Data Science

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions.

Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

Your Role Understand client business requirements and provide suitable approach to solve the business problem in different domains. Develop strategies to solve problems in logical yet creative ways Helping & Managing teams of data scientists and produce project deliverables.

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 documentation.

Create custom reports and presentations accompanied by strong data visualization and storytelling. Present analytical conclusions to senior officials in a company and other stakeholders Your Profile Education: Engineering graduates (B. E/ B.

Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications). Impact oriented problem solver with a skill of solving business problems with analytics and data as primary means.

2-5 years of experience in delivering data & analytics delivery engagements in one/two of the following areas preferably – Consumer Products, Retail, Manufacturing, Automotive, Life Sciences, Financial Services, Telecom, Media, Technology. 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, MLFlow, Tensorflow, Pytorch etc.

Excellent understanding and hand-on experience of data-science and machine learning techniques & algorithms for supervised and unsupervised problems (such as k-NN, Regression, Naive Bayes, SVM, Decision Tree, Random Forests, k-means, PCA, SVD, GenAI, Agentic AI etc. ).

Good applied statistics skills, such as distributions, statistical inference & testing, etc. Excellent understanding and hand-on experience of forecasting models Exposure or knowledge in cloud (AWS/GCP/Azure) and big data technologies such as Hadoop, Hive, MapReduce, Pyspark etc.

Experience on deployment of model in production. Familiarity with database systems of SQL and NoSQL. What You Will Love About Working Here We recognize the significance of flexible work arrangements to provide support.

Be it remote work, or flexible work hours, you will get an environment to maintain healthy work life balance. At the heart of our mission is your career growth. Our array of career growth programs and diverse professions are crafted to support you in exploring a world of opportunities.

Equip yourself with valuable certifications in the latest technologies such as Generative AI. Capgemini is a global business and technology transformation partner, helping organizations to accelerate