354 Natural Language Processing jobs in South Africa

• Collaborate with the Data Science and Analytics team to support data-driven insights, measurement, monitoring, and decision-making.
• Apply advanced analytical techniques to develop predictive and prescriptive models that drive value across business functions.
• Work across the full data science lifecycle, from problem definition and business understanding to model development and deployment.
• Perform data preprocessing, feature engineering, hypothesis testing, and machine learning model training.
• Deploy models into production, monitor performance, and refine solutions to ensure continuous improvement and business impact.

• Bachelors Degree with Honours, Masters, or a Doctorate in quantitative disciplines, such as Actuarial Science, Statistics, Computer Science, Engineering, or Mathematics.
• Relevant professional certifications in data science and associated technologies (for example, Python, Azure, AWS, Spark, big data, machine learning, and cloud platforms).
• Minimum 5 years of practical experience leading or actively participating in data science projects.
• Strong command of Python machine learning libraries and tools (including NumPy, Pandas, Matplotlib, and SciPy) and experience using Jupyter notebooks.
• Advanced SQL capabilities and proven experience handling extensive datasets.
• Proven track record of leveraging machine learning methods to address practical challenges.
• Familiarity with Agile frameworks and experience collaborating in Agile teams.
• Demonstrated success in deploying data science models or data-driven solutions into production environments.

• Develop and deploy predictive modelling and machine learning solutions.
• Collaborate with stakeholders to define business challenges and identify analytical opportunities.
• Conduct data cleaning, transformation, feature engineering, and rigorous hypothesis testing.
• Work with engineering teams to build data pipelines and access large-scale structured and unstructured data.
• Translate data science solutions into practical business applications.
• Create impactful visualisations and reports to communicate insights to both technical and non-technical stakeholders.
• Monitor and refine models to ensure performance and business relevance over time.

• Minimum:
  • Honours, Masters, or PhD in a quantitative discipline (e.g. Actuarial Science, Mathematics, Computer Science, Engineering, and Statistics).
  • 56 years of hands-on experience in data science and analytics roles.
  • Strong Python and SQL proficiency, including libraries such as NumPy, Pandas, SciPy, and Matplotlib.
  • Experience working with Jupyter Notebooks and in Agile development environments.
  • Proven ability to operationalise machine learning models at scale.
• Preferred:
  • Familiarity with cloud platforms (e.g. Azure and AWS), Spark, and big data tools.
  • Professional certifications in data science and analytics technologies.
  • Experience with data visualisation tools such as Power BI, Tableau, or Kibana.
• Key Competencies:
  • Advanced analytical and problem-solving skills.
  • Strong communication skills, with the ability to explain technical concepts to diverse audiences.
  • Business acumen and the ability to align data solutions with strategic objectives.
  • Initiative, adaptability, and a strong sense of accountability.
  • Ability to work independently as well as collaboratively within cross-functional teams.

Business Segment: Insurance & Asset Management

Location: ZA, GP, Roodepoort, Ellis Street 4

To support Pricing Head and COO with the following:

Predicting Modelling: Identify and Assess service providers performance and efficiencies and recommend service providers’ management strategy solution.

Driving efficiencies by developing and implementing:

• Dynamic write-off models
• Fraud Detection models
• Claimsfast tracking models
• Salvage and Recoveries models
• Develop and implement monitoring reports for the COO and other operational models

Minimum Qualifications
3-year BSc with Actuarial/Mathematics/Statistics majors
Honours will be an added advantage

Experience Required

Minimum 3-5 years of financial service or analytics experience
At least 3 years of Data Analytics, Machine Learning Models modelling
Advanced Experience in SAS, SQL, Python, R, and Other general coding skills and will be advantages.
Experience of any visualisation platforms such Power BI, Qlik-view and other general platforms will be an advantage
Knowledge of variety of machine learning techniques (Clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.

