85 Predictive Analytics jobs in Gauteng

Join to apply for the AI Machine Learning role at Blue Pearl

Join to apply for the AI Machine Learning role at Blue Pearl

Job Description

Standard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences.

Job Description

Standard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences.

Responsibilities

• Model Development:
• Design, develop, and train machine learning models.
• Implement AI algorithms and frameworks.
• Conduct exploratory data analysis to inform model development.
• Model Deployment and Integration:
• Deploy machine learning models into production environments.
• Integrate models with existing systems and data pipelines.
• Ensure seamless operation of deployed models.
• Data Preparation and Feature Engineering:
• Prepare and clean data for model training and evaluation.
• Perform feature engineering to enhance model performance.
• Implement data preprocessing and transformation pipelines.
• Model Evaluation and Tuning:
• Evaluate model performance using appropriate metrics.
• Tune hyperparameters and optimize model accuracy.
• Conduct A/B testing and validation of models.
• Collaboration and Stakeholder Engagement:
• Work with data scientists, engineers, and business stakeholders to understand requirements.
• Translate business problems into technical solutions.
• Communicate findings and model performance to non-technical stakeholders.
• Research and Innovation:
• Stay updated with the latest advancements in AI and ML.
• Experiment with new algorithms and techniques.
• Propose innovative solutions to business problems.
• Documentation and Reporting:
• Document model development processes and methodologies.
• Create user guides and technical documentation.
• Report on model performance and project progress.
  
  

Deliverables

• Machine Learning Models:
• Trained and validated ML models.
• Model deployment scripts and integration guidelines.
• Documentation of model architecture and training processes.
• Data Pipelines:
• Data preprocessing and transformation pipelines.
• Feature engineering scripts.
• Documentation of data preparation steps.
• Performance Reports:
• Model performance metrics and evaluation reports.
• Hyperparameter tuning and optimization logs.
• A/B testing and validation results.
• Technical Documentation:
• User guides for deployed models.
• Technical documentation for model development and deployment.
• Maintenance and monitoring procedures.
  
  

Requirements

Bachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree (e.g., Master's or PhD) preferred.

Proven experience in developing and deploying machine learning models in a commercial or academic environment.

Proficiency in programming languages such as Python, R, or Java.

Strong understanding of statistical methods and data analysis techniques.

Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders.

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Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Engineering and Information Technology
• Industries IT Services and IT Consulting

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Johannesburg, Gauteng, South Africa 4 days ago

Johannesburg, Gauteng, South Africa 2 months ago

Johannesburg, Gauteng, South Africa 1 day ago

Johannesburg, Gauteng, South Africa 4 days ago

Germiston, Gauteng, South Africa 4 days ago

Personal and Private Banking (PPB) AI/ML Engineer Graduate Programme

Johannesburg, Gauteng, South Africa 1 month ago

Johannesburg, Gauteng, South Africa 13 hours ago

Johannesburg, Gauteng, South Africa 4 days ago

Sandton, Gauteng, South Africa 2 days ago

Johannesburg Metropolitan Area 1 week ago

Johannesburg, Gauteng, South Africa 2 days ago

Machine Learning Engineer/ Data Scientist with R certification + PL-400

Johannesburg, Gauteng, South Africa 1 month ago

Research Scientist – Generative & Applied Machine Learning Personal & Private Banking (PPB) Data Science Graduate Programme

