338 Natural Language Processing jobs in South Africa
Data Scientist: Machine Learning
Posted today
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Job Description
Responsibilities:
- 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.
Required:
- 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.
Senior Data Scientist - Machine Learning
Posted today
Job Viewed
Job Description
About the Role:
Youll work across the full data science lifecyclefrom understanding business needs and refining problem statements to data preparation, model development, testing, deployment, and performance monitoring. Your work will support data-led strategies, operational efficiency, and intelligent decision-making through automation and advanced analytics.
Key Responsibilities:
- 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.
Requirements:
- 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.
Ready to use data to make an impact?
Join a dynamic, forward-thinking environment where your expertise will directly contribute to innovation and strategic growth. Apply now and be part of the data-driven future.
Note: This position is open to candidates with strong technical capabilities and a proven track record in solving real-world problems with data.
Senior Data Scientist / Data Scientist
Posted 13 days ago
Job Viewed
Job Description
At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!
impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal, and Fanatics, visit .
Your Role at Impact.com:We are seeking a talented Senior Data Scientist / Data Scientist with a passion for working with generative AI models such as large language models (LLMs) to join our team. You will be with a Senior Data Scientist within a cross-functional squad on developing and fine-tuning AI models to support influencer marketing activities, providing actionable insights and recommendations through data analysis and modeling to enhance brand/partner discovery capabilities, contracting, content creation, and performance analysis. Your work will play a crucial role in enabling brands and partners to achieve their goals faster and better, proving that a data-driven approach, and the synergy of AI and human intelligence can drive exceptional results in the digital connected economy.
What You'll Do:- AI Model Development: Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing.
- Data Analysis: Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape.
- Discovery: Develop algorithms for discovering and recommending suitable creators, influencers, and affiliates based on brand requirements, product offerings, and market trends.
- Process Optimization: Create models to streamline the contracting and negotiation process between brands and influencers.
- Content Creation: Assist in generating content ideas and strategies using AI-driven insights to enhance engagement and reach.
- Performance Analysis: Build predictive models to evaluate the success of marketing campaigns and provide recommendations for improvement.
- Collaboration: Work closely with product managers, marketers, and engineering teams to integrate AI solutions into the platform.
- Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.
- Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Technical Expertise:
- Working knowledge of Python
- Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn.
- Well-developed knowledge of machine learning generally, and deep learning specifically.
- Experience with the use of natural language processing (NLP) techniques for textual analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Familiarity with SQL
- Knowledge with Big Data processing tech (e.g., BigQuery, Databricks, Spark, Snowflake, Redshift, Hadoop) will be an added advantage.
- Analytical Skills: Problem-solving abilities and exposure to modeling and analyzing large datasets to extract meaningful insights and inform decisions.
- Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical audiences.
- Team Player: Ability to work collaboratively in a cross-functional team environment.
- Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
- Experience: At least 2 - 4 years in data-related individual contributor roles.
- Previous experience in a startup or fast-paced environment is desirable.
- Unlimited PTO policy
- Take the time off that you need. We are truly committed to a positive work-life balance, recognizing that it is important to be happy and fulfilled in both.
- Training & Development
- Learning the advanced partnership automation products.
- Medical Aid and Provident Fund
- Group schemes with Discovery & Bonitas for medical aid.
- Group scheme with Momentum for provident fund.
- Stock Options
- 3-year vesting schedule pending Board approval.
- Primary caregiver leave
- Internet Allowance
- Flexible work hours
- Casual work environment
- Technology stipend
impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.
#LI-Hybrid
#J-18808-LjbffrData Scientist/Senior Data Scientist
Posted 13 days ago
Job Viewed
Job Description
At impact.com we are passionate about our people, our technology, and are obsessed with customer success. Working together enables us to grow rapidly, win, and serve the largest brands in the world. We use cutting edge technology to solve real-world problems for our clients and continue to pull ahead of the pack as the leading SaaS platform for businesses to automate their partnerships and grow their revenue like never before. We have an entrepreneurial spirit and a culture where ambition and curiosity is rewarded. If you are looking to join a team where your opinion is valued, your contributions are noticed, and enjoy working with fun and talented people from all over the world, then this is the place for you!
impact.com, the world’s leading partnership management platform, is transforming the way businesses manage and optimize all types of partnerships—including traditional rewards affiliates, influencers, commerce content publishers, B2B, and more. The company’s powerful, purpose-built platform makes it easy for businesses to create, manage, and scale an ecosystem of partnerships with the brands and communities that customers trust to make purchases, get information, and entertain themselves at home, at work, or on the go. To learn more about how impact.com’s technology platform and partnerships marketplace is driving revenue growth for global enterprise brands such as Walmart, Uber, Shopify, Lenovo, L’Oreal and Fanatics, visit .
