and presentations that summarize findings and recommendations in order to inform stakeholder decision-making. Solve stakeholder needs and drive the strategy for the business by providing insight and managing data analysis and interpretation on strategic issues and business-related challenges. Understand how to use Power Bi to gather data, for data-story telling. Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation. Oversight of the reporting team and the related strategy. Prepare reports by collecting, analyzing, and summarizing information as per contracted deliverables and ad-hoc requests. Develop new reporting applications to meet business demands and evolution of the data landscape. #J-18808-Ljbffr

ABOUT GENESIS:

In a world undergoing convulsive technological and political change, Genesis partners with key actors to deliver urgent, lasting impact in critical areas.

Genesis, an impact firm founded, incorporated and headquartered in Africa, has worked in 46 African countries and more than 100 countries globally. Uniquely, Genesis is focused on the Young World – the arc of countries with young populations stretching across Africa, the Middle East, South Asia and parts of Southeast Asia. By 2030 four in five children will be born in the Young World, making this region central to the future. With growing markets and young, productive populations, Young World countries have the most positive potential trajectory in the world. It is here that investments of all kinds will have the highest social and economic returns.

p>Our job at Genesis is to help societies, governments and businesses across the Young World succeed at three fundamental historic transitions:

• Reconfiguring economies: creating income for large, rapidly urbanising youth cohorts within a global economy undergoing profound changes.
• A human transition: a fundamental rethink of how societies, governments and markets can ensure the health and cognitive and social well-being of all those young people, including the most vulnerable.
• A just climate transition: both to decarbonise and to manage the human and economic impacts of a global crisis they did not cause.

To do this work, we are building a new type of impact firm.

PRACTICE AREA DESCRIPTION

PDI is Genesis’ Centre of Excellence for Data Intelligence. We deliver end-to-end quantitative and qualitative data solutions for collecting, managing, analysing, and visualising data using cutting-edge tools and methodologies. Our vision is for Genesis to become known throughout the Young World for data intelligence that drives decision-making and unlocks significant value.

p>We are experts in data intelligence, offering comprehensive research project management services including: study design and sampling, data collection tool development, backend data management systems, fieldwork management, data quality and cleaning, and analytics. Innovation through technology is at the core of what we do, where we leverage a suite of powerful, integrated tech tools to implement projects. In addition, we seek to advance the collective capabilities in data intelligence across our company, offering technical support and capacity building opportunities to the wider firm.

ROLE DESCRIPTION

We are seeking a dedicated Senior Associate to join our innovative team. The Senior Associate will be responsible for leading primary data collection projects and supporting our broader mission of advancing data intelligence capabilities across Genesis. The ideal candidate will be highly experienced in managing large-scale primary data collection including client relationship management, study design, fieldwork methodology, data collection instrument design and digitisation, fieldwork management, data management and quality assurance, and analysis.

We are looking for a candidate who is passionate about impact research and data, rigorous, with strong project management skills, excited about leveraging innovative tech solutions, and aligned with PDI’s mission and vision.

Key Responsibilities:

Project and Client Leadership:

• Oversee project management, including budgeting, resource allocation, timelines, and deliverables.
• Manage relationships with clients, fieldwork partners, and other relevant stakeholders.
• Disseminate research findings using various mediums such as reports, dashboards, data visualisations, and presentations.

Technical Execution:

• Lead the technical design of studies, including sampling and fieldwork methodology.
• Oversee data collection tool design and digitisation.
• Manage the set-up and maintenance of backend data pipelines.
• Design and facilitate training for fieldwork teams.
• Ensure robust data management and quality assurance processes.
• Conduct data cleaning and analysis.
• Develop insightful dashboards and map geographical data.
• Provide support by troubleshooting technical issues.

Team and Practice Development:

• Provide management and leadership to project teams.
• Contribute to the training and capacity building of the PDI team and the wider Genesis firm.
• Work with leadership to streamline processes and develop guidelines and standards for best practice.

REQUIREMENTS

Genesis consultants carry a balanced combination of powerful intellect, strong technical skills, and a consulting character to match. Successful candidates for roles at Genesis are passionate, self-motivated, and energetic problem-solvers who value integrity and exhibit ethical behaviour. They are analytical thinkers and fast learners with an excellent academic record.