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We are looking for a talented Machine Learning Engineer to join our team, responsible for developing and deploying machine learning models and algorithms that drive business growth and innovation. The successful candidate will have a strong background in machine learning, deep learning, and software engineering, with a proven track record of delivering high-quality machine learning models and algorithms. The Machine Learning Engineer will work closely with cross-functional teams, including data science, product, and engineering, to identify opportunities for machine learning-driven innovation and develop strategic plans to execute on these opportunities. Responsibilities: Design, develop, and deploy machine learning models and algorithms that drive business growth and innovation Collaborate with data scientists to develop and implement machine learning models and algorithms Work with software engineers to integrate machine learning models and algorithms into production-ready software applications Develop and maintain large-scale machine learning systems, including data pipelines, model training, and model serving Optimize machine learning models and algorithms for performance, scalability, and reliability Stay up-to-date with the latest advancements in machine learning, deep learning, and AI, applying this knowledge to drive innovation and improvement in machine learning models and algorithms Collaborate with product managers to develop product roadmaps and prioritize features and requirements Develop and maintain relationships with key stakeholders, including business leaders, product managers, and engineering teams Communicate complex machine learning concepts and results to non-technical stakeholders, including business leaders and product managers Preferred Qualifications: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field 3+ years of experience in machine learning, deep learning, or software engineering, with a focus on machine learning model development and deployment Strong background in machine learning, deep learning, and software engineering, with expertise in areas such as natural language processing, computer vision, or recommender systems Experience with machine learning frameworks and tools, such as Tensor Flow, Py Torch, or Scikit-learn Strong programming skills in languages such as Python, Java, or C++ Experience with cloud-based technologies, such as AWS or Google Cloud Strong understanding of software engineering principles, including design patterns, testing, and version control Strong communication and collaboration skills, with the ability to work effectively with cross-functional teams Technical Skills: Machine learning frameworks: Tensor Flow, Py Torch, Scikit-learn, etc. Deep learning frameworks: Keras, Tensor Flow, Py Torch, etc. Cloud-based technologies: AWS, Google Cloud, Azure, etc. Full time Johannesburg #J-18808-Ljbffr

Join to apply for the AI Machine Learning role at Blue Pearl Join to apply for the AI Machine Learning role at Blue Pearl Job DescriptionStandard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences. Job DescriptionStandard Bank is seeking a highly skilled AI and Machine Learning Specialist to join our innovative team. In this role, you will leverage your expertise in artificial intelligence and machine learning to develop and implement cutting-edge solutions that drive business value and enhance customer experiences.ResponsibilitiesModel Development: Design, develop, and train machine learning models. Implement AI algorithms and frameworks. Conduct exploratory data analysis to inform model development. Model Deployment and Integration: Deploy machine learning models into production environments. Integrate models with existing systems and data pipelines. Ensure seamless operation of deployed models. Data Preparation and Feature Engineering: Prepare and clean data for model training and evaluation. Perform feature engineering to enhance model performance. Implement data preprocessing and transformation pipelines. Model Evaluation and Tuning: Evaluate model performance using appropriate metrics. Tune hyperparameters and optimize model accuracy. Conduct A/B testing and validation of models. Collaboration and Stakeholder Engagement: Work with data scientists, engineers, and business stakeholders to understand requirements. Translate business problems into technical solutions. Communicate findings and model performance to non-technical stakeholders. Research and Innovation: Stay updated with the latest advancements in AI and ML. Experiment with new algorithms and techniques. Propose innovative solutions to business problems. Documentation and Reporting: Document model development processes and methodologies. Create user guides and technical documentation. Report on model performance and project progress. DeliverablesMachine Learning Models: Trained and validated ML models. Model deployment scripts and integration guidelines. Documentation of model architecture and training processes. Data Pipelines: Data preprocessing and transformation pipelines. Feature engineering scripts. Documentation of data preparation steps. Performance Reports: Model performance metrics and evaluation reports. Hyperparameter tuning and optimization logs. A/B testing and validation results. Technical Documentation: User guides for deployed models. Technical documentation for model development and deployment. Maintenance and monitoring procedures. RequirementsBachelor's degree in Computer Science, Engineering, Mathematics, or related field. Advanced degree (e.g., Master's or Ph D) preferred.Proven experience in developing and deploying machine learning models in a commercial or academic environment.Proficiency in programming languages such as Python, R, or Java.Strong understanding of statistical methods and data analysis techniques.Excellent communication skills with the ability to collaborate effectively with technical and non-technical stakeholders.check(event) ; career-website-detail-template-2 = apply(record.id,meta)" mousedown="lyte-button = check(event)" final-style="background-color:#187 B9 E;border-color:#187 B9 E;color:white;" final-class="lyte-button lyte Background Color Btn lyte Success" lyte-rendered="" Seniority level Seniority level Entry level Employment type Employment type Full-time Job function Job function Engineering and Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Blue Pearl by 2x Sign in to set job alerts for “Machine Learning Specialist” roles. Johannesburg, Gauteng, South Africa 4 days ago Johannesburg, Gauteng, South Africa 2 months ago Johannesburg, Gauteng, South Africa 1 day ago Johannesburg, Gauteng, South Africa 4 days ago Germiston, Gauteng, South Africa 4 days ago Personal and Private Banking (PPB) AI/ML Engineer Graduate Programme Johannesburg, Gauteng, South Africa 1 month ago Johannesburg, Gauteng, South Africa 13 hours ago Johannesburg, Gauteng, South Africa 4 days ago Sandton, Gauteng, South Africa 2 days ago Johannesburg Metropolitan Area 1 week ago Johannesburg, Gauteng, South Africa 2 days ago Machine Learning Engineer/ Data Scientist with R certification + PL-400 Johannesburg, Gauteng, South Africa 1 month ago Research Scientist – Generative & Applied Machine Learning Personal & Private Banking (PPB) Data Science Graduate Programme 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