Your Role at Impact.com:We are seeking a talented Senior Data Scientist / Data Scientist with a passion for working with generative AI models such as large language models (LLMS) to join our team. You will be with a Senior Data Scientist within a cross-functional squad on developing and fine-tuning AI models to support influencer marketing activities, providing actionable insights and recommendations through data analysis and modeling to enhance brand/partner discovery capabilities, contracting, content creation, and performance analysis. Your work will play a crucial role in enabling brands and partners to achieve their goals faster and better, proving that a data-driven approach, and the synergy of AI and human intelligence can drive exceptional results in the digital connected economy.
What You'll Do:- AI Model Development: Design, develop, and fine-tune machine learning models and large language models (LLMs) specifically for targeted applications in digital marketing.
- Data Analysis: Analyze large datasets to extract actionable insights and trends relevant to the partnership landscape.
- Discovery: Develop algorithms for discovering and recommending suitable creators, influencers, and affiliates based on brand requirements, product offerings and market trends.
- Process Optimization: Create models to streamline the contracting and negotiation process between brands and influencers.
- Content Creation: Assist in generating content ideas and strategies using AI-driven insights to enhance engagement and reach.
- Performance Analysis: Build predictive models to evaluate the success of marketing campaigns and provide recommendations for improvement.
- Collaboration: Work closely with product managers, marketers, and engineering teams to integrate AI solutions into the platform.
- Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning, and continuously explore new techniques and technologies to enhance our product offerings.
- Educational Background: Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field.
- Technical Expertise:
- Working knowledge of Python
- Experience with machine learning frameworks/libraries such as TensorFlow, PyTorch, Apache MLlib, or Scikit-learn.
- Well-developed knowledge of machine learning generally, and deep learning specifically.
- Experience with the use of natural language processing (NLP) techniques for textual analysis.
- Experience with data visualization tools (e.g., Tableau, Power BI, Looker).
- Familiarity with SQL
- Knowledge with Big Data processing tech (e.g., BigQuery, Databricks, Spark, Snowflake, Redshift, Hadoop) will be an added advantage
- Analytical Skills: Problem-solving abilities and exposure to modeling and analyzing large datasets to extract meaningful insights and inform decisions.
- Communication: Excellent written and verbal communication skills, with the ability to present complex technical concepts to non-technical audiences.
- Team Player: Ability to work collaboratively in a cross-functional team environment.
- Adaptability: Willingness to learn new skills and technologies, and to adapt to the evolving needs of the business.
- Experience : At least 2 - 4 years in data-related individual contributor roles
- Previous experience in a startup or fast-paced environment is desirable.
- Unlimited PTO policy
- Take the time off that you need. We are truly committed to a positive work-life balance, recognising that it is important to be happy and fulfilled in both
- Training & Development
- Learning the advanced partnership automation products
- Medical Aid and Provident Fund
- Group schemes with Discovery & Bonitas for medical aid
- Group scheme with Momentum for provident fund
- Stock Options
- 3-year vesting schedule pending Board approval
- Primary caregiver leave
- Internet Allowance
- Flexible work hours
- Casual work environment
- Technology stipend
impact.com is proud to be an equal opportunity workplace. All employees and applicants for employment shall be given fair treatment and equal employment opportunity regardless of their race, ethnicity or ancestry, color or caste, religion or belief, age, sex (including gender identity, gender reassignment, sexual orientation, pregnancy/maternity), national origin, weight, neurodivergence, disability, marital and civil partnership status, caregiving status, veteran status, genetic information, political affiliation, or other prohibited non-merit factors.
#LI-Hybrid
#J-18808-LjbffrSenior data scientist / data scientist
Posted today
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Job Description
Data scientist/senior data scientist
Posted today
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Job Description
Senior data scientist / data scientist
Posted today
Job Viewed
Job Description
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About the latest Natural language processing Jobs in South Africa !
Data Scientist
Posted 1 day ago
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Job Description
Cape Town/Johannesburg Posted 3 months ago Posted on Data Science
Founded in South Africa in 2007, our client is a globally recognised organisation who build mobile technologies to improve the well-being of people in low and middle-income countries. Working with governments, international NGOs, foundations and social enterprises to create and deliver essential information and vital services.
Since then they have;
● Established the largest maternal mHealth programme
● Run the world’s largest COVID awareness whatsapp chatbot
● Had projects which span topics such as HIV and TB management, global smoking cessation, diabetes and gender based violence (GBV).
