Description :

About NeoStats Analytics :

NeoStats is a new-age, Data & Analytics firm offering contemporary solutions and infinite possibilities. Our mission is to create 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 of industry veterans, we enable structural transformations in Analytics powered by our expertise, true partnership, and e2e implementation approach.

About the Job :

We are seeking a highly skilled Data Scientist to join our dynamic team in Bangalore. As a Data Scientist at NeoStats Analytics, you will play a critical role in designing, developing, and deploying advanced machine learning models to solve real-world business challenges.

You will work closely with cross-functional teams to deliver actionable insights and drive data-driven decision-making for our clients. This is an onsite role requiring strong expertise in Python, SQL, and statistical modeling, with a preference for candidates experienced in the Banking or FinTech domain.

Responsibilities :

- Lead the design, development, and deployment of propensity and next-best-action models to support cross-sell, upsell, acquisition, churn, and retention initiatives.

- Perform data wrangling, cleaning, transformation, and analysis on large, complex datasets to ensure data quality and usability.

- Apply supervised and unsupervised learning techniques, including logistic/linear regression, random forests, XGBoost/LightGBM, clustering, PCA/UMAP, and anomaly detection methods.

- Execute feature engineering, model evaluation, interpretability (e.g., SHAP/LIME), and monitoring (e.g., drift detection, stability, calibration).

- Collaborate with engineering teams to productionize and automate models using Git, CI/CD pipelines, and job orchestration tools.

Requirements :

- 4+ years of hands-on experience in data analysis, wrangling, and statistical modeling.

- Strong proficiency in Python and SQL (mandatory).

- Working knowledge of SAS (optional, but a plus).

- Solid understanding of inferential statistics, experimental design, and hypothesis testing.

- Proven experience in AI/ML modeling and deployment for business use cases.

- Domain experience in Banking or FinTech is strongly preferred.

- Experience with model interpretability, drift detection, and model performance monitoring.

- Familiarity with MLOps tools and cloud platforms (AWS, GCP, or Azure).

- Exposure to data storytelling and executive presentations.

- Excellent problem-solving, analytical, and communication skills, with the ability to simplify complex results for non-technical audiences.

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