Data Scientist

Akkodis is seeking a Data Scientist with our Fortune 500 banking client. Rate: $70.00 - $75/hr W2. The rate may be negotiable based on experience, education, geographic location, and other factors. Location: LOCAL CANDIDATES ONLY NO C2C PLEASE Data Scientist (Python Developer Background) – LLM-Fine‑Tuning | Charlotte, NC | Banking Domain Location: Charlotte, NC Industry: Banking / Financial Services MUST HAVE THE BELOW QUALIFICATIONS Role Focus: LLM-Fine‑Tuning, NLP, Python Development, Machine Learning Work Environment: Fast‑paced, team‑oriented, deadline-driven Overview We are seeking a highly skilled Data Scientist with strong Python development experience and a deep background in fine‑tuning Large Language Models (LLMs) using custom datasets. The ideal candidate has extensive hands‑on expertise with modern transformer‑based architectures, natural language processing techniques, and machine learning frameworks. Experience working in the banking domain and the ability to build, optimize, deploy, and evaluate NLP solutions are highly preferred. Key Responsibilities • Fine‑tune Large Language Models (LLMs) such as LLAMA2, GPT‑4, GPT‑3, Gemini Pro using domain‑specific datasets. • Develop scalable NLP and ML pipelines using Python, PyTorch, HuggingFace Transformers, and relevant libraries. • Design and implement advanced prompting strategies for GPT‑based and open‑source LLMs. • Train, evaluate, and optimize transformer-based models (e.g., BERT, RoBERTa). • Build machine learning models such as SVM, Logistic Regression, Random Forest, Naïve Bayes, Neural Networks, etc. • Apply modern NLP techniques including: • Word embeddings (Word2Vec, GloVe, FastText, USE) • Contextual embeddings (BERT, ELMo, Transformer encodings) • Topic modeling (e.g., LSA) • Vector search (FAISS) and ElasticSearch implementations • Deploy ML/LLM applications on platforms such as Streamlit, HuggingFace Spaces, Heroku. • Work with advanced semantic frameworks such as Discourse Semantics, Anaphora Resolution, DRT/DRS, and tools like Boxer, Neural DRS, JAMR. • Collaborate with cross‑functional teams to translate business needs into ML‑driven solutions. • Ensure model reliability, fairness, and compliance with financial/banking standards. Required Skills & Experience Large Language Models & NLP • Expertise in fine‑tuning LLMs (LLAMA2, GPT‑4, GPT‑3, BERT family). • Strong prompting experience with GPT‑4, GPT‑3, LLAMA2, Gemini Pro. • Extensive background in classical and modern NLP techniques, semantics, and discourse modeling. Machine Learning • Hands‑on experience with: • SVM, LR, Random Forest, Naïve Bayes • Neural Networks & Deep Learning architectures • Strong understanding of model evaluation, optimization, and feature engineering. Programming & Libraries • Expert in Python with libraries such as: • Scikit‑learn, Pandas, NumPy, NetworkX, NLTK • PyTorch, HuggingFace Transformers • Experience implementing scalable, production‑ready ML code. Deployment & MLOps • Strong experience deploying models to: • Streamlit • HuggingFace Spaces • Heroku • Familiarity with versioning, packaging, and model monitoring. Domain & Soft Skills • Preferably experienced in the banking or financial services sector. • Strong analytical problem‑solving skills. • Excellent communication and interpersonal skills. • Ability to operate under pressure and meet tight deadlines. • Quick learner and collaborative team pla Equal Opportunity Employer/Veterans/Disabled Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client. To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit https://www.akkodis.com/en/privacy-policy. The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: · The California Fair Chance Act · Los Angeles City Fair Chance Ordinance · Los Angeles County Fair Chance Ordinance for Employers · San Francisco Fair Chance Ordinance