• Analytical thinking abilities
• Communication skills – excellent written, verbal and presentation skills
• Disciplined with high level of integrity, professionalism, respect
• Trustworthiness
• Self-motivated and positive attitude
• Team player
• Business Acumen
• Understanding of short-insurance business principles.
• Data mining skills, data visualisation and interpretation
• Experience in machine learning algorithms
• Experience in pricing will be an advantage

• Collect, extract, and compile data from multiple sources, ensuring accuracy and completeness.
• Clean and transform raw data into structured datasets for analysis.
• Identify and resolve data quality issues, inconsistencies, and anomalies.
• Work with SQL, Python, and BigQuery, while staying up to date with new trends and tools in data analytics.
  
  

• Perform exploratory and statistical analysis to identify patterns, trends, and relationships.
• Use data visualization techniques to interpret and present findings clearly.
• Analyse large datasets to deliver actionable insights and recommendations.
• Support scorecard development, maintenance, testing, and reporting.
• Provide input into credit policy proposals and client limit management through data-driven analysis.
  
  

• Collaborate with stakeholders to understand business requirements and translate them into analytical solutions.
• Provide analytical support for initiatives such as market analysis, customer segmentation, and performance tracking.
• Identify opportunities to improve processes, drive efficiencies, and optimize revenue.
  
  

• Keep up with best practices, emerging technologies, and industry trends in data science and analytics.
• Expand expertise in statistical analysis, data modeling, and visualization tools.
• Actively participate in professional development through training, workshops, and knowledge sharing.
  
  

• Bachelor’s or Master’s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or a related field.
• 3+ years’ proven experience as a Data Scientist or in a similar role, ideally within credit or financial services.
• Proficiency in GCP (Google Cloud Platform), BigQuery, SQL, Python, R, and data visualization tools such as Google Looker.
• Strong analytical and problem-solving skills, with the ability to work with large datasets.
• Experience in statistical analysis and data modeling.
• Excellent communication and presentation skills.
• Solid working knowledge of Microsoft Excel and other data manipulation tools.
• Familiarity with data governance and awareness of data privacy regulations is advantageous.

As a Data Scientist you will have exposure to many aspects of the business, and make direct impact to the bottom line. You will be accountable for interfacing with various teams throughout the business to derive a deep understanding of underlying phenomena that impact portfolio performance, develop better features to improve the performance of our predictive models, and better understand the links between client interventions and behaviour. You will also innovate to improve processes, algorithms, methods, product constructs, designs, and analyse experiments to learn about our clients and explore opportunities for portfolio improvement such as growth, stability, and revenue.

You will

• Analyse, transform, augment and build datasets to convert financial and behavioural data into features and dimensions that allow us to more easily and accurately extract insights.
• Use your coding skills to contribute to our team tooling and automate processes as much as possible.
• Design and develop models of our real world systems and client behaviours to help inform our decision making. This includes, but is not limited to, forecasting, simulating products or systems, testing decline strategies, and optimising client experience.
• Analyse end user requirements to understand and communicate what our stakeholders (for example, fellow analysts, portfolio managers, or partners) need, and what we can deliver to match those expectations.
• Derive and communicate insights to our stakeholders.

You will need

• A bachelor's degree with a strong quantitative component (e.g. Economics, Physics, Engineering, Software engineering, etc.).
• Minimum 3-5 years of experience filling a similar role in Finance & Technology.
• Strong data wrangling skills using SQL and coding in python.
• An ability to interpret problems, and simplify them to their essentials.
• The desire to innovate, be creative and work on challenging problems.

Bonus if you have

• Experience working in fintech, specifically with lending products.
• Experience working with cloud computing.
• Personal projects you have worked on that you can showcase.
• Experience with software engineering.
• Experience in communicating complex concepts simply and clearly.

We ask a lot of each other at JUMO, but we give a lot too.

