21 Lead Data Scientist jobs in Placements24

• Lead and mentor a team of data scientists, providing technical guidance and project oversight.
• Design, develop, and deploy advanced machine learning models and statistical algorithms.
• Identify and explore new data sources and analytical methodologies to drive business value.
• Collaborate with product, engineering, and business teams to define data science roadmaps and priorities.
• Translate complex business problems into data science solutions.
• Develop and maintain data pipelines and ETL processes for large-scale datasets.
• Communicate complex findings and recommendations to stakeholders through clear visualizations and presentations.
• Stay at the forefront of data science and machine learning research, applying new techniques to business challenges.
• Ensure the scalability, reliability, and performance of data science solutions.
• Foster a data-driven culture and promote best practices in data science within the organization.

• Ph.D. or Master's degree in Computer Science, Statistics, Mathematics, Machine Learning, or a related quantitative field.
• Minimum of 7 years of experience in data science, with at least 2 years in a leadership or management role.
• Extensive experience with machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Hands-on experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Strong understanding of SQL and experience with various database systems.
• Excellent analytical, problem-solving, and critical thinking abilities.
• Exceptional communication, presentation, and interpersonal skills.
• Proven ability to lead teams and manage complex projects in a remote setting.
• Domain knowledge in financial services or FinTech is a significant advantage.

• Highly competitive salary and generous equity options.
• Fully remote work environment with flexible hours.
• Opportunity to lead impactful data science initiatives in a fast-paced FinTech company.
• Comprehensive health and wellness benefits package.
• Allowance for home office setup and professional development.
• Collaborative and innovative company culture.
• Unlimited vacation policy.

Our client, a forward-thinking analytics firm located in the vibrant city of George , Western Cape, is looking for an exceptional Lead Data Scientist to spearhead their data initiatives. This pivotal role involves leading a team of data professionals, defining data strategies, and driving the development of advanced analytical models to solve complex business challenges. You will work with vast datasets, employ machine learning techniques, and translate intricate findings into actionable business insights. This is an unparalleled opportunity for a seasoned data scientist who possesses strong leadership qualities and a passion for innovation. The successful candidate will be responsible for fostering a data-driven culture and mentoring team members to achieve their full potential. The role is based in our state-of-the-art facility in George .

• Lead and manage a team of data scientists and analysts, providing technical guidance and mentorship.
• Develop and implement advanced statistical models and machine learning algorithms for predictive and prescriptive analytics.
• Define and oversee data mining strategies and frameworks to extract valuable insights from complex datasets.
• Collaborate with stakeholders across various departments to understand business needs and translate them into data science projects.
• Design, build, and maintain scalable data pipelines and processing systems.
• Communicate complex analytical findings and recommendations clearly to both technical and non-technical audiences.
• Oversee the end-to-end data science project lifecycle, from data acquisition and cleaning to model deployment and monitoring.
• Evaluate and recommend new tools, technologies, and methodologies to enhance the data science capabilities.
• Ensure data quality, integrity, and compliance with relevant regulations.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.

• Master's or Ph.D. in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in data science or a related analytical role, with at least 2 years in a leadership or management capacity.
• Proficiency in programming languages such as Python or R, and associated data science libraries (e.g., scikit-learn, TensorFlow, PyTorch, pandas).
• Strong experience with SQL and working knowledge of NoSQL databases.
• Demonstrated expertise in various machine learning techniques (e.g., regression, classification, clustering, deep learning).
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent understanding of statistical analysis, experimental design, and A/B testing.
• Exceptional communication, presentation, and interpersonal skills.
• Proven ability to lead projects and manage teams effectively.
• Experience in data visualization tools (e.g., Tableau, Power BI) is a plus.

• Highly competitive remuneration package with performance bonuses.
• Comprehensive medical aid and retirement fund benefits.
• Significant opportunities for career advancement and professional development.
• A stimulating work environment with cutting-edge technology.
• Relocation assistance may be provided for qualified candidates moving to George .
• Access to extensive training and conference attendance.
• Generous annual leave allowance.
• Employee wellness programs.

