In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle – from data discovery to insight delivery – while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding.

Key Responsibilities:

• Manage full data workflows: Data extraction, cleaning, preparation, and analysis
• Create meaningful dashboards and visualisations to communicate insights
• Build and deploy statistical and machine learning models using SAS, Python, and SQL
• Develop new AI-driven solutions for complex business problems
• Translate ambiguous or unstructured business challenges into clear analytical approaches
• Work within AWS and SAS Viya environments for development and deployment
• Collaborate closely with business teams to understand needs before building solutions
• Present findings and recommendations in a clear, concise manner to stakeholders

Job Experience and Skills Required:

• Education:
  • Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplines
  • Strong theoretical grounding in statistical modelling is essential
• Experience:
  • Strong background in data preparation, data wrangling, and exploratory analysis
  • Experience working with SAS, Python, and SQL in production environments
  • Proven experience with machine learning or statistical models
  • Exposure to cloud technologies, preferably AWS
  • Experience using data visualisation tools (e.g., SAS Visual Analytics or similar)
• Skills:
  • Strong analytical and problem-solving ability
  • Ability to work independently and take full ownership of solutions
  • Excellent communication skills and the ability to tell a clear data-driven story
  • High levels of curiosity and willingness to experiment and learn
  • Strong collaboration skills — able to work closely with both technical and non-technical teams
  • Enjoys tackling challenging problems and thrives in a dynamic environment

For more exciting Actuarial and Analytics vacancies, please visit:
Network Recruitment International – Finance Jobs
 
I also specialise in recruiting in the following:

• Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
• Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
• Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
• Pricing: Specialists in Insurance and Financial Products
• AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
• Quantitative: Experts across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:
Zahrah Gani
Specialist Recruitment Consultant
? Connect with me on LinkedIn

In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle – from data discovery to insight delivery – while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding.

Key Responsibilities:

• Manage full data workflows: Data extraction, cleaning, preparation, and analysis
• Create meaningful dashboards and visualisations to communicate insights
• Build and deploy statistical and machine learning models using SAS, Python, and SQL
• Develop new AI-driven solutions for complex business problems
• Translate ambiguous or unstructured business challenges into clear analytical approaches
• Work within AWS and SAS Viya environments for development and deployment
• Collaborate closely with business teams to understand needs before building solutions
• Present findings and recommendations in a clear, concise manner to stakeholders

Job Experience and Skills Required:

• Education:
  • Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplines
  • Strong theoretical grounding in statistical modelling is essential
• Experience:
  • Strong background in data preparation, data wrangling, and exploratory analysis
  • Experience working with SAS, Python, and SQL in production environments
  • Proven experience with machine learning or statistical models
  • Exposure to cloud technologies, preferably AWS
  • Experience using data visualisation tools (e.g., SAS Visual Analytics or similar)
• Skills:
  • Strong analytical and problem-solving ability
  • Ability to work independently and take full ownership of solutions
  • Excellent communication skills and the ability to tell a clear data-driven story
  • High levels of curiosity and willingness to experiment and learn
  • Strong collaboration skills — able to work closely with both technical and non-technical teams
  • Enjoys tackling challenging problems and thrives in a dynamic environment

For more exciting Actuarial and Analytics vacancies, please visit:
Network Recruitment International – Finance Jobs
 
I also specialise in recruiting in the following:

• Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
• Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
• Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
• Pricing: Specialists in Insurance and Financial Products
• AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
• Quantitative: Experts across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:
Zahrah Gani
Specialist Recruitment Consultant
? Connect with me on LinkedIn

In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle – from data discovery to insight delivery – while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding.