You will love

• Collaborating with smart, engaging people in an inspiring work environment
• Working for impact
• Growing and learning continuously, with loads of encouragement and support
• Boldly taking risks as we navigate new challenges
• Being autonomous and empowered to lead
• A stack of leading-edge technologies

Remote First

You will be based in South Africa. We operate on a remote first working approach where working remotely is our default way of working. Our environment is designed to foster innovation and enable collaboration. We have co-working spaces available in Cape Town for collaboration and connection and for the use of those who value and want to work out of an office. You have flexibility where to work from, as long as you have access to a reliable connection and are set up to work remotely.

Diversity and Inclusion

At JUMO, we firmly believe that diversity strengthens our teams. We are dedicated to fostering an inclusive recruitment process that cultivates an environment where all individuals can be authentic, collaborate, and thrive.

Job Details

Job Location : South Africa

Salary Range : Undisclosed

About Us : Love Justice International (LJI) is a Christian nonprofit organization and our mission is sharing the love of Jesus Christ by fighting the world’s greatest injustices. We do this in two primary ways: through our expanding anti-human trafficking work and by caring for orphaned and abandoned children. We are seeking faithful, compassionate, thoughtful problem-solvers who are able to think deeply and carefully about how we can share Christ's love by fighting injustice. You can make more money elsewhere, and probably find better ways to live an easier, more comfortable life. We see this work as more than just a job, but as a calling to that mission. If you are called to our mission and want to find out how you can fit into our work, apply today!

Love Justice International is a certified Best Christian Workplace in 2021 - 2024. Clickhere for more information about us.

Position Overview : LJI adopts a data-centric and evidence-based approach to all aspects of our work. For our anti-trafficking program, we collect, verify, and analyze data about victims and suspected traffickers, using our own software, which helps to provide insight into traffickers’ strategies and to evaluate our work. For our children’s ministry, we implemented a comprehensive assessment strategy, aimed at measuring 14 different developmental outcomes in our children, including academic performance, emotional stability, and pro-social behavior, comparing them to control groups in Nepal.

The primary duty of the Data Scientist is to bring scientific and statistical methodologies to bear on the evaluation and execution of key program strategies. The Data Scientist will report to the President. The position is based in South Africa. All candidates should be willing to travel one to two months per year (spread over multiple shorter trips).

Primary Duties and Responsibilities :

• Help build and continually improve predictive assessments used for hiring in a variety of positions
• Finding ways to objectively measure the positive outcomes in children in our homes against the wider population.
• Helping us maximize the effective and intelligent use of statistical tools in analyzing our anti-trafficking data and migration survey data in order to help us more effectively prevent human trafficking and lead people toward safe and prosperous foreign employment.
• Using scientific and mathematical tools to optimize decision-making and policy formulation in all areas of our work.

The duties listed above are conducted within a work culture that is striving to emulate Christ and make him first and central. Staff should agree with the following ideas included in what it means to us to Abide in Christ (our first Global Value):

• Our Primary Identity is in Christ
• We Believe God Is Sovereign Over Injustice
• We Are Made, Called, and Led By Christ
• We Commit to Connect with Jesus
• Prayer Should Be Central To Our Work
• Our Conduct Is Our Testimony

Qualifications :

• Mature Christian faith and agreement with our Global Value to “Abide in Christ”
• Knowledge, understanding, and agreement with how the Christian Gospel ministers to “the least of these” (Matthew 25:40) and guides us in our mission
• Agreement with our Core Value “Be the Kingdom”(both in the execution of our mission and in our personal lives)
• Acknowledgement of ourStatement of Faith
• Excellent oral and written communication skills
• Strong analytical and problem-solving skills, capable of assessing complex issues and finding systematic solutions
• Ability to multi-task and manage various projects simultaneously
• A master's degree or higher (doctoral degree preferred) in data science, research methods, statistics in the social sciences, or a related field
• Proficiency in Python, R or an equivalent programming language

Application Process: We will continue to invite applications for this position until a new Data Scientist has been hired. We welcome applications continuously, as we actively seek exceptional candidates for this position. Candidates will submit a letter of interest and CV when they submit their applicationhere . Nominations, inquiries, and questions concerning this search may be directed to

Please allow us 1-2 weeks to process your application. Thank you for your interest!