Our client, a burgeoning force in the analytics sector, is actively searching for a visionary Lead Data Scientist to spearhead their data initiatives. This critical role is based in Tembisa, Gauteng , a region experiencing significant technological growth. The Lead Data Scientist will be responsible for developing and implementing advanced statistical models and machine learning algorithms to extract actionable insights from complex datasets. This position offers a unique opportunity to shape the future of data-driven decision-making within the organization, manage a team of talented data professionals, and drive innovation in predictive analytics and AI. The ideal candidate is a strategic thinker with a deep understanding of data science methodologies and a proven track record of delivering impactful results in a fast-paced environment. You will be a key player in transforming raw data into strategic business advantages.

• Lead the design, development, and deployment of sophisticated machine learning models and statistical analyses.
• Mentor and manage a team of data scientists and analysts, fostering their technical and professional growth.
• Collaborate with stakeholders across various departments to understand business needs and translate them into data science problems.
• Identify opportunities for leveraging data to improve business processes, products, and services.
• Develop and maintain data pipelines, ensuring data quality and accessibility.
• Present complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Drive the adoption of data science best practices throughout the organization.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of experience in data science, with at least 2 years in a leadership or mentoring role.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and NoSQL databases.
• Experience with big data technologies (e.g., Spark, Hadoop).
• Excellent communication, presentation, and interpersonal skills.
• Demonstrated ability to lead projects and influence decision-making.
• Experience in deploying models into production environments is highly desirable.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

Our client provides a highly competitive remuneration package, including a substantial annual bonus and a comprehensive benefits scheme. This includes excellent medical aid coverage, a generous retirement fund, and significant investment in employee training and development. You will be part of a pioneering team working with state-of-the-art technology and have the autonomy to shape major data strategies. We believe in work-life balance and offer ample vacation days and flexible work arrangements where possible within the operational framework. Opportunities for attending industry conferences and workshops are also provided, ensuring continuous professional growth. This role offers unparalleled career progression and the chance to make a tangible impact.

• Lead and mentor a team of data scientists and analysts.
• Develop and implement advanced statistical and machine learning models to address business challenges.
• Identify opportunities for data-driven improvements and new product development.
• Design and execute experiments to test hypotheses and validate model performance.
• Collaborate with engineering teams to deploy models into production environments.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Stay abreast of the latest research and techniques in data science and artificial intelligence.
• Define and track key performance indicators for data science projects.
• Ensure data quality, integrity, and security across all projects.
• Champion a data-centric culture throughout the organization.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science, with at least 2 years in a leadership role.
• Proven expertise in machine learning algorithms (e.g., regression, classification, clustering, deep learning).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Strong experience with SQL and working with large, complex datasets.
• Experience with big data technologies (e.g., Spark, Hadoop) is a plus.
• Excellent data visualization skills (e.g., Matplotlib, Seaborn, Tableau).
• Strong analytical, problem-solving, and critical thinking abilities.
• Exceptional communication and presentation skills.
• Demonstrated ability to lead and inspire a team.

Our client, a pioneering force in data analytics and machine learning, is actively seeking a highly accomplished Lead Data Scientist to spearhead their research and development initiatives. This is a fully remote position, offering the flexibility to work from anywhere within South Africa. As a Lead Data Scientist, you will guide a team of talented data professionals, driving the creation of advanced predictive models and data-driven strategies. You will collaborate with business stakeholders to understand complex challenges and translate them into actionable data science projects. This role is ideal for an individual with a proven track record in leading data science teams, a deep understanding of statistical modeling and machine learning, and a passion for extracting insights from vast datasets. Embrace the opportunity to make a significant impact in a cutting-edge, remote-first environment.

• Lead and mentor a team of data scientists, fostering a collaborative and innovative research environment.
• Design, develop, and implement sophisticated machine learning models and algorithms for predictive analytics, classification, and clustering.
• Conduct exploratory data analysis to identify trends, patterns, and opportunities within large datasets.
• Collaborate with product and engineering teams to integrate data science solutions into production systems.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical audiences.
• Define project roadmaps, manage timelines, and ensure the successful delivery of data science initiatives.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Develop and maintain data pipelines and ensure data quality and integrity.
• Contribute to the strategic direction of the company's data initiatives.
• Evaluate and select appropriate tools and technologies for data science projects.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, Physics, or a related quantitative field.
• 7+ years of experience in data science, with at least 2 years in a leadership or mentoring role.
• Proven expertise in statistical modeling, machine learning, and deep learning techniques.
• Proficiency in Python or R, along with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong experience with SQL and big data technologies (e.g., Spark, Hadoop).
• Experience with data visualization tools (e.g., Tableau, Matplotlib, Seaborn).
• Excellent understanding of experimental design and A/B testing.
• Strong communication, presentation, and interpersonal skills.
• Ability to manage multiple projects simultaneously and work effectively in a remote setting.
• Experience in cloud environments (AWS, Azure, GCP) is a plus.

