Data Scientist Time Series, Statistical Modelling & Azure Data Bricks

About the Role

This role involves working as a Data Scientist, focusing on Time Series, Statistical Modelling, and Azure Data Bricks. You will be responsible for developing advanced analytics solutions using Python, Statistical Modelling, Forecasting, and Machine Learning to support data-driven decision making.

As a Data Scientist, you will work on projects that involve time-series forecasting, geospatial analytics, model interpretation, and large-scale data analysis. You will collaborate with business and technical teams to translate requirements into analytical solutions and ensure data quality, governance, and validation throughout the model lifecycle.

Key Responsibilities

• Perform advanced data analysis, feature engineering, and exploratory analytics using Python.
• Develop, validate, and deploy predictive and machine learning models.
• Design and implement statistical forecasting and time-series models.
• Build geospatial analytics and location-based modelling solutions.
• Apply model explainability techniques and communicate insights to business stakeholders.
• Develop scalable analytical solutions using Databricks and Azure.
• Collaborate with business and technical teams to translate requirements into analytical solutions.

Skills & Qualifications

• Data Science & Analytics: Strong expertise in Python, Statistical Modelling, Forecasting, and Machine Learning.
• Statistical Modelling and Forecasting: Experience in time-series forecasting, geospatial analytics, model interpretation, and large-scale data analysis.
• Machine Learning: Knowledge of predictive and machine learning models, model explainability techniques, and model interpretation.
• Programming: Proficiency in Python, SQL, and experience with libraries such as Pandas, NumPy, Scikit-learn, Statsmodels, and Prophet.
• Cloud & Platform: Experience with Databricks, Azure, and the Azure Data Analytics ecosystem.
• Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
• Certifications: Certifications in Data Science, Machine Learning, or related fields are a plus.

What You'll Learn

This role offers a great opportunity to learn and grow as a Data Scientist. You will gain hands-on experience in time-series forecasting, geospatial analytics, model interpretation, and large-scale data analysis. You will also learn to develop scalable analytical solutions using Databricks and Azure and apply model explainability techniques to communicate insights to business stakeholders.

As a Data Scientist at Capco, you will have the opportunity to work on engaging projects with the largest international and local banks, insurance companies, payment service providers, and other key players in the industry. You will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth.

Resume Tip

When applying for this role, make sure to highlight your experience in time-series forecasting, geospatial analytics, and model interpretation. Emphasize your proficiency in Python, SQL, and experience with libraries such as Pandas, NumPy, Scikit-learn, Statsmodels, and Prophet. Also, mention any certifications in Data Science, Machine Learning, or related fields that you may have.

Remember to tailor your resume to the specific requirements of the job description and highlight your relevant skills and experience. This will increase your chances of getting noticed by the hiring manager and landing an interview.

Also, be sure to proofread your resume multiple times for any grammar or spelling errors before submitting it. A well-written and error-free resume will make a good impression on the hiring manager and increase your chances of getting hired.