Senior Data Scientist

2 Months ago • 5-9 Years • Data Analysis

Job Summary

Job Description

As a Senior Data Scientist, you will develop and implement Artificial Intelligence-based solutions across various disciplines within the Intelligent Industry vertical. You will work individually or in a team to design and develop ML/NLP models, collaborating with Product Owners and stakeholders from conceptualization to implementation. Responsibilities include understanding client requirements, managing data, ensuring security and privacy, and utilizing appropriate infrastructure for development and implementation. You will also be responsible for executing data science projects, demonstrating domain expertise, developing program plans, and soliciting stakeholder feedback. The role includes contributing to ML asset creation and training fellow data science professionals, while also requiring thought leadership in proposing industry-specific AI model development. Experience in building production-ready AI models using microservices and web services is a plus.
Must have:
  • Develop AI-based solutions across various disciplines.
  • Design and develop ML/NLP models.
  • Work with Product Owners and stakeholders.
  • Execute data science projects independently.
  • Demonstrate domain expertise.
  • Develop and execute program plans.
  • Programming languages Python, Java, Scala and SQL.
Good to have:
  • Experience with open-source OCR engines.
  • Experience with NLP libraries.
  • Experience in Agile way of working.
  • Experience in Proposal, RFP, RFQ and pitch creations.
Perks:
  • Flexible work arrangements and hours for work-life balance.
  • Career growth programs and diverse professions.
  • Opportunities for certifications in the latest technologies, such as Generative AI.

Job Details

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

As a Senior Data Scientist, you are expected to develop and implement Artificial Intelligence based solutions across various disciplines for the Intelligent Industry vertical of Capgemini Invent. You are expected to work as an individual contributor or along with a team to help design and develop ML/NLP models as per the requirement. You will work closely with the Product Owner, Systems Architect and other key stakeholders right from conceptualization till the implementation of the project. You should take ownership while understanding the client requirement, the data to be used, security & privacy needs and the infrastructure to be used for the development and implementation.

The candidate will be responsible for executing data science projects independently to deliver business outcomes and is expected to demonstrate domain expertise, develop, and execute program plans and proactively solicit feedback from stakeholders to identify improvement actions. This role requires a strong technical background, excellent problem-solving skills, and the ability to work collaboratively with stakeholders from different functional and business teams.
The role also requires the candidate to collaborate on ML asset creation and eager to learn and impart trainings to fellow data science professionals. We expect thought leadership from the candidate, especially on proposing to build a ML/NLP asset based on expected industry requirements. Experience in building Industry specific (e.g. Manufacturing, R&D, Supply Chain, Life Sciences etc), production ready AI Models using microservices and web-services is a plus.

Programming Languages – Python – NumPy, SciPy, Pandas, MatPlotLib, Seaborne
Databases – RDBMS (MySQL, Oracle etc.), NoSQL Stores (HBase, Cassandra etc.)
ML/DL Frameworks – SciKitLearn, TensorFlow (Keras), PyTorch, 
Big data ML Frameworks - Spark (Spark-ML, Graph-X), H2O 
Cloud – Azure/AWS/GCP

Your Profile

Predictive and Prescriptive modelling using Statistical and Machine Learning algorithms including but not limited to Time Series, Regression, Trees, Ensembles, Neural-Nets (Deep & Shallow – CNN, LSTM, Transformers etc.). Experience with open-source OCR engines like Tesseract, Speech recognition, Computer Vision, face recognition, emotion detection etc. is a plus.
Unsupervised learning – Market Basket Analysis, Collaborative Filtering, Dimensionality Reduction, good understanding of common matrix decomposition approaches like SVD. Various Clustering approaches – Hierarchical, Centroid-based, Density-based, Distribution-based, Graph-based clustering like Spectral. 
NLP – Information Extraction, Similarity Matching, Sentiment Analysis, Text Clustering, Semantic Analysis, Document Summarization, Context Mapping/Understanding, Intent Classification, Word Embeddings, Vector Space Models, experience with libraries like NLTK, Spacy, Stanford Core-NLP is a plus. Usage of Transformers for NLP and experience with LLMs like (ChatGPT, Llama) and usage of RAGs (vector stores like LangChain & LangGraps), building Agentic AI applications.
Model Deployment – ML pipeline formation, data security and scrutiny check and ML-Ops for productionizing a built model on-premises and on cloud.

Required Qualifications:
Master’s degree in a quantitative field such as Mathematics, Statistics, Machine Learning, Computer Science or Engineering or a bachelor’s degree with relevant experience. 
Good experience in programming with languages such as Python/Java/Scala, SQL and experience with data visualization tools like Tableau or Power BI.

Preferred Experience:
Experienced in Agile way of working, manage team effort and track through JIRA
Experience in Proposal, RFP, RFQ and pitch creations and delivery to the big forum.
Experience in POC, MVP, PoV and assets creations with innovative use cases
Experience working in a consulting environment is highly desirable.
Presupposition:

High Impact client communication
The job may also entail sitting as well as working at a computer for extended periods of time. Candidates should be able to effectively communicate by telephone, email, and face to face.

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 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, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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About The Company

We are a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. Capgemini is a global leader in partnering with companies to transform and manage their business. Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology.

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