Firm-level and tax analysis using micro data

An important element of economic growth and transformation relates to the characteristics, determinants and behaviours of firms. Firms are the economic agents that interact at the micro level but ultimately shape aggregate economic trajectories.Firm level data has high potential for enhancing understanding of these interactions as the heterogeneous characteristics of firms are not masked.

Offer and expectations

The specific objectives of this request for research proposals are:

• To obtain policy-relevant research findings on the determinants of productivity, investment, employment, exports, profitability and output by different firms with different characteristics (incl. size, sector, ownership, export intensity, degree of competition faced, age, past behaviour, and skills makeup). Also, where possible, to examine dynamic decision making effects on outcomes.
• To obtain research findings relevant to government policy questions on the impact of tax incentives (e.g. research & development, MIDP, learnership, section 12I manufacturing) and non-tax incentives on investment, value-add, job creation, capital/labour intensity and growth.
• To obtain economic analyses that could improve policymakers’ insights on issues pertinent to base erosion and profit shifting, including but not limited to corporate leverage and structuring, interest expense in relation to earnings, and linkages between R&D expense and the creation of intangibles.
• To analyse depreciation allowances claimed by companies by asset class and/or sector, and how this relates to economic depreciation of assets.
• To obtain economic analysis that improves the understanding of tax behaviour of individuals and firms.

Researchers with successful proposals will gain access to generally inaccessible data sets located at the National Treasury, subject to agreed restrictions to preserve confidentiality. It is important to highlight that, as of this call, the data are only made available to researchers while physically on National Treasury premises in Pretoria.An inventory of potential data sets is appended to this RFRP.

Proposal submission

Submission of proposals is done electronically using appropriate form on the left column of this page. There are three forms to select from; one for individuals, another for groups of individuals and a third one for NGOs. The deadline for submitting proposals is 29 February :59 EET. See full request for research proposals for detailed proposal submission details.

Any questions on the proposal process should be sent to 22February 2016. All queries and responses will be published on this announcement page after this date.

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Direct message the job poster from Network Recruitment

IT Branch Manager (C# | Java | Python | Angular | React | Mobile) at Network Recruitment |

Are you a tech visionary ready to shape the future of AI in financial services?

A leading, innovation-driven consulting firm with specialisation with financial institutions (yes, the one known for its awesome culture ) is on the hunt for a seasoned AI Specialist with 4+ years of experience . The company is based in Johannesburg.

What you'll be doing:

You’ll play a key role in building and deploying cutting-edge AI and machine learning solutions that have a direct impact on real-world business outcomes. Think smarter systems, faster decision-making, and tech that actually makes a difference.

What we're looking for:

Strong expertise in Python or Java

Hands-on experience with AI and ML models

Proven ability to take AI solutions from concept to production

A curious mind with a passion for turning data into action

Strong working experience with AWS

What's in it for you?