● Have expanded to support health workers in managing the health burden,focused on utilising the wide presence of mobile devices even in low income demographics.
Job Overview
As part of our Data Science team, you will work closely with cross-functional teams, including DataOps Engineering, to extract meaningful insights from large and complex datasets, develop visualizations to communicate these insights, provide data-driven recommendations to measure impact and improve services, and contribute to new machine learning and AI initiatives. Analyses and tools developed will be tied to measurable organizational outcomes and impact on health and policy challenges, including those faced by South Africa and the Global South. The suitable candidate would ideally have an interest in developing (or continuing to develop) expertise in combining digital technologies with evidence-based large-scale behaviour change.
Key Focus Areas
● Advanced analytics
○ Use SQL to enable and action dashboard development and ad-hoc reporting requests.
○ Use Python, Machine Learning, and AI to extract other insights or to build new chatbot features.
○ Review chatbots to ensure data gets captured as needed.
○ Use Tableau and Looker Studio to develop dashboards.
○ Collaborate with DataOps Engineering on automating recurring analysis and reporting workflows to improve efficiency.
○ Develop predictive and prescriptive analytics models to forecast health or behavioral outcomes.
○ Apply a range of Machine Learning and AI techniques, including supervised, unsupervised, and reinforcement learning, while optimizing workflows with a focus on key performance metrics like accuracy, precision, and recall.
○ Experiment with, implement and evaluate generative AI methodologies, such as Large Language Models (LLMs), transformers, and RAG techniques.
● Cross-disciplinary collaboration
○ Bridge the gap between Data Science and other teams to maximize the utility of our diverse skill sets.
○ Engage with internal stakeholders, such as funders or research partners, to align insights with strategic goals.
○ Work closely with DataOps Engineering to align data pipelines, MLOps infrastructure, and ETL processes with data science workflows.
● Team growth and self-growth
○ Play an active role in contributing to, and improving, the Data Science team's ways of work, and roadmap for the future.
○ Keep up to date with emerging technologies in the Data Science, Machine Learning, and AI space.
● Communication
○ Effectively communicate complex technical findings to non-technical stakeholders.
○ Communicate and collaborate with external partners when required.
○ Foster a data-driven culture by organizing regular knowledge-sharing sessions or workshops.
○ Facilitate cross-functional problem-solving sessions to align Data Science objectives with organizational needs.
● Ethical considerations:
○ Integrate ethical considerations into data science practices, ensuring responsible and unbiased use of secure data.
○ Proactively address fairness, bias mitigation, and explainability in models deployed in sensitive domains like healthcare.
● Agile methodology
○ Embrace and contribute to an agile work environment, adapting quickly to changing priorities and requirements.
Responsibilities and Duties
● Evaluate new technologies for Data Science, Machine Learning, and AI.
● Actively assist with driving the Data Science strategy within the organisation.
● Provide evidence-based recommendations to inform the strategic implementation of programmes.
● Help us understand if our projects are achieving their goals by measuring and analysing their impact.
● Drive the collection of new data and the refinement of existing data sources.
● Collaborate on implementing best practices for MLOps, including CI/CD pipelines, model monitoring, and scaling production systems, in conjunction with DataOps Engineering.
● Collaborate with DataOps Engineering on building automated impact measurement frameworks, such as A/B testing or causal inference designs.
● Cross-Disciplinary interfacing: The team is drawn from many different backgrounds. A focus area is understanding and extracting the value from these diverse skill sets and ensuring good collaboration with the Data Science team.
● Work collaboratively within the multidisciplinary teams implementing our programmes.
● Work closely with the Monitoring and Evaluation, Strategy and Experience Design, Engineering and SRE teams to design and develop monitoring tools for impact measurement.
● Define and maintain key performance indicators (KPIs) to track the success of data initiatives.
Qualifications
● A degree in Computer Science or a related field. A Master’s Degree in a related technical field (Data Science, Statistics, Math, Software Engineering, Computer Science) is preferred but not required.
● Mathematical training to graduate level (i.e., undergraduate degree in a quantitative subject).
Skills and Experience Required
● 3+ years experience working as a Data Scientist or in a similar role, with a strong focus on data analysis, data visualization, and Machine Learning and AI concepts.
● Proficient in programming languages such as Python, with a deep understanding of the principles of object-oriented programming.
● 3+ years of experience developing dashboards on Tableau, PowerBI, or similar.
● 3+ years experience with SQL.
● Strong experience with cloud platforms such as AWS, Azure, or GCP, and expertise in utilizing cloud-based data services (e.g., AWS Athena, AWS Redshift, Google BigQuery).
● Solid understanding of data modelling.
