Data Scientist

**Capgemini Invent**:
**Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build what’s next for their businesses.**

**Your role**:

- **Understand client business requirement 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 scientist 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 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**

**Your Profile**:

- **Education**:Engineering graduates (B.E/ B.Tech)/ Other Graduates (Mathematics/ Statistics/ Operational Research/ Computer Science & Applications).**:

- **Minimum 4 years relevant experience**:

- **Experience in data**management and visualization task**:

- **Experience with common data science toolkits, such as NumPy, Pandas, StatModel, Scikit learn, SciPy, NLTK, Spacy, Gensim, OpenCV, MLFlow, Tensorflow, Pytorch etc.**:

- **Excellent understanding / hand-on experience in NLP and computer vision.**:

- **Good understanding / hand-on experience on building Deep-learning models for text & image analytics (such as ANNs, CNNs, LSTM, Transfer Learning, Encoder and decoder, etc.).**:

- **Knowledge/ Experience with common data science frameworks such as Tensorflow, Keras, PyTorch, XGBoost, H2O etc.**
- **Knowledge/ hand-on experience Exposure on large scale dataset and respective tool & framework like Hadoop, Pyspark, etc**
- **Knowledge/ hand-on experience on deployment of model in production & deployment.**:

- **Hands on experience in GenAI.**

**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.**

**About Capgemini**:
**Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.