Job Description

Job specification:

As a Senior Analytics Manager you will be at the forefront of driving data-driven decision-making across the organization.

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 world-class, data-driven 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 cutting-edge technologies and insights. Our diverse team of data scientists, engineers, and analysts collaborate closely to deliver high-impact solutions to our clients' most complex challenges. As a Senior Analytics Manager, you will be at the forefront of driving data-driven decision-making 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 data-driven banking solutions. Perform in-depth analysis of large-scale structured and unstructured datasets to identify patterns, trends, and correlations. Drive business decision-making 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/up-sell 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 knowledge-sharing culture within the team. Collaborate closely with cross-functional 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. Bachelor's or master's 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 problem-solving 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 fast-paced 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

Location - Dubai (UAE)