capgemini is actively hiring business or data analyst to work on a analytical operations

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You should have solid understanding of data modeling, SQL, and relational databases, R or Python for data manipulation 

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certifications from platforms like intellipaat, alma better, coursera, udemy, and simplilearn can improve your career prospects.having these skills backed by certification makes your resume more attractive to employers.

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Basic familiarity with machine learning frameworks like TensorFlow, PyTorch, or scikit-learn is important 

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capgemini offers structured learning and development programs for freshers, and employees get access to training in ai, machine learning, and cloud computing it show continuous learning is a part of the company culture.

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Experience with NLP, LLMs, Text annotation, and Information Extraction. Well-versed with fine-tuning Large Language Models is plus

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familiarity with agile methodology and project management tools is a plus, tools like jira, confluence, and slack are often used in analytics teams. knowing these platforms makes collaboration more effective

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capgemini data professionals work closely with global clients on digital transformation projects.exposure to international teams helps in learning advanced analytics practices.

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Theoretical understanding of statistical models such as regression, clustering and ML algorithms such as decision trees, neural networks , RNN , CNN etc. is added advantage 

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Knowledge of cloud computing platform like AWS , Azure and data science open source platform apache apark,Hadoop,Hive base is plus

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hands-on experience with data pipelines and etl tools improves job prospects with tools like informatica, talend, and apache airflow are widely used in projects,such technical expertise makes you a strong candidate

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Participate in monitoring the performance of machine learning models, gaining experience in using statistical methods for evaluation.

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having knowledge of prompt engineering, generative ai, and workflow automation can give you a competitive edge.companies increasingly use advanced ai models like gpt, llama, and gemini for real world projects, candidates with these modern skills are preferred for data analyst, data engineer, and ai scientist roles.

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Strong written and verbal communication skills, with the ability to present complex data and analysis to stakeholders is required

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soft skills like problem solving, critical thinking, and teamwork are equally important for professionals who can present insights to non-technical teams

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You can also explore our official job portal for more latest tech and data science job openings 

hope you understand the criteria and eligibility for this role,check the official details below and apply in capgemini through our curated job portal.

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