• Competitive salary with bi-annual performance bonuses
• Hybrid work option (3 days in office)
• Flexible work options and a supportive team culture
• Great coffee, need I say more

Apply now or send me an email to

#AIJobs #MachineLearning #TechJobs #JohannesburgJobs #PythonJobs #JavaJobs #ArtificialIntelligence #NowHiring

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology, Consulting, and Finance
• Industries Financial Services, Banking, and IT Services and IT Consulting

Referrals increase your chances of interviewing at Network Recruitment by 2x

Sign in to set job alerts for “Machine Learning Engineer” roles.

Johannesburg, Gauteng, South Africa 1 week ago

Sandton, Gauteng, South Africa 2 days ago

Midrand, Gauteng, South Africa 1 month ago

Centurion, Gauteng, South Africa 2 weeks ago

Johannesburg, Gauteng, South Africa 3 months ago

City of Johannesburg, Gauteng, South Africa 2 weeks ago

City of Johannesburg, Gauteng, South Africa 3 weeks ago

Johannesburg, Gauteng, South Africa 4 hours ago

Johannesburg, Gauteng, South Africa 1 week ago

Johannesburg Metropolitan Area 1 week ago

Data Engineer I - QuantumBlack, AI by McKinsey

Centurion, Gauteng, South Africa 2 weeks ago

Johannesburg, Gauteng, South Africa 1 week ago

Johannesburg, Gauteng, South Africa 1 day ago

Johannesburg, Gauteng, South Africa 1 week ago

Sandton, Gauteng, South Africa 2 days ago

Customer Engineer III, Data and AI, Google Cloud

Johannesburg, Gauteng, South Africa 1 month ago

Pretoria, Gauteng, South Africa 2 days ago

Johannesburg, Gauteng, South Africa 5 days ago

Johannesburg Metropolitan Area 1 week ago

Johannesburg, Gauteng, South Africa 1 week ago

Johannesburg Metropolitan Area 1 week ago

Johannesburg, Gauteng, South Africa 1 day ago

Johannesburg, Gauteng, South Africa 5 days ago

Johannesburg, Gauteng, South Africa 1 day ago

Sandton, Gauteng, South Africa 4 weeks ago

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WatersEdge Solutions is seeking a skilled Machine Learning Developer / Engineer to support a fast-growing healthcare-focused team in a fully remote role. This is an exciting opportunity for a technically curious and solutions-oriented professional looking to apply machine learning in a meaningful, real-world setting.

About the Role
In this role, you'll be instrumental in developing and implementing machine learning models from the ground up. Working USA business hours (EST), you'll collaborate with a cross-functional team to solve complex problems, build insightful dashboards, and apply innovative algorithms that drive decisions in a healthcare context.

Key Responsibilities

• Build and implement machine learning models using Random Forest, Gradient Boosting, AutoML, and other techniques

• Conduct in-depth data analysis and feature engineering to improve model accuracy

• Validate and clean data for model readiness

• Present insights and recommendations clearly to stakeholders

• Collaborate with teams to embed models into existing systems and workflows

• Design and develop dashboards using Python libraries such as Dash, Streamlit, Panel, and Bokeh

• Deliver ongoing reports on model effectiveness and business value

• Apply ML methodologies to healthcare-specific use cases

What You’ll Bring

• 1–2 years’ experience building and deploying machine learning models

• Strong problem-solving and programming skills

• Proficiency in Python, especially for data analysis and dashboard creation

• Knowledge of ML algorithms like Random Forest, Gradient Boosting, and AutoML

• Ability to articulate model development processes, feature engineering, and methodologies

• Background in data science or engineering; healthcare experience is advantageous

Nice to Have

• Experience with actuarial analysis

• Performance in Kaggle competitions

What’s On Offer

• Fully remote opportunity for South African professionals

• USA working hours: 15h00 – 24h00 SAST (subject to daylight saving adjustments)

• Opportunity to work on impactful healthcare challenges with modern ML tools

• Role requires a fibre internet connection (min 25 Mbps upload/download) and a backup power solution (UPS or solar)

Company Culture
WatersEdge Solutions is a trusted recruitment partner connecting innovative professionals with forward-thinking global companies. We pride ourselves on a supportive, tech-savvy work culture that values collaboration, clarity, and continuous improvement.

If you have not been contacted within 10 working days, please consider your application unsuccessful. 