● Experience using version control systems (e.g., Git).
● Experience in delivering Data Science, Machine Learning, and AI projects to production environments using an agile and responsive approach.
● Ability to visually describe insights and data effectively using dashboarding tools like Tableau or Looker Studio.
● Familiarity with Figma for wireframing and design collaboration will be beneficial but not required.
● Familiarity with data governance, data security, and data privacy practices.
● Excellent problem-solving and research skills and the ability to troubleshoot complex data-related issues.
● Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
● Proven ability to work in a fast-paced environment, handle multiple priorities, and deliver high-quality results within deadlines.
● Experience solving difficult problems with poorly defined constraints.
● Proven ability to understand, prepare, and analyze large and complex data sets. Ability to collaborate and work with cross-functional, multi-disciplinary teams.
● Analyze data, draw insights, and prepare reports in a cohesive, intuitive manner.
● The ability to think strategically, act quickly, multi-task and work collaboratively in an environment that values creativity and flexibility.
● Coaching and mentoring.
● Experience with API development for exposing ML and AI models (e.g., FastAPI).
● Desirable: experience working with remote teams.
● Interest or experience with behaviour change theories.
● Experience in the full Data Science development lifecycle.
● Experience working with sensitive, healthcare-related data.
Job Information Status: Open Job type: Full Time Salary: Negotiable Publish date: 16 Apr 2025 Expire in: 1 month
#J-18808-LjbffrData Scientist
Posted 1 day ago
Job Viewed
Job Description
Cape Town/Johannesburg Posted 3 months ago Posted on Data Science
Founded in South Africa in 2007, our client is a globally recognised organisation who build mobile technologies to improve the well-being of people in low and middle-income countries. Working with governments, international NGOs, foundations and social enterprises to create and deliver essential information and vital services.
Since then they have;
● Established the largest maternal mHealth programme
● Run the world’s largest COVID awareness whatsapp chatbot
● Had projects which span topics such as HIV and TB management, global smoking cessation, diabetes and gender based violence (GBV).
● Have expanded to support health workers in managing the health burden,focused on utilising the wide presence of mobile devices even in low income demographics.
Job Overview
As part of our Data Science team, you will work closely with cross-functional teams, including DataOps Engineering, to extract meaningful insights from large and complex datasets, develop visualizations to communicate these insights, provide data-driven recommendations to measure impact and improve services, and contribute to new machine learning and AI initiatives. Analyses and tools developed will be tied to measurable organizational outcomes and impact on health and policy challenges, including those faced by South Africa and the Global South. The suitable candidate would ideally have an interest in developing (or continuing to develop) expertise in combining digital technologies with evidence-based large-scale behaviour change.
Key Focus Areas
● Advanced analytics
○ Use SQL to enable and action dashboard development and ad-hoc reporting requests.
○ Use Python, Machine Learning, and AI to extract other insights or to build new chatbot features.
○ Review chatbots to ensure data gets captured as needed.
○ Use Tableau and Looker Studio to develop dashboards.
○ Collaborate with DataOps Engineering on automating recurring analysis and reporting workflows to improve efficiency.
○ Develop predictive and prescriptive analytics models to forecast health or behavioral outcomes.
○ Apply a range of Machine Learning and AI techniques, including supervised, unsupervised, and reinforcement learning, while optimizing workflows with a focus on key performance metrics like accuracy, precision, and recall.
○ Experiment with, implement and evaluate generative AI methodologies, such as Large Language Models (LLMs), transformers, and RAG techniques.
● Cross-disciplinary collaboration
○ Bridge the gap between Data Science and other teams to maximize the utility of our diverse skill sets.
○ Engage with internal stakeholders, such as funders or research partners, to align insights with strategic goals.
○ Work closely with DataOps Engineering to align data pipelines, MLOps infrastructure, and ETL processes with data science workflows.
● Team growth and self-growth
○ Play an active role in contributing to, and improving, the Data Science team's ways of work, and roadmap for the future.
○ Keep up to date with emerging technologies in the Data Science, Machine Learning, and AI space.
● Communication
○ Effectively communicate complex technical findings to non-technical stakeholders.
○ Communicate and collaborate with external partners when required.
○ Foster a data-driven culture by organizing regular knowledge-sharing sessions or workshops.
○ Facilitate cross-functional problem-solving sessions to align Data Science objectives with organizational needs.
● Ethical considerations:
○ Integrate ethical considerations into data science practices, ensuring responsible and unbiased use of secure data.
○ Proactively address fairness, bias mitigation, and explainability in models deployed in sensitive domains like healthcare.
● Agile methodology
○ Embrace and contribute to an agile work environment, adapting quickly to changing priorities and requirements.