Required Qualifications & Experience:

• A Master’s degree or higher in Economics, Statistics, Monitoring and Evaluation, Public Health, Psychology, or a related field.
li>At least 6 years of experience in data-driven consulting work, specifically managing primary data collection.
• Excellent writing skills with proven experience in leading the development of analytical reports and project proposals.
• Experience in designing and facilitating training sessions.

Technical Skills:

• High proficiency with mobile data collection tools (e.g., SurveyCTO), relational databases (e.g., Airtable), and dashboard tools (e.g., Google Looker Studio).
• Expertise in scripted statistical analysis software (e.g., Stata/R) and geospatial tools (e.g., QGIS).
• Strong problem-solving skills with the ability to diagnose and resolve technical issues effectively.

Professional Attributes:

• A person of integrity and rigour.
• Excellent written and verbal communication skills, with the ability to convey technical information to non-technical audiences.
• Highly organised with strong project management and coordination skills.
• Self-driven and able to work independently.
• A tech-savvy individual excited to work with a diverse range of tools.
• A collaborative team player.
• Ability to thrive in a fast-paced, dynamic environment.
• An eagerness to learn and grow.

HOW TO APPLY

• Please follow the online application process on the career portal of the Genesis website. We are unable to accept any e-mailed CVs or applications.
• Your application will be considered primarily for this role. If you are interested in multiple roles, please submit a separate application for each position.1
• Once you have applied via our career portal, you will receive a system-generated confirmation e-mail that your application was received.2
• NOTE: Please be advised that uploaded documents/attachments cannot3 be bigger than 4MB in total, as the system will not accept your application if the uploaded documents exceed this limit.
• Communication will be with short-listed candidates only. If you do not receive any feedback on your application within 3 weeks, please consider your application unsuccessful.
• Genesis Analytics reserves the right not to proceed with an appointment for any advertised role.
• All appointments will be made in line with Genesis Analytics’ Employment Equity Plan and Transformation Policies.
li>At Genesis, we prioritise your privacy by collecting essential personal information for job applications, which is reviewed confidentially by authorised hiring personnel to assess your suitability and communicate with you about your application status.

#PrimaryDataIntelligence #ImpactConsulting #InternationalDevelopment #DataScience #DataDriven #ICT4D #Stata #SurveyCTO #Airtable #ProjectManagement

Die sovanta AG optimiert den Einsatz von SAP mit Hilfe von Software Development, UX Design und künstlicher Intelligenz.

Du hast Lust in einem innovativen Arbeitsumfeld mit neusten Technologien zu arbeiten? Teamspirit, flexible Arbeitszeiten und eigene Projekte sind dir wichtig? Du hast Lust und Zeit, unser Team für 3-6 Monate zu unterstützen? Dann freuen wir uns auf deine Bewerbung

Was dich bei sovanta erwartet

• Zukunftsorientiertes Arbeiten mit modernen Cloud- (AWS/Azure), SAP-, Web- und mobilen Technologien
• Du kannst nach individuellem Interesse eigene Projekte wählen und dabei einen dieser Schwerpunkte legen: Natural Language Processing, Predictive Analytics oder Computer Vision
• Bei sovanta bist du von Anfang an fester Bestandteil deines Teams und sammelst neben dem Studium wertvolle Berufserfahrung
• Dank unserem strukturierten Onboarding wirst du dich schnell bei uns zurechtfinden und lernst darüber hinaus auch andere Abteilungen kennen
• Beim Welcome Lunch lernst du direkt viele andere sovantees kennen
• Ein Mentor* steht dir ab Tag eins zur Seite und unterstützt dich bei allen fachlichen und organisatorischen Fragen
• Wir leben von einem engen Austausch und legen viel Wert auf unsere regelmäßigen Knowledge-Sharing-Sessions, Unit Meetings und Feedbackgespräche
• Sommerfeste, X-Mas Party oder Lunch Roulette – auf dich warten Company Events vom Feinsten, lass dich überraschen!
• Sei bei unseren Health Days dabei und sammle wertvolle Tipps für einen gesünderen Alltag oder drehe eine Runde mit den sovanta Bikes
• Werde Teil der sovanta-Familie – unser großartiges Team kann es kaum erwarten, dich schon bald zu begrüßen!
  