Our client offers a highly competitive salary and bonus structure, reflecting your expertise and leadership. Enjoy the complete freedom of a fully remote role, enabling optimal work-life integration. We provide comprehensive health, dental, and vision insurance. Opportunities for continuous learning, attending industry conferences, and professional development are highly encouraged. Access to cutting-edge technology and resources is standard. This role is based in **Welkom, Free State, ZA**, but operates entirely remotely, allowing you to contribute from anywhere.

Our client, a cutting-edge analytics firm, is seeking an experienced and visionary Lead Data Scientist to join their team in Stellenbosch, Western Cape . This pivotal role involves leading advanced data analysis projects, developing predictive models, and extracting actionable insights from complex datasets to drive strategic business decisions. You will be responsible for mentoring a team of data scientists, defining research methodologies, and collaborating with cross-functional teams to implement data-driven solutions. The ideal candidate possesses a strong background in machine learning, statistical modeling, and a passion for uncovering hidden patterns in data. This position offers a hybrid work arrangement, allowing for collaboration in our modern Stellenbosch office while providing flexibility. If you are a passionate leader in the field of data science eager to tackle challenging problems and innovate, this is an unparalleled opportunity.

• Lead and mentor a team of data scientists in the design, development, and deployment of machine learning models and algorithms.
• Define and execute data science strategies, identifying opportunities to leverage data for business growth and efficiency.
• Conduct advanced statistical analysis, predictive modeling, and data mining on large, complex datasets.
• Develop and implement robust data pipelines and ensure data quality and integrity.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders.
• Collaborate with engineering and product teams to integrate data science solutions into existing systems and products.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence.
• Drive innovation in data analysis techniques and methodologies.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 7 years of professional experience in data science, with demonstrated leadership experience.
• Proven expertise in machine learning, statistical modeling, and data mining techniques.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience working with large datasets and distributed computing frameworks (e.g., Spark).
• Strong SQL skills and experience with various database technologies.
• Excellent communication, presentation, and interpersonal skills.
• Ability to manage complex projects and lead a team effectively in a hybrid work environment.
• Residing in or willing to relocate to the Stellenbosch, Western Cape area and comfortable with hybrid work.

• Highly competitive annual salary of Rands.
• Hybrid work model offering work-life balance.
• Opportunity to lead groundbreaking data science initiatives.
• Work in a beautiful and innovative environment in Stellenbosch, Western Cape .
• Comprehensive health insurance and retirement benefits.
• Generous professional development budget for conferences and training.
• Be part of a team driving significant business impact through data.

• Lead and mentor a team of data scientists, fostering a collaborative and high-performing environment.
• Design, develop, and deploy advanced machine learning models and statistical algorithms to solve complex business problems.
• Analyze large, complex datasets to identify trends, patterns, and opportunities for business improvement.
• Collaborate with engineering and product teams to integrate data science solutions into production systems.
• Develop and maintain data pipelines and infrastructure for efficient data processing and model training.
• Communicate complex technical findings and recommendations to both technical and non-technical stakeholders, including senior management.
• Define key performance indicators (KPIs) and metrics to evaluate the success of data science initiatives.
• Stay current with the latest research and advancements in data science, machine learning, and artificial intelligence.
• Contribute to the strategic direction of the company's data science roadmap.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of experience in data science, with a proven track record of delivering impactful data-driven solutions.
• Strong experience in leading and managing a team of data scientists.
• Expertise in machine learning techniques (e.g., regression, classification, clustering, deep learning) and statistical modeling.
• Proficiency in programming languages such as Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and presentation skills, with the ability to convey technical concepts clearly.
• Experience in the financial services industry is a plus.

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Retirement savings plan with company matching.
• Hybrid work model offering flexibility and work-life balance.
• Professional development opportunities, including conferences and training.
• Generous paid time off and company holidays.
• Access to state-of-the-art technology and resources.
• Vibrant and collaborative office environment in **Cape Town**.