Responsibilities and Duties
● Evaluate new technologies for Data Science, Machine Learning, and AI.
● Actively assist with driving the Data Science strategy within the organisation.
● Provide evidence-based recommendations to inform the strategic implementation of programmes.
● Help us understand if our projects are achieving their goals by measuring and analysing their impact.
● Drive the collection of new data and the refinement of existing data sources.
● Collaborate on implementing best practices for MLOps, including CI/CD pipelines, model monitoring, and scaling production systems, in conjunction with DataOps Engineering.
● Collaborate with DataOps Engineering on building automated impact measurement frameworks, such as A/B testing or causal inference designs.
● Cross-Disciplinary interfacing: The team is drawn from many different backgrounds. A focus area is understanding and extracting the value from these diverse skill sets and ensuring good collaboration with the Data Science team.
● Work collaboratively within the multidisciplinary teams implementing our programmes.
● Work closely with the Monitoring and Evaluation, Strategy and Experience Design, Engineering and SRE teams to design and develop monitoring tools for impact measurement.
● Define and maintain key performance indicators (KPIs) to track the success of data initiatives.
Qualifications
● A degree in Computer Science or a related field. A Master’s Degree in a related technical field (Data Science, Statistics, Math, Software Engineering, Computer Science) is preferred but not required.
● Mathematical training to graduate level (i.e., undergraduate degree in a quantitative subject).
Skills and Experience Required
● 3+ years experience working as a Data Scientist or in a similar role, with a strong focus on data analysis, data visualization, and Machine Learning and AI concepts.
● Proficient in programming languages such as Python, with a deep understanding of the principles of object-oriented programming.
● 3+ years of experience developing dashboards on Tableau, PowerBI, or similar.
● 3+ years experience with SQL.
● Strong experience with cloud platforms such as AWS, Azure, or GCP, and expertise in utilizing cloud-based data services (e.g., AWS Athena, AWS Redshift, Google BigQuery).
● Solid understanding of data modelling.
● Experience using version control systems (e.g., Git).
● Experience in delivering Data Science, Machine Learning, and AI projects to production environments using an agile and responsive approach.
● Ability to visually describe insights and data effectively using dashboarding tools like Tableau or Looker Studio.
● Familiarity with Figma for wireframing and design collaboration will be beneficial but not required.
● Familiarity with data governance, data security, and data privacy practices.
● Excellent problem-solving and research skills and the ability to troubleshoot complex data-related issues.
● Strong communication and collaboration skills to work effectively with cross-functional teams and stakeholders.
● Proven ability to work in a fast-paced environment, handle multiple priorities, and deliver high-quality results within deadlines.
● Experience solving difficult problems with poorly defined constraints.
● Proven ability to understand, prepare, and analyze large and complex data sets. Ability to collaborate and work with cross-functional, multi-disciplinary teams.
● Analyze data, draw insights, and prepare reports in a cohesive, intuitive manner.
● The ability to think strategically, act quickly, multi-task and work collaboratively in an environment that values creativity and flexibility.
● Coaching and mentoring.
● Experience with API development for exposing ML and AI models (e.g., FastAPI).
● Desirable: experience working with remote teams.
● Interest or experience with behaviour change theories.
● Experience in the full Data Science development lifecycle.
● Experience working with sensitive, healthcare-related data.
Job Information Status: Open Job type: Full Time Salary: Negotiable Publish date: 16 Apr 2025 Expire in: 1 month
#J-18808-LjbffrData Scientist
Posted 3 days ago
Job Viewed
Job Description
Our client is looking for Data Scientist to join their team. This role reports to the Division Manager and is fully in office.
Requirements:
· 3+ years' experience in a data science environment
· Data Engineering (SQL, Microsoft Fabric, ETL/ELT pipelines, Kimball modelling, data ingestion, Data Gateways, SQL Server/PostgreSQL)
· Machine Learning & Advanced Analytics (Python, Scikit-learn, ARIMA/Prophet/LSTM, RUL prediction, Azure ML deployment)
· Business Intelligence (Power BI, DAX, M Code, ad hoc analysis, root cause analysis)
· Cloud & Web App Development (REST APIs, Azure App Services advantageous)
· Inventory & Supply Chain Analytics (demand planning, EOQ, ABC analysis advantageous)
· Ability to communicate insights effectively and engage with multiple stakeholders
Should you meet the requirements for this position, please email your CV to . You can also contact the team on XXX-XXX or visit our website . Correspondence will only be conducted with short listed candidates. Should you not hear from us within 3 days, please consider your application unsuccessful.
#J-18808-Ljbffr