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Network Recruitment IT Branch Manager (C# | Java | Python | Angular | React | Mobile) at Network Recruitment | Are you a tech visionary ready to shape the future of AI in financial services? A leading, innovation-driven consulting firm with specialisation with financial institutions (yes, the one known for its awesome culture ) is on the hunt for a seasoned AI Specialist with 4+ years of experience . The company is based in Johannesburg. What you'll be doing: You’ll play a key role in building and deploying cutting-edge AI and machine learning solutions that have a direct impact on real-world business outcomes. Think smarter systems, faster decision-making, and tech that actually makes a difference. What we're looking for: Strong expertise in Python or Java Hands-on experience with AI and ML models Proven ability to take AI solutions from concept to production A curious mind with a passion for turning data into action Strong working experience with AWS What's in it for you? Competitive salary with bi-annual performance bonuses Hybrid work option (3 days in office) Flexible work options and a supportive team culture Great coffee, need I say more Apply now or send me an email to #AIJobs #Machine Learning #Tech Jobs #Johannesburg Jobs #Python Jobs #Java Jobs #Artificial Intelligence #Now Hiring Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Consulting, and Finance Industries Financial Services, Banking, and IT Services and IT Consulting Referrals increase your chances of interviewing at Network Recruitment by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. Johannesburg, Gauteng, South Africa 1 week ago Sandton, Gauteng, South Africa 2 days ago Midrand, Gauteng, South Africa 1 month ago Centurion, Gauteng, South Africa 2 weeks ago Johannesburg, Gauteng, South Africa 3 months ago City of Johannesburg, Gauteng, South Africa 2 weeks ago City of Johannesburg, Gauteng, South Africa 3 weeks ago Johannesburg, Gauteng, South Africa 4 hours ago Johannesburg, Gauteng, South Africa 1 week ago Johannesburg Metropolitan Area 1 week ago Data Engineer I - Quantum Black, AI by Mc Kinsey Centurion, Gauteng, South Africa 2 weeks ago Johannesburg, Gauteng, South Africa 1 week ago Johannesburg, Gauteng, South Africa 1 day ago Johannesburg, Gauteng, South Africa 1 week ago Sandton, Gauteng, South Africa 2 days ago Customer Engineer III, Data and AI, Google Cloud Johannesburg, Gauteng, South Africa 1 month ago Pretoria, Gauteng, South Africa 2 days ago Johannesburg, Gauteng, South Africa 5 days ago Johannesburg Metropolitan Area 1 week ago Johannesburg, Gauteng, South Africa 1 week ago Johannesburg Metropolitan Area 1 week ago Johannesburg, Gauteng, South Africa 1 day ago Johannesburg, Gauteng, South Africa 5 days ago Johannesburg, Gauteng, South Africa 1 day ago Sandton, Gauteng, South Africa 4 weeks ago 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