Our client, a rapidly expanding fintech startup in Tembisa, Gauteng , is seeking an exceptional Lead Data Scientist to spearhead their advanced analytics initiatives. This pivotal role involves leveraging vast datasets to uncover actionable insights, develop predictive models, and drive strategic business decisions. You will be instrumental in building and mentoring a high-performing data science team, establishing best practices, and fostering a data-driven culture. This is a unique chance to shape the future of financial technology through sophisticated data analysis and cutting-edge machine learning techniques. The ideal candidate is a visionary leader with a deep understanding of statistical modeling, machine learning algorithms, and big data technologies, coupled with a strong business acumen. We are committed to empowering our team with the tools and resources needed to excel, offering a collaborative atmosphere where innovation is encouraged and impactful contributions are recognized. Your work will directly influence product development, risk assessment, and customer experience enhancement within a fast-paced and dynamic market.

• Lead the design, development, and implementation of complex machine learning models and analytical solutions to address business challenges.
• Manage and mentor a team of data scientists, providing technical guidance, performance feedback, and career development support.
• Collaborate closely with product, engineering, and business stakeholders to identify opportunities for data-driven innovation and impact.
• Define and implement data science best practices, including model validation, versioning, deployment, and monitoring.
• Develop and maintain scalable data pipelines and processing frameworks for large-scale datasets.
• Conduct advanced statistical analysis, A/B testing, and experimental design to evaluate product features and business strategies.
• Communicate complex findings and recommendations clearly and effectively to both technical and non-technical audiences.
• Stay abreast of the latest advancements in data science, machine learning, and AI, and champion their adoption where appropriate.
• Drive the exploration of new data sources and analytical methodologies to enhance business intelligence and decision-making capabilities.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Minimum of 5 years of experience in data science, with at least 2 years in a leadership or senior role.
• Proven track record of successfully delivering impactful data science projects from conception to production.
• Expertise in statistical modeling, machine learning algorithms (e.g., regression, classification, clustering, deep learning), and feature engineering.
• Proficiency in programming languages commonly used in data science, such as Python or R, and associated libraries (e.g., scikit-learn, TensorFlow, PyTorch).
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Strong understanding of data warehousing concepts and database management.
• Excellent analytical, problem-solving, and critical thinking skills.
• Exceptional communication and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
• Demonstrated ability to lead and inspire a technical team.

• Highly competitive salary and performance-based bonuses.
• Generous stock options package.
• Comprehensive health, dental, and vision insurance.
• Opportunity to work with a talented and passionate team in the exciting fintech industry.
• Professional development budget for conferences, courses, and certifications.
• Modern office space in a convenient Tembisa, Gauteng location.
• Unlimited supply of coffee and snacks.
• Potential for significant impact and career growth in a fast-paced startup environment.

• Lead and mentor a team of data scientists, fostering their professional growth and ensuring project success.
• Develop, implement, and deploy advanced machine learning models and statistical algorithms.
• Identify and interpret complex data patterns and trends to inform business strategy.
• Collaborate closely with stakeholders across various departments to understand business needs and translate them into data science solutions.
• Design and execute A/B tests and other experiments to evaluate the effectiveness of implemented solutions.
• Manage the end-to-end data science project lifecycle, from problem definition to deployment and monitoring.
• Ensure data quality, integrity, and security across all data science projects.
• Stay abreast of the latest advancements in data science, machine learning, and AI.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Contribute to the company's data strategy and roadmap.

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 7+ years of hands-on experience in data science and machine learning.
• Proven experience leading and managing a team of data scientists.
• Expertise in Python or R, including relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Pandas).
• Strong understanding of statistical modeling, experimental design, and hypothesis testing.
• Experience with big data technologies (e.g., Spark, Hadoop) and SQL.
• Proficiency in data visualization tools (e.g., Tableau, Power BI).
• Excellent communication, presentation, and interpersonal skills.
• Demonstrated ability to translate business problems into data science solutions.
• Experience in the FinTech industry is a plus.

• Highly competitive salary and performance-based bonuses.
• Comprehensive health, dental, and vision insurance.
• Generous retirement savings plan.
• Opportunities for international conferences and training.
• Prime office location in Cape Town with stunning views.
• Access to state-of-the-art technology and resources.
• A dynamic and intellectually stimulating work environment.