At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,000+, and has 55 offices in 20 countries within key global markets. For more information on the company, please visit our  website: www.synechron.com.

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.

S​YNECHRON’S DIVERSITY & INCLUSION STATEMENT
 

Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more.

All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

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