Get AI-powered advice on this job and more exclusive features. Direct message the job poster from Network Recruitment IT Branch Manager (C# | Java | Python | Angular | React | Mobile) at Network Recruitment | Are you a tech visionary ready to shape the future of AI in financial services? A leading, innovation-driven consulting firm with specialisation with financial institutions (yes, the one known for its awesome culture ) is on the hunt for a seasoned AI Specialist with 4+ years of experience . The company is based in Johannesburg. What you'll be doing: You’ll play a key role in building and deploying cutting-edge AI and machine learning solutions that have a direct impact on real-world business outcomes. Think smarter systems, faster decision-making, and tech that actually makes a difference. What we're looking for: Strong expertise in Python or Java Hands-on experience with AI and ML models Proven ability to take AI solutions from concept to production A curious mind with a passion for turning data into action Strong working experience with AWS What's in it for you? Competitive salary with bi-annual performance bonuses Hybrid work option (3 days in office) Flexible work options and a supportive team culture Great coffee, need I say more Apply now or send me an email to #AIJobs #Machine Learning #Tech Jobs #Johannesburg Jobs #Python Jobs #Java Jobs #Artificial Intelligence #Now Hiring Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Information Technology, Consulting, and Finance Industries Financial Services, Banking, and IT Services and IT Consulting Referrals increase your chances of interviewing at Network Recruitment by 2x Sign in to set job alerts for “Machine Learning Engineer” roles. Johannesburg, Gauteng, South Africa 1 week ago Sandton, Gauteng, South Africa 2 days ago Midrand, Gauteng, South Africa 1 month ago Centurion, Gauteng, South Africa 2 weeks ago Johannesburg, Gauteng, South Africa 3 months ago City of Johannesburg, Gauteng, South Africa 2 weeks ago City of Johannesburg, Gauteng, South Africa 3 weeks ago Johannesburg, Gauteng, South Africa 4 hours ago Johannesburg, Gauteng, South Africa 1 week ago Johannesburg Metropolitan Area 1 week ago Data Engineer I - Quantum Black, AI by Mc Kinsey Centurion, Gauteng, South Africa 2 weeks ago Johannesburg, Gauteng, South Africa 1 week ago Johannesburg, Gauteng, South Africa 1 day ago Johannesburg, Gauteng, South Africa 1 week ago Sandton, Gauteng, South Africa 2 days ago Customer Engineer III, Data and AI, Google Cloud Johannesburg, Gauteng, South Africa 1 month ago Pretoria, Gauteng, South Africa 2 days ago Johannesburg, Gauteng, South Africa 5 days ago Johannesburg Metropolitan Area 1 week ago Johannesburg, Gauteng, South Africa 1 week ago Johannesburg Metropolitan Area 1 week ago Johannesburg, Gauteng, South Africa 1 day ago Johannesburg, Gauteng, South Africa 5 days ago Johannesburg, Gauteng, South Africa 1 day ago Sandton, Gauteng, South Africa 4 weeks ago 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

Overview

Hi, we’re MoonPay. We’re here to onboard the world to the decentralized economy.

Why? Because crypto and blockchain aren’t just technologies—they’re tools for global financial empowerment. They give people control over their money, their digital assets, and their future, unlocking opportunities that traditional systems have kept out of reach.

What We Do

At MoonPay, we’re building the infrastructure that powers this new financial system. We make it easy for anyone, anywhere, to buy, sell, and trade crypto using everyday payment methods like cards, Apple Pay, PayPal, Revolut and Venmo. We provide simple tools to send, receive, and manage stablecoins, so anyone can participate in the crypto economy confidently.

Trusted by nearly 30 million customers and over 500 companies, our secure, enterprise-grade platform is driving mainstream crypto adoption worldwide.

We collaborate with innovative brands and projects to build secure, scalable solutions for a blockchain-powered future. And we’re committed to doing it right—fully licensed in the U.S. and regulated across the UK, EU, Canada, and Australia—because trust and compliance are non-negotiable.

But we’re just getting started. We’ve launched a consumer app that makes crypto accessible, intuitive, and usable for everyone, and it’s growing fast. We’re iterating every day to make it the best it can be.

If you believe financial freedom should be for everyone—if you believe in building a fairer, more open financial system—we want you with us. To build systems that benefit all, we need contributions from all, regardless of background.

Come build the future of payments and the decentralized economy with MoonPay. Let’s make financial freedom and autonomy the new normal.

About the Opportunity

Our engineering discipline builds the technology that enables MoonPay to learn quickly and scale easily. We organize in small cross-functional squads of 4-6 engineers and an embedded Product Manager and Product Data Scientist. We currently have squads across Crypto / NFT / Payments / FinCrime / KYC / Core Product and others. For this role, the initial focus will be on working on our FinCrime products, while mastering other product areas to then spearhead ML and AI adoption in the company.

What you will do

• Build and integrate data pipelines for ingesting data, processing and serving features in real-time in a high throughput/low latency environment
• Support multiple data models that serve critical data for FinCrime products (ML models, risk engine, etc.)
• Own our Feature Store development, expanding our feature engineering capabilities for stateless and stateful data for both offline and online serving
• Enhance our monitoring capabilities, adding new data alerts for drift, anomalies, latency, etc
• Analyze large datasets using SQL, Apache Beam and Polars to surface features
• Help build AI-powered automation tools or pipelines and propose improvements across the company
• Maintain and improve our existing codebase, expanding our internal Feature Store and ML libraries and pipelines