Key Responsibilities:

• Manage full data workflows: Data extraction, cleaning, preparation, and analysis
• Create meaningful dashboards and visualisations to communicate insights
• Build and deploy statistical and machine learning models using SAS, Python, and SQL
• Develop new AI-driven solutions for complex business problems
• Translate ambiguous or unstructured business challenges into clear analytical approaches
• Work within AWS and SAS Viya environments for development and deployment
• Collaborate closely with business teams to understand needs before building solutions
• Present findings and recommendations in a clear, concise manner to stakeholders

Job Experience and Skills Required:

• Education:
  • Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplines
  • Strong theoretical grounding in statistical modelling is essential
• Experience:
  • Strong background in data preparation, data wrangling, and exploratory analysis
  • Experience working with SAS, Python, and SQL in production environments
  • Proven experience with machine learning or statistical models
  • Exposure to cloud technologies, preferably AWS
  • Experience using data visualisation tools (e.g., SAS Visual Analytics or similar)
• Skills:
  • Strong analytical and problem-solving ability
  • Ability to work independently and take full ownership of solutions
  • Excellent communication skills and the ability to tell a clear data-driven story
  • High levels of curiosity and willingness to experiment and learn
  • Strong collaboration skills — able to work closely with both technical and non-technical teams
  • Enjoys tackling challenging problems and thrives in a dynamic environment

For more exciting Actuarial and Analytics vacancies, please visit:
Network Recruitment International – Finance Jobs
 
I also specialise in recruiting in the following:

• Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
• Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
• Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
• Pricing: Specialists in Insurance and Financial Products
• AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
• Quantitative: Experts across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:
Zahrah Gani
Specialist Recruitment Consultant
? Connect with me on LinkedIn

In this role, you will develop and deploy machine learning and statistical models, design AI-driven solutions, and tackle complex analytical challenges. You will work across the entire data lifecycle – from data discovery to insight delivery – while leveraging modern platforms like AWS and SAS Viya to build scalable, high-impact solutions. This position is perfect for someone who combines deep technical expertise with strong business understanding.

Key Responsibilities:

• Manage full data workflows: Data extraction, cleaning, preparation, and analysis
• Create meaningful dashboards and visualisations to communicate insights
• Build and deploy statistical and machine learning models using SAS, Python, and SQL
• Develop new AI-driven solutions for complex business problems
• Translate ambiguous or unstructured business challenges into clear analytical approaches
• Work within AWS and SAS Viya environments for development and deployment
• Collaborate closely with business teams to understand needs before building solutions
• Present findings and recommendations in a clear, concise manner to stakeholders

Job Experience and Skills Required:

• Education:
  • Degree in a quantitative field such as Applied Mathematics, Statistics, Data Science, or related disciplines
  • Strong theoretical grounding in statistical modelling is essential
• Experience:
  • Strong background in data preparation, data wrangling, and exploratory analysis
  • Experience working with SAS, Python, and SQL in production environments
  • Proven experience with machine learning or statistical models
  • Exposure to cloud technologies, preferably AWS
  • Experience using data visualisation tools (e.g., SAS Visual Analytics or similar)
• Skills:
  • Strong analytical and problem-solving ability
  • Ability to work independently and take full ownership of solutions
  • Excellent communication skills and the ability to tell a clear data-driven story
  • High levels of curiosity and willingness to experiment and learn
  • Strong collaboration skills — able to work closely with both technical and non-technical teams
  • Enjoys tackling challenging problems and thrives in a dynamic environment

For more exciting Actuarial and Analytics vacancies, please visit:
Network Recruitment International – Finance Jobs
 
I also specialise in recruiting in the following:

• Actuarial: Life, Short-Term, Health, Pensions, and Quantitative
• Data & Analytics: Data Scientists, Data Analysts (Python, R, SQL, Machine Learning)
• Risk: Credit Risk, Market Risk, Model Risk, and Operational Risk Analysts
• Pricing: Specialists in Insurance and Financial Products
• AI & Machine Learning: ML Ops, NLP, Predictive Modelling Data Scientists
• Quantitative: Experts across Banking, Insurance, and FinTech

If you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.

For more information, contact:
Zahrah Gani
Specialist Recruitment Consultant
? Connect with me on LinkedIn