Senior Analytics Manager - NeoStats

About the Job

NeoStats is a new age Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create a lasting competitive advantage for our clients by transforming them into worldclass datadriven organizations. Established in 2022 to provide End to End Data & Analytics Services we are headquartered out of UAE with bases in India & UK. Comprising industry veterans we enable structural transformations in Analytics powered by our expertise true partnership and e2e implementation approach.

We believe in driving innovation through cuttingedge technologies and insights. Our diverse team of data scientists engineers and analysts collaborate closely to deliver highimpact solutions to our clients most complex challenges. As a Senior Analytics Manager you will be at the forefront of driving datadriven decisionmaking across the organization and building advanced machine learning models that power our transformative solutions.

Responsibilities

• Work with stakeholders throughout the organization to understand challenges identify opportunities to make datadriven banking solutions.
• Perform indepth analysis of largescale structured and unstructured datasets to identify patterns trends and correlations.
• Drive business decisionmaking and optimize key performance indicators.
• Conduct exploratory data analysis and hypothesis testing to gain deep insights into various analysis areas like customer behavior market dynamics operational efficiency etc.
• Design and develop advanced machine learning models algorithms and statistical methodologies to increase and optimize customer experiences revenue generation using cross/upsell products and other business outcomes.
• Analyze and optimize Digital Journeys and provide insights.
• Build scalable and efficient machine learning pipelines to preprocess transform and analyze data for model development.
• Deploy machine learning models into production in collaboration with relative Engineers.
• Conduct research and experimentation to enhance existing models and drive innovation within the organization.
• Fostering a collaborative and knowledgesharing culture within the team.
• Collaborate closely with crossfunctional teams and business stakeholders to understand their requirements.

Candidate Profile

• 10 years of Banking experience in a data science role with a focus on building and deploying machine learning models and algorithms.
• Bachelors or masters degree in one of Data Science Computer Science Information Technology Economics Information Systems Statistics Applied Math.
• Proficiency in SQL and Python; familiarity with SAS Scala or Spark is a plus.
• Strong understanding of statistical concepts and methodologies and demonstrated experience in applying machine learning techniques.
• Excellent problemsolving skills.
• Experience with any major Cloud provider (e.g. Azure GCP AWS etc.) is a plus.
• Excellent communication & collaboration skills and fluency in English.

What we offer:

• Competitive Salary and Benefits
• Opportunity to be part of a fastpaced and growing startup. Grow your career with the company
• Ownership You will own your initiative and be given specific responsibilities
• Continuous coaching & mentoring You will have the opportunity to interact and work closely with other senior data scientists and AI experts across the globe.
• Dynamic and respectful work environment we truly value you