Capgemini Recruitment Drive for 2023 Freshers

About Company : Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of 360,000 team members in more than 50 countries.

Company Full Name : Capgemini
Job Role : Data Scientist
Degree Needed : BE/ BTech/ BSc/ BCA/MCA/MSc
Batch : Any Batch
Location : Bangalore

Job Description :
Roles and Responsibility :

Develop strategies to solve problems in logical yet creative ways
Helping & Managing teams of data scientist and produce project deliverables
Identify and address client needs in different domains.
Processing, cleansing and verifying the integrity of data used for analysis. Data mining and performing EDAs using state-of-the-art methods
Selecting features, building and optimizing classifiers / regressors, etc. using machine learning & deep learning techniques
Help enhance data collection procedures to include information that is relevant for building analytical systems
Doing ad-hoc analysis and presenting results in a clear manner
Follow and help improve with ‘Analytics-Delivery’ procedures using detailed documentations
Create custom reports and presentations accompanied by strong data visualization and storytelling
Present analytical conclusions to senior officials in a company and other stakeholders

For More Updates Regrading Jobs in Bangalore Locations – Click Here

Required Qualification and Skills :

Proficient in data mining and data cleansing techniques
Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised & unsupervised problems, NLP and computer vision. Good applied statistics skills, such as distributions, statistical inference & testing, etc.
Excellent understanding and hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc).

Proficient in coding in common data science language & tools such as R, Python, Go, SAS, Matlab etc.
Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV etc.
Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoast, H2O etc.
Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc.
Experience in multiple domains and successfully executed big project in different domains.
Experience on deployment of model in production.
Familiarity with database systems of SQL and NoSQL