Role Overview
Capco is hiring a mid-level Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks. This is a full-time role in IN. Part of Capco's Data Science hiring, posted 2 days ago. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Resume Keywords to Include
Make sure these keywords appear in your resume to improve ATS scoring
Sign up free to auto-tailor your resume with all these keywords and get a higher ATS score
Job Description
Job Title: Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks
About Us
“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery.
WHY JOIN CAPCO?
You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.
MAKE AN IMPACT
Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.
#BEYOURSELFATWORK
Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.
CAREER ADVANCEMENT
With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.
DIVERSITY & INCLUSION
We believe that diversity of people and perspective gives us a competitive advantage.
Job Description
Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks
Job Summary
We are seeking a Data Scientist with strong expertise in Python, Statistical Modelling, Forecasting, and Machine Learning to develop advanced analytics solutions using Azure and Databricks. The ideal candidate will have hands-on experience in time-series forecasting, geospatial analytics, model interpretation, and large-scale data analysis to support data-driven decision making.
Key Responsibilities
- Perform advanced data analysis, feature engineering, and exploratory analytics using Python.
- Develop, validate, and deploy predictive and machine learning models.
- Design and implement statistical forecasting and time-series models.
- Build geospatial analytics and location-based modelling solutions.
- Apply model explainability techniques and communicate insights to business stakeholders.
- Develop scalable analytical solutions using Databricks and Azure.
- Collaborate with business and technical teams to translate requirements into analytical solutions.
- Ensure data quality, governance, and validation throughout the model lifecycle.
- Contribute to reusable analytical frameworks, standards, and best practices.
Required Skills
Data Science & Analytics
- Statistical Modelling and Forecasting
- Time-Series Analysis
- Machine Learning
- Model Explainability & Interpretation
- Feature Engineering
- Hypothesis Testing and Predictive Analytics
Programming
- Python
- SQL
Libraries
- Pandas
- NumPy
- Scikit-learn
- Statsmodels
- Prophet
- Scipy
Geospatial Analytics
- Experience with geospatial data analysis and modelling
- GeoPandas, Shapely or similar libraries (preferred)
Cloud & Platform
- Databricks
- Azure Data & Analytics ecosystem
- Spark / PySpark
Preferred Experience
- Energy / Utilities domain experience
- Forecasting, optimization, or operational analytics use cases
- Experience communicating analytical insights to business stakeholders
Good to Have
- Azure ML / MLOps
- SHAP, LIME, or similar Explainable AI frameworks
Key hiring emphasis: Statistical Forecasting, Time-Series Modelling, Geospatial Analytics, Model Explainability, Python, SQL, Databricks.
MLOps should be treated as a secondary / good-to-have capability rather than a primary screening criterion.
If you are keen to join us, you will be part of an organization that values your contributions, recognizes your potential, and provides ample opportunities for growth. For more information, visit www.capco.com. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
Frequently Asked Questions
How do I apply for the Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks position at Capco?
Use the Apply button above to submit your application directly to Capco. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks position at Capco located?
This position is based in IN. Capco has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks at Capco earn?
Capco has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks role at Capco posted?
This role was posted on June 4, 2026 (2 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
AI-powered job search
Get every job scored to your resume
Upload your resume and get jobs ranked, your resume tailored, and employee contacts found automatically.
Get Started FreeNo credit card to start