What you will be working with/on

• Apache Beam
• Dataflow
• BigTable
• Redis
• BigQuery
• Python, Polars, Pandas and Numpy
• ML feature engineering for fraud prevention
• FastAPI, Docker, Kubernetes
• Kubeflow and Airflow
• Vertex AI
• Pydantic
• DataDog
• Github

About You

• Experienced in Data Engineering at leading Fintech startups or fast growing tech companies
• Curious about Machine Learning and with strong fundamentals about data modelling for feature generation
• Experienced with some of our tech stack, or are confident you can cross train and up skill quickly
• Understand data structures, pipelines and big data processing for real-time consumption
• Real world experience working with feature stores (in-house or vendor based e.g. Tecton)
• Experienced with Cloud Native applications such as Google Cloud or similar e.g. AWS, Azure

We’re looking for people who live our core values, those who strive for excellence and want to leave a lasting legacy on the global financial system. Our values:

• B - Be Hungry
• L - Level Up
• O - Own It
• C - Crypto Curious
• K - Kaizen

What’s in it for you

• Competitive salary package
• Equity package: We believe financial freedom starts with our employees, so all employees have ownership at MoonPay
• Pay for performance equity bonus: Those who drive outsized outcomes receive outsized rewards
• Unlimited holidays: We give you the autonomy to choose when to work (and when to switch off)
• Hybrid working schedule: Work fully remotely or your nearest Moonbase, the choice is yours
• Private Healthcare benefits: To protect you and your loved ones
• Enhanced parental leave: So you can spend more time with your loved ones without a second thought
• Annual training budget: We support your training journey every step of the way
• Home office setup allowance: Create the home office of your dreams
• Remote working allowance: Those working fully remotely get a little extra for utilities
• Monthly budget to spend on our products and zero fee crypto transactions: Cultivate your inner DEGEN
• Employee referral programme: Great people know great people, refer them to receive 10K in USDC
• Regular remote company offsites: Meet your colleagues regularly for high impact in person sessions and hackathons
• Working in a disruptive and fast-growing company where excellence is rewarded

What’s it like to work at MoonPay?

At MoonPay, you’ll work alongside driven, resourceful people who are passionate about excellence in everything they do. Kaizen is more than just a saying here, it’s a mindset. We encourage you to think big, take risks, and push the boundaries of what’s possible, knowing you have the support of a team that wants to see you grow. We’re listed in the Sunday Times best places to work guide and consistently strive to provide an environment where everyone feels they can their best work.

Whether you’re remote or collaborating with teammates around the world, you’ll find opportunities here to do the best work of your career while shaping the future of the decentralized economy.

Commitment To Diversity

Research has shown that women are less likely than men to apply for this role if they do not have experience in 100% of these areas. Please know that this list is indicative, and that we would still love to hear from you even if you feel that you are only a 75% match. Skills can be learnt, diversity cannot.

Please let us know if you require any accommodations for the interview process, and we’ll do our best to provide assistance.

At MoonPay we believe that every voice matters. We strive to create a mindful and respectful environment where everyone can bring their authentic self to work, and experience a culture that is free of harassment, racism, and discrimination. That’s why we are committed to diversity and inclusion in the workplace and are a proud equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, protected veteran status or any other characteristic protected by law. This policy applies to all employment practices within our organization, including, but not limited to, hiring, recruiting, promotion, termination, layoff, and leave of absence. MoonPay is also committed to providing reasonable accommodations in our job application procedures for qualified individuals with disabilities. Please inform our Talent Team if you need any assistance completing any forms or to otherwise participate in the application process.

Please be aware that MoonPay does not request an AI-led interview without seeing a recruiter or team member from MoonPay on video call. We won’t ask for your personal identification documents or any money from you during your interview process with us. Be fraud smart! If you receive an email - claiming to be from MoonPay - but from an email address ending in anything other than @moonpay.com, please be aware that this is not us.

Job details

• Seniority level: Not Applicable
• Employment type: Full-time
• Job function: Information Technology
• Industries: Transportation, Logistics, Supply Chain and Storage

Location: Johannesburg, Gauteng, South Africa

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