Data Scientist

Synechron is a leading global digital consulting firm, providing innovative technology solutions for business. Our expertise in AI, Consulting, Data, Digital, Cloud & DevOps and Software Engineering, delivers customized, end-to-end solutions that drive business value and growth.

This role can be offered as permanent or contract.

Position Overview:

We are seeking a highly skilled Data Scientist with a strong background in predictive modelling, specifically focused on price optimization and portfolio management. The ideal candidate will be proficient in leveraging advanced analytical techniques and technologies to drive data-driven decision-making and maximize profitability. You will be responsible for developing and implementing models that optimize pricing strategies and enhance portfolio performance.

Key Responsibilities:

• Experiment, develop and implement predictive models to optimize pricing strategies and enhance portfolio management.
• Analyze large datasets to identify trends, patterns, and insights that drive business decisions.
• Collaborate with cross-functional teams including marketing, finance, and operations to understand business requirements and deliver actionable insights.
• Utilize tools such as Tableau for data visualization and reporting to communicate findings to stakeholders.
• Employ Python or R for data analysis, model development, and implementation of machine learning algorithms.
• Utilize SageMaker or H20, and ML Ops workflows for building, training, and deploying machine learning models at scale.
• Conduct A/B testing and other experimental designs to validate model effectiveness and optimize strategies.
• Familiarity with SQL for data extraction and manipulation
• Stay current with industry trends and advancements in data science and machine learning.

Qualifications:

• Bachelor’s or Master’s degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 3+ years of experience in data science with a focus on predictive modelling for price optimization and portfolio management.
• Proficiency in data analysis and modelling using Python or R.
• Experience with data visualization tools, specifically Tableau.
• Familiarity with ML Ops concepts and practices.
• Strong analytical and problem-solving skills with the ability to interpret complex data.
• Excellent communication skills, with the ability to present findings to non-technical stakeholders.
• Experience in working with large datasets and understanding of data warehousing concepts is a plus.