Data Scientist (m/f/d)

Telekom; Pune District; On-site; INR 1,200,000 - 1,800,000; Part time

Job summary

T-Systems ICT India Pvt. Ltd. in Pune seeks a skilled Data Scientist to build and deploy data-driven solutions.

You will work with large datasets, apply advanced statistics and ML techniques, and translate business problems into actionable insights. Collaboration with data engineers and analysts is key. Responsibilities include designing ML pipelines for both structured and unstructured data, validating models, and building dashboards to communicate results.

Qualifications

• Hands-on experience in building and deploying data-driven solutions.
• Experience with large datasets and production ML pipelines.
• Proficiency in Python and R, plus SQL.
• Experience with supervised/unsupervised learning and time series.
• Familiarity with NLP and data preprocessing/cleaning.

Responsibilities

• Analyze large volumes of structured and unstructured data to extract insights.
• Build, validate, and deploy ML models for predictive analytics.
• Design ML pipelines for varied data sources and scales.
• Collaborate with data engineers and analysts to translate problems into data solutions.
• Create dashboards and visualizations to communicate findings effectively.
• Monitor models in production and retrain on data drift.

Skills

Python

Pandas

Scikit-learn

NumPy

Matplotlib

Seaborn

R

SQL

Time series forecasting

NLP

Deep learning (optional)

Bayesian inference

Spark

Hadoop

MLflow

Docker

Kubernetes

Power BI

Tableau

Plotly

Git

GitHub/GitLab

Tools

Spark

Hadoop

Hive

MLflow

Docker

Kubernetes

Git

Job description

Job ID: 744000122452979Data Scientist (m/f/d)PuneProfessionalRegular (Part Time Possible)T-Systems ICT India Pvt. Ltd.Your TaskWe are seeking a highly skilled Data Scientist with hands-on experience in building and deploying data-driven solutions. The ideal candidate should be comfortable working with large datasets, applying advanced statistical and machine learning techniques, and translating business problems into actionable insights.Key ResponsibilitiesAnalyze large volumes of structured and unstructured data to extract meaningful insightsBuild, validate, and deploy machine learning models for predictive analytics and automationDesign and implement machine learning pipelines for structured and unstructured dataWork closely with business stakeholders and cross-functional teams including data engineers and analysts to translate problems into data-driven solutionsBuild dashboards and data visualizations to communicate findings effectivelyConduct testing, hypothesis validation, and experiment trackingOptimize model performance and ensure scalability and maintainability in production environmentsDocument methodology, workflow, and results clearly for future reference and complianceContinuously monitor model performance and retrain based on data drift and feedback loopsYour ProfileWe are seeking a highly skilled Data Scientist with hands-on experience in building and deploying data-driven solutions, comfortable working with large datasets, applying advanced statistical and machine learning techniques, and translating business problems into actionable insights.Must Have SkillsHands-on experience in building and deploying data-driven solutionsExperience working with large datasetsProficiency in Python (pandas, scikit-learn, NumPy, matplotlib, seaborn)Proficiency in R programmingProficiency in SQLExperience with supervised and unsupervised learningExperience with time series forecastingExperience with clustering techniquesExperience with Natural Language Processing (NLP)Knowledge of deep learning (optional)Strong statistical analysis skills including hypothesis testingExperience with regression modelsKnowledge of Bayesian inferenceExperience with multivariate analysisExperience with data preprocessing and cleaningStrong feature engineering skillsExperience handling large datasetsExperience with SparkExperience with HadoopExperience with HiveExperience with model deployment using MLflowExperience with DockerKnowledge of Kubernetes (for advanced roles)Experience with Power BIExperience with TableauExperience with PlotlyExperience with MatplotlibExperience with SeabornExperience with SQL databasesExperience with NoSQL databases (MongoDB, Cassandra)Experience with cloud-native databases (BigQuery, Redshift, Snowflake)Experience with AWS (SageMaker, Redshift)Experience with GCP (Vertex AI, BigQuery)Experience with Azure (ML Studio, Data Lake)Proficiency in version control using GitExperience with GitHub or GitLabExperience working with Agile teamsExperience using collaboration tools like Jira, Confluence, and SlackNice to Have SkillsExperience with NLPExperience with GenAI/LLMsExperience with recommendation systemsFamiliarity with MLOps practices and tools (e.g., Kubeflow, Airflow)About UsT-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.) is a certified Great Place To Work, proudly recognized for its strong people-first culture and commitment to employee excellence. As a wholly owned subsidiary of T-Systems International GmbH, T-Systems India operates out of Pune and Bangalore, with a dynamic team of over 4,200 professionals delivering high-value IT services to group customers worldwide.T-Systems India plays a key role in this global vision by delivering integrated, end-to-end IT solutions and sector-specific software to drive transformation across industries, including automotive, manufacturing, logistics, transportation, healthcare, and the public sector.For over 25 years, T-Systems International GmbH has been at the forefront of digital innovation, driving progress and fostering digital optimism. As a leading European IT services provider and a proud part of Deutsche Telekom, T-Systems delivers transformative digitalization projects backed by deep expertise in consulting, cloud, AI, cybersecurity, and connectivity.With a global workforce of 26,000 employees across 26 countries, we set industry benchmarks in efficiency, sovereignty, security, and reliability—empowering organizations to unlock their full digital potential.With annual revenues exceeding EUR 4.0 billion (2024), T-Systems stands as one of Europe's foremost digital transformation partners, committed to shaping the future of enterprise technology.Additional DetailsPlease Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing 'offer letters' on behalf of T-Systems in exchange for a fee. Please look for an authentic T-Systems email id - [e-mail] .Stay vigilant. Protect yourself from recruitment fraud!To know more please visit: Fraud Alert