Systems Integration Senior Specialist

Req ID: 383808

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Systems Integration Senior Specialist to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).

• Approximately 3-4 years of professional experience in data science, machine learning, data analytics, data engineering, or a related field.
• A bachelor’s or master’s degree in computer science, data science, statistics, mathematics, engineering, economics, or a related quantitative discipline.
• Strong working knowledge of Python for data analysis and machine learning.
• Experience using Python libraries such as:
• Pandas
• NumPy
• Scikit-learn
• Matplotlib or Plotly
• Good SQL skills, including joins, aggregations, window functions, common table expressions, and data validation.
• Understanding of core statistics and machine learning concepts, including:
• Probability and distributions
• Hypothesis testing
• Correlation and regression
• Classification and clustering
• Feature engineering
• Model evaluation
• Overfitting and regularization
• Cross-validation
• Experience performing exploratory data analysis and presenting findings through visualizations.
• Familiarity with data preparation, feature creation, missing-value treatment, and outlier handling.
• Experience with at least one business intelligence or visualization tool such as Power BI, Tableau, Looker, or similar.
• Basic understanding of Git, version control, and collaborative software development.
• Ability to communicate technical findings clearly to both technical and non-technical stakeholders.
• Strong problem-solving skills and attention to data accuracy.
• Ability to work effectively under the guidance of senior team members in a distributed environment.

Technical Capabilities

The ideal candidate will have practical exposure to several of the following areas:

• Machine learning algorithms for classification, regression, clustering, forecasting, recommendation, and anomaly detection.
• Statistical analysis, experiment design, A/B testing, and hypothesis validation.
• Deep learning frameworks such as TensorFlow, Keras, or PyTorch.
• Data-processing technologies such as Spark, Databricks, or cloud-based analytics platforms.
• Cloud services on Azure, AWS, or Google Cloud.
• Azure Machine Learning, Amazon SageMaker, Google Vertex AI, or equivalent model-development platforms.
• Experiment tracking and model-management tools such as MLflow or Weights & Biases.
• Containerization using Docker.
• APIs and model-serving frameworks such as FastAPI, Flask, or similar technologies.

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, 

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