  

Deine Aufgaben bei sovanta

• Du unterstützt unsere Data Scientists* beim Umsetzen kleiner PoCs sowie komplexen Kundenprojekten
• Du unterstützt bei spannenden Aufgaben im Bereich Data Science und Machine Learning
• Bei innovativen Kundenprojekten wirst du eingebunden und arbeitest dort mit den neusten Technologien (z.B. GenAI)
• Du übernimmst die Recherche, Evaluation und Einbindung von state-of-the-art ML-Modellen und -Techniken
• Du trainierst und optimierst eigene, aufgabenspezifische Modelle
• Du begleitest Projekte im gesamten Entwicklungszyklus: von Anforderungsaufnahme über Design und Entwicklung bis hin zu Dokumentation und Deployment
  
  

Data Scientist (m/w/d) bei sovanta zu sein bedeutet, Prozesse intelligent zu machen – und nicht nur den ganzen Tag SQL-Tabellen hin und her zu schieben. Durch unsere Erfahrungen im Bereich KI helfen wir unseren Kunden die richtigen Entscheidungen für die Zukunft zu treffen.

Larissa

Senior Data Scientist

Damit punktest du bei uns

• Du studierst im Bereich Data/Web Science, Informatik, Wirtschaftsinformatik oder vergleichbar und hast hervorragende Noten
• Du kannst solide Grundkenntnisse von Methoden und Werkzeugen aus dem Bereich Data Science vorweisen
• Du hast bereits erste Erfahrungen in mindestens einer der nachfolgenden Programmiersprachen: Python, R oder Java
• Du brennst für das Arbeiten mit großen Datenmengen und Datenbanken
• Dich zeichnet eine kreative Herangehensweise an die immer komplexer werdende Geschäfts- und IT-Welt aus
• Gute Deutsch- und Englischkenntnisse runden dein Profil ab
  
  

Wie du dich bei uns bewirbst

Schicke uns bitte deinen Lebenslauf, dein aktuellen Transcript of Records, deine Immatrikulationsbescheinigung und – sofern vorhanden – Arbeitszeugnis(se) mit, damit wir deine kompletten Bewerbungsunterlagen auf einen Blick haben.

Hinweis: *Talent primär, Geschlecht egal

Silja Eikermann

Employer Branding & Recruiting Specialist

Das klingt spannend?

Dann freuen wir uns auf die vollständige Bewerbung über das Formular.

sovanta AG

Mittermaierstraße 31

69115 Heidelberg

E-Mail:

Tel: 06221 / 18733 105

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Calling all AI explorers! Join a cutting-edge lab where your GenAI models shape the future.

From LLMs to data pipelines, you’ll help build intelligence that evolves .

A leading tech-driven organisation is seeking a Generative AI/Data Science specialist to join their innovation lab. This role involves deep AI model development and strong data engineering fundamentals. You’ll focus on building and refining LLM-powered solutions , emphasizing RAG (Retrieval Augmented Generation) frameworks using tools like LangChain and LlamaIndex .

You will partner with data engineers to ensure clean, scalable data pipelines , work on ETL processes and dimensional models, and deploy AI models into live environments with performance and scalability in mind. Additionally, you’ll experiment with new GenAI techniques, support MLOps efforts, and communicate findings to both technical and non-technical stakeholders.

Skills & Experience:

• 3+ years’ experience in AI/ML, with at least 1–2 years specifically in Generative AI
• Proficiency with Python , SQL , and libraries like Pandas and NumPy
• Practical experience with LangChain , LlamaIndex , or other LLM ecosystems
• Strong background in ETL , data engineering , and dimensional modelling
• Experience working across cloud platforms (AWS, Azure, or GCP)
• Familiarity with Docker , Kubernetes , and model deployment best practices
• Exposure to vector databases , Spark , or Hadoop is advantageous
• Confident communicator who can translate complex AI concepts into actionable insights

Qualifications:

• Bachelor’s or Master’s in Computer Science, Data Science, Machine Learning, or related fields
• Preferred certifications (not required but advantageous):
• AWS Certified Machine Learning / AI Practitioner
• GCP Professional ML Engineer / Associate Cloud Engineer
• Microsoft Azure AI Engineer / Data Scientist

If you’re ready to join a team where innovation thrives and your AI models will thrive , get in touch for a confidential chat.

