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Jobs at Firstwave Technology Pvt Ltd

Data Scientist_ Only MALE

Hiring for Mid scale company

Agency job

via Firstwave Technology Pvt Ltd by Ankita Jaiswal

Basvangundi , Bengaluru (Bangalore)

3 - 6 yrs

₹3L - ₹6L / yr

Data Science

Python

Machine Learning (ML)

Data Visualization

pandas

+2 more

Position Title: Data Scientist

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)

Job Description

We are seeking a skilled and analytical Data Scientist to join our Team. The ideal candidate will be responsible for analyzing large and complex datasets, developing predictive models, and implementing machine learning algorithms to enhance banking products and business decision-making.

The role involves designing intelligent solutions for fraud detection, automated credit scoring, customer analytics, recommendation systems, and other AI-driven financial applications.

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:
Decision Trees & Random Forests
Support Vector Machines (SVM)
Naïve Bayes
K-Nearest Neighbors (K-NN)
Clustering and Classification techniques
Proficiency in Python and data science libraries such as:
NumPy
Pandas
Scikit-learn
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.

Preferred Skills

Experience in Banking, Financial Services, or FinTech.
Knowledge of credit risk modelling, fraud analytics, or customer behaviour analysis.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is an added advantage.
Understanding of MLOps and model deployment is desirable.