Data Scientist

Position Title: Data Scientist

Reporting To: CEO

Employment Type: Full-Time

Experience: 3-4 years

Preferred: Male Candidate

Interview Mode: F2F Interview

Working Days: 6 days a week (2nd and 4th Saturday half day and 1st and 3rd Saturday full day)

Key Responsibilities

Develop, train, and optimize machine learning models for predictive analytics.

Perform data mining, statistical analysis, and exploratory data analysis on structured and

unstructured datasets.

Build scalable AI and machine learning solutions for banking and financial applications.

Design and implement fraud detection, credit scoring, and recommendation systems.

Collect, process, clean, and validate data to ensure quality and accuracy.

Integrate internal and external data sources to improve analytical capabilities.

Create automated anomaly detection systems and continuously monitor their

performance.

Design algorithms to solve business challenges in the banking and financial services

domain.

Present analytical findings and business insights through reports and dashboards.

Collaborate with software developers, business analysts, and product teams to integrate

AI solutions into BankSoft products.

Required Skills & Qualifications

Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics,

Mathematics, or a related field.

3–4 years of experience in Data Science or Machine Learning.

Strong knowledge of machine learning algorithms such as:

o Decision Trees & Random Forests

o Support Vector Machines (SVM)

o Naïve Bayes

o K-Nearest Neighbors (K-NN)

o Clustering and Classification techniques

Proficiency in Python and data science libraries such as:

o NumPy

o Pandas

o Scikit-learn

o TensorFlow or PyTorch (preferred)

Experience with SQL and relational databases.

Knowledge of NoSQL databases such as MongoDB or Cassandra.

Strong understanding of statistics, regression analysis, probability distributions, and

hypothesis testing.

Experience with data visualization tools such as Power BI, Tableau, Microsoft SSRS, or

Matplotlib.

Knowledge of AI concepts including predictive analytics and recommendation engines.

Good programming and scripting skills.

Strong analytical and problem-solving abilities.

Excellent communication and presentation skills.