Accenture - Data Scientist - LLM (4-8 yrs)

Job Description :

Entity : Accenture Strategy & Consulting

Team : Strategy & Consulting - Global Network

Practice : Data & AI - CMT

Career Level : Consultant - Level 9

Job Posting Title : S&C Global Network - AI - CMT - Consultant Data Science LLM

Job Profile : Ind&Func AI Decision Science Consultant

Job location : Bangalore/Gurgaon

MANDATORY SKILLS : Gen AI, LLM ,Data Science,Machine learning

Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition

As part of our Data & AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance.

About Comms & Media practice within Strategy & Consulting :

- Comms & Media (C&M) is one of the Industry Practices within Accenture's S&C Global Network team. It focuses in serving clients across specific Industries - Communications, Media & Entertainment.

- Communications - Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the world's leading wireline, wireless, cable and satellite communications and service providers.

- Media & Entertainment - Focuses on industries like broadcast, entertainment, print and publishing

- Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction.

- From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices.

Responsibilities/Authorities :

LLM experienced data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in AI fundamentals and should have good hands-on experience working with any one of the following areas:

Generative AI Techniques and Tools :

- Understanding basics of different LLM algorithms and their applications (Must Have)

- LLM Model Fine Tuning Techniques and deployment (Must Have)

- Prompt Designing/Engineering (Must Have)

- GANs (Generative Adversarial Networks) : Understanding and implementation of GANs for image and text generation.

- VAEs (Variational Autoencoders) : Experience with VAEs for generative modelling.

- Reinforcement Learning for Generation : Techniques like RLHF .

Natural Language Processing (NLP) Tools and Libraries :

- Transformers : Experience with transformer-based models like BERT, GPT, T5, etc.

- spaCy : For advanced NLP tasks such as tokenization, named entity recognition, and dependency parsing.

- NLTK : Basic NLP tasks and text preprocessing.

- Gensim/LDA : For topic modelling and word embedding techniques.

Machine Learning and Deep Learning Frameworks :

- TensorFlow : Experience with model building, training, and deployment

- PyTorch : Proficiency in developing and fine-tuning deep learning models

- Keras : Knowledge of using Keras as a high-level API for TensorFlow

- Scikit-learn : For traditional machine learning tasks and preprocessing .

Cloud Platforms and Services :

- MS Azure : Knowledge of Azure OpenAI, AI Studio etc.

- AWS (Amazon Web Services) : Knowledge of S3, EC2, SageMaker, Lambda, etc.

- Google Cloud Platform (GCP) : Knowledge of Vertex AI Platform, BigQuery, Cloud Storage, etc.

Other Key Responsibilities :

- Ability to work with large data (Structured & Unstructured) and present conclusions to key stakeholders

- Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders - Track down and read all previous information on the problem or issue in question.

- Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem.

- Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state.

- Partner with clients to understand end clients' business goals, marketing objectives, and competitive constraints.

- Storytelling - Crunch the data & numbers to craft a story to be presented to senior client stakeholders.

- Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client.

JOB REQUIREMENTS :

- Overall 4+ years of experience in Data Science

- Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school, is preferred

- Demonstrated experience in solving real-world data problems through Data & AI (Specially Gen AI)

- Please note we are looking for client facing roles.

- Proficiency with data mining, mathematics, and statistical analysis

- Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc.

- Experience using digital & statistical modeling software (one or more) - Python, R, PySpark, SQL, BigQuery, Vertex AI .

- Proficient in Excel, MS word, Power point, and corporate soft skills

- Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders.

- Self-Starter with ability to work independently across multiple projects and set priorities

- Strong team player - Proactive and solution oriented, able to guide junior team members.