Because in this world, it’s not about surviving the data jungle—it’s about engineering the future of intelligence .

Contact Kauthar Marcus at or , quoting the Ref: CTI005560 .

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Beauparc Mogalakwena, Limpopo, South Africa

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Join to apply for the Data Science Lead role at Beauparc

Beauparc Mogalakwena, Limpopo, South Africa

Join to apply for the Data Science Lead role at Beauparc

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

About The Role

Main Responsibilities:

• Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods.
• Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research.
• Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions.
• Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators.
• Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis.
• Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms.
• Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders.
• Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation.
• Make business recommendations based on the data that drives better business decisions.
  
  

Requirements

• Education: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field.
• Experience: Over 3 years of experience in data analytics
• Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience.
• Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions.
• Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques.
• Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
• Experience using Data Science algorithms and methods to solve business problems using R or Python
• Excellent capability in SQL to extract data from databases
  
  

About You

About Us

Join us on the journey….

Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.

Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.

Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.

Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.

Take the first step today and join us on the journey……….

Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.

(DE&I Policy Statement)Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries Utilities

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Kuda is a money app for Africans on a mission to make financial services accessible, affordable and rewarding for every African on the planet.

We're a tribe of passionate and diverse people who dreamed of building an inclusive money app that Africans would love so it's only right that we ended up with the name ‘Kuda' which means ‘love' in Shona, a language spoken in the southern part of Africa.

We're giving Africans around the world a better alternative to traditional finance by delivering money transfers, smart budgeting and instant access to credit through digital devices.

We've raised over $90 million from some of the world's most respected institutional investors, and we're rolling out our game-changing services globally from our offices in Nigeria, South Africa, and the UK.

Role Overview

As the Data Science Manager at Kuda, you will be responsible for leading a dynamic team of data scientists to develop and deploy machine learning models that drive critical business outcomes across the entire credit lifecycle. Your team will focus on building solutions for credit scoring, fraud detection, and collections, while also supporting various other business functions by providing data-driven insights and predictive capabilities.

You will work with cutting-edge technologies in data science and machine learning, with an emphasis on building scalable, real-time decisioning systems that are integrated into our product offerings. This means that your models will not only be developed but also put into production in a way that supports live, real-time decisions, enhancing Kuda's ability to serve customers with speed and precision.

Your role will require collaboration across multiple cross-functional teams, including product, business, technology, and data teams, ensuring that all teams are aligned to deliver value through innovative, data-driven solutions. As a manager, you'll foster an environment of continuous learning and improvement, ensuring that your team stays ahead of the curve in terms of industry trends, emerging technologies, and the most effective methodologies in the field of data science.

Key to your success will be your ability to translate business challenges into data-driven solutions while balancing technical execution with strategic vision. Your leadership will help scale Kuda's impact, bringing high-quality, machine learning-based credit solutions to millions of customers across Nigeria and beyond.

Key Responsibilities

• Team Leadership: Manage and mentor a team of data scientists, fostering a collaborative and innovative environment
• Model Development: Lead the design, development, and deployment of machine learning models for credit scoring, fraud detection, and collections
• Cross-Functional Collaboration: Work closely with product, engineering, and compliance teams to integrate models into production systems
• Data Analysis: Analyze large, complex datasets to extract actionable insights and inform business strategies
• Model Monitoring: Oversee the performance of deployed models, ensuring they meet business objectives and regulatory standards
• Stakeholder Communication: Present findings and recommendations to senior leadership and other stakeholders
• Continuous Improvement: Stay abreast of industry trends and emerging technologies to continuously enhance model performance and team capabilities
  
  

Requirements

• Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
• Experience: Minimum of 6 years in data science, with at least 2 years in a leadership role managing teams and projects
• Technical Skills: Proficiency in Python, SQL, and machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Strong knowledge of cloud environments and services (AWS, Google Cloud)
• Domain Knowledge: Experience in credit risk modeling, fraud detection, or financial services is highly desirable
• Leadership: Strong ability to lead teams, manage projects, and communicate effectively with both technical and non-technical stakeholders
• Regulatory Awareness: Understanding of financial regulations and compliance standards, particularly in the Nigerian context.
  
  

Benefits

Why join Kuda?

