Pune | Data Scientist

Globallogic; Pune District; On-site; INR 12,00,000 - 18,00,000; Full time

Job summary

A global tech consulting firm located in Pune is seeking an experienced data scientist to analyze financial datasets and develop machine learning models. Ideal candidates have over 6 years of data science experience, proficiency in Python and SQL, and strong communication skills to present findings. The role offers a collaborative work environment and focuses on exciting projects in various industries, including healthcare and retail.

Benefits

Flexible work schedules

Paid time off and holidays

Corporate parties

Professional development training

Qualifications

• 6+ years of experience in data science, preferably in the finance industry.
• Strong proficiency in Python, R, SQL, and machine learning libraries.
• Experience in statistical analysis, data modeling, and deep learning.

Responsibilities

• Analyze large financial datasets to identify trends and patterns.
• Develop and deploy machine learning models for predictive analytics.
• Create visualizations to communicate model results to stakeholders.

Skills

Python

R

SQL

Scikit-learn

TensorFlow

AWS

Tableau

Tools

Apache Spark

Hadoop

Docker

Job description

Core Technical Skills

• Programming Languages: Advanced skills in Python (e.g., Pandas, NumPy, Matplotlib) and R for data analysis and modeling; familiarity with SQL for querying large datasets.
• ML Frameworks: Proficiency with Scikit-learn for traditional ML, TensorFlow or PyTorch for deep learning, and XGBoost or LightGBM for high-performance predictive models.
• Data Tools: Experience with big data platforms like Apache Spark or Hadoop, and cloud-based data services (e.g., AWS Redshift, Azure Data Lake, GCP BigQuery).
• Cloud Platforms: Hands‑on knowledge of AWS (e.g., S3, SageMaker), Azure (e.g., Synapse Analytics), or GCP (e.g., Vertex AI) for scalable data processing and model hosting.
• Visualization Tools: Expertise in Tableau, Power BI, or Matplotlib/Seaborn to craft impactful data stories.
• Generative AI: Exposure to models like BERT, GPT, or Hugging Face Transformers for NLP tasks or synthetic data generation in finance.
• MLOps Basics: Familiarity with Docker for containerization and Git for version control in collaborative projects.

Requirements

• 6+ years of experience in data science, preferably in the finance industry.
• Strong proficiency in Python, R, SQL, and machine learning libraries (e.g., Scikit-learn, TensorFlow).
• Experience in statistical analysis, data modeling, and deep learning.
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, GCP).
• Strong communication skills for presenting findings to stakeholders.

Job Responsibilities

• Analyze large financial datasets to identify trends and patterns.
• Develop and deploy machine learning models for predictive analytics and decision support.
• Work with product teams to understand requirements and develop data‑driven solutions.
• Translate business requirements into machine learning tasks.
• Create visualizations to communicate model results to non‑technical stakeholders.
• Stay up‑to‑date with emerging AI/ML techniques and tools.

What We Offer

• Exciting Projects: We focus on industries like High‑Tech, communication, media, healthcare, retail, and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
• Collaborative Environment: You can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
• Work‑Life Balance: GlobalLogic prioritizes work‑life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
• Professional Development: Our dedicated Learning & Development team regularly organizes communication skills training (GL Vantage, Toast Master), stress‑management program, professional certifications, and technical and soft‑skill trainings.
• Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance, NPS (National Pension Scheme), periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
• Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidized rates, corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table tennis and offer discounts for popular stores and restaurants!