334 Senior Data Scientist jobs in South Africa
Senior Data Scientist / Data Scientist
Posted 13 days ago
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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-LjbffrSenior data scientist / data scientist
Posted today
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Data scientist/senior data scientist
Posted today
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Senior data scientist / data scientist
Posted today
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Data Scientist
Posted today
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Job Details
Job Location : South Africa
Salary Range : Undisclosed
Please apply on our website: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!
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Data Scientist
Posted 1 day ago
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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
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About the latest Senior data scientist Jobs in South Africa !
Data Scientist
Posted 3 days ago
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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.
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Data Scientist
Posted 9 days ago
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Job Description
Join to apply for the Data Scientist role at NTT DATA, Inc.
Join to apply for the Data Scientist role at NTT DATA, Inc.
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.
Your day at NTT DATA
The Machine Learning Engineer (ML Engineer) is a subject matter expert, tasked with participating in the adoption of deploying machine learning models, data science and analytics within the organization.
The primary responsibility of this role is to participate in the creation and delivery of data-driven solutions that add business value using statistical models, machine learning algorithms, data mining, and visualization techniques.
Key Responsibilities:
- Designs, develops, and programs methods, processes, and systems to consolidate and analyze unstructured, diverse “big data” sources to generate actionable insights and solutions for client services and product enhancement.
- Designs and enhances data collection procedures to include information that is relevant for building analytic systems.
- Accountable for ensuring that data used for analysis is processed, cleaned and, integrally verified and build algorithms necessary to find meaningful answers.
- Designs and codes software programs, algorithms, and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources.
- Accountable for providing meaningful insights from large data and metadata sources; interprets and communicates insights and findings from analysis and experiments to product, service, and business managers.
- Accountable for performing analysis using programming languages or statistical packages such as Python, Javascript, etc.
- Designs scalable and highly available applications leveraging the latest tools and technologies.
- Accountable for creatively visualizing and effectively communicating results of data analysis, insights, and ideas in a variety of formats to key decision-makers within the business.
- Creates SQL queries for the analysis of data and visualize the output of the models.
- Creates documentation around processes and procedures and manages code reviews.
- Accountable for ensuring that industry standards best practices are applied to development activities.
- Seasoned in data modelling, statistical methods and machine learning techniques.
- Ability to thrive in a dynamic, fast-paced environment.
- Quantitative and qualitative analysis skills.
- Desire to acquire more knowledge to keep up to speed with the ever-evolving field of data science.
- Curiosity to sift through data to find answers and more insights.
- Good understanding of the information technology industry within a matrixed organization and the typical business problems such organizations face.
- Ability to translate technical findings clearly and fluently to non-technical team business stakeholders to enable informed decision-making.
- Ability to create a storyline around the data to make it easy to interpret and understand.
- Self-driven and able to work independently yet acts as a team player.
- Able to apply data science principles through a business lens.
- Desire to create strategies and solutions that challenge and expand the thinking of peers and business stakeholders.
- Bachelor’s degree or equivalent in Data Science, Business Analytics, Mathematics, Economics, Engineering, Computer Science or a related field.
- Relevant programming certification preferred.
- Seasoned experience in a data science position in a corporate environment and/or related industry.
- Seasoned experience in statistical modelling and data modelling, machine learning, data mining, unstructured data analytics, natural language processing.
- Seasoned experience in programming languages (Javascript, Python, etc.).
- Seasoned experience working with and creating data architectures.
- Seasoned experience with extracting, cleaning, and transforming data and working with data owners to understand the data.
- Seasoned experience visualizing and/or presenting data for stakeholder use and reuse across the busine
Hybrid Working
About NTT DATA
NTT DATA is a $30+ billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure, and connectivity. We are also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo.
Equal Opportunity Employer
NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today. Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries IT Services and IT Consulting
Referrals increase your chances of interviewing at NTT DATA, Inc. by 2x
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#J-18808-LjbffrData Scientist
Posted 9 days ago
Job Viewed
Job Description
To plan, organise and execute all data science related work for the Group. The incumbent works with CHG’s data management, executes data strategy and works within the parameters of best practice standards for data analytics and business intelligence.
REQUIREMENTS
Minimum Qualifications
- Honours Degree in (Actuarial Science, Mathematics, Statistics or Data Science)
Minimum Experience
- Must have a minimum of 5 years’ relevant experience
- Healthcare experience is non-negotiable
Key Competencies
- Healthcare funding models including Alternative Reimbursement models
- Risk adjustment methodologies
- Clinical Groupers including the diagnostic related grouper and Case Mix related concepts
- Clinical coding including ICD-10 and CPT coding
- Material coding including NAPPI codes, ATC codes
- Modelling concepts including GLMs, Machine learning models
- Communication
- Senior Stakeholder management
- Data Analytics and presentation
DELIVERABLES
- Work with large datasets on data extraction, cleaning, extrapolation, analysis and presentation
- Formulate data science solutions to business problems by collaborating with relevant business leads
- Design and implement algorithms to solve a wide array of problems with analytics and statistical approaches built on high dimensional datasets
- Manage interfaces beyond CHG with relevant bodies and structures regulating or driving best practice for the Actuarial practice
- Participate in creating toolkits and training materials that will support building a steady skills pipeline
- Drive adherence to statutory standards, policies and procedures within the business unit to ensure compliance at all times and take remedial action where necessary
- Plan, design, develop, optimise and assist with deployment and enhancement of predictive models
- Provide input and expertise in the development of advanced analytics strategy for the Group
- Provide subject matter expertise in areas such as hospital operations, funder relation management, performance measure development, healthcare administration, patient satisfaction, labour and productivity analytics and financial modelling.
- Identify innovative ways to improve business practices, processes and synergies to increase efficiencies