At Kuda, our people are the heart of our business, so we prioritize your welfare. We offer a wide range of competitive benefits in areas including but not limited to:

A great and upbeat work environment populated by a multinational team

Pension

Career Development & growth

Competitive annual leave plus bank holidays

Competitive paid time off (Parental, Moving day, Birthday, Study leave etc)

Group life insurance

Medical insurance

Well-fare package (Wedding, Compassionate and etc)

Perkbox

️Goalr - employee wellness app

Award winning L&D training

We are advocates of work-life balance, working in a hybrid in office schedule

Kuda is proud to be an equal-opportunity employer. We value diversity and anyone seeking employment at Kuda is considered based on merit, qualifications, competence and talent.

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Beauparc Mogalakwena, Limpopo, South Africa Join or sign in to find your next job Join to apply for the Data Science Lead role at Beauparc Beauparc Mogalakwena, Limpopo, South Africa Join to apply for the Data Science Lead role at Beauparc Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods. Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research. Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions. Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators. Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis. Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms. Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders. Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation. Make business recommendations based on the data that drives better business decisions. About The RoleMain Responsibilities:Manage the delivery of data science solutions from inception, through Proof of Concept and into production, using a range of tools and methods. Data Analysis: Collect and analyze data from various sources, including internal systems, third-party tools, and market research. Dashboard Implementation and Creation: Oversee the development, implementation, and maintenance of dynamic dashboards to visualize key metrics, enabling stakeholders to monitor performance and make data-driven decisions. Key Performance Indicators (KPIs): Define KPIs and develop reports to monitor and measure performance based on these indicators. Cross-Department Collaboration: Work alongside IT teams to ensure that data infrastructure, systems, and tools are optimized for efficient collection, storage, and analysis. Data Structure and Sources: Play a crucial role in deciding the data structure and determining the most relevant and reliable data sources for business analysis. Ensure data integrity and consistency across all platforms. Data Visualization: Create compelling presentations that convey analytical insights and actionable recommendations to senior management and stakeholders. Data-Driven Decision Culture: Foster an organizational culture that values and utilizes data-driven decision-making, promoting continuous improvement and innovation. Make business recommendations based on the data that drives better business decisions. RequirementsEducation: Bachelor’s degree in Mathematics, Statistics, Computer Science, or a related field. Experience: Over 3 years of experience in data analytics Technical Skills: Proficiency in data analysis and visualization tools such as SQL, Excel, Tableau, Power BI, or similar. A focus on Power BI experience. Dashboard Creation Expertise: Extensive experience in designing and implementing effective dashboards that provide real-time insights and enable the business to track performance and make informed decisions. Additional Knowledge: Experience in strategic planning using quantitative techniques, managing large data volumes, and advanced statistical techniques. Interpersonal Skills: Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights. Experience using Data Science algorithms and methods to solve business problems using R or Python Excellent capability in SQL to extract data from databases About YouAbout UsJoin us on the journey….Over the past 30 years, Beauparc has continued to grow and acquire businesses that all share a very similar vision and set of values. We’re now a group of almost 3000 people, all contributing to that growth and success.Whilst Beauparc is the parent company to numerous brands, we all share an ambitious vision for the future. Our primary goal is to ensure the safety and wellbeing of our people and connected partners is front and centre. As a team, we’re safer together. We deliver our customers with a partnership approach to managing their resources responsibly. We constantly push the boundaries of innovation. What’s good today can be better tomorrow.Beauparc is not just a company, it’s a resource recovery business. Over the past three decades we’ve grown and diversified significantly, we believe that great leadership is rooted in strong values. As leaders within this industry, we’re committed to shaping a better future for our friends, families and communities. Our philosophy remains unchanged, balancing customer satisfaction with environmentally sustainable practices. Exceptional customer service, and unwavering dedication to sustainability are the cornerstones of our business.Our journey is dependent upon talented, passionate, and dedicated people that constantly strive and challenge each other for better outcomes.Take the first step today and join us on the journey……….Beauparc aims to attract and retain a skilled and diverse workforce that best represents the talent available in the communities in which our assets are located and our employees reside.(DE&I Policy Statement)Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries Utilities Referrals increase your chances of interviewing at Beauparc by 2x Sign in to set job alerts for “Data Science Specialist” roles. We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr