Ankura Logo

Ankura

Senior Artificial Intelligence (AI) Data Scientist (Director), Data & Technology, Data Analytics & AI (Remote)

Posted 18 Days Ago
In-Office or Remote
21 Locations
130K-240K
Senior level
In-Office or Remote
21 Locations
130K-240K
Senior level
The Senior AI Data Scientist (Director) will lead AI modeling projects, develop analytics solutions, and engage with clients to integrate AI into their strategies, ensuring effective deployment and operationalization of AI technologies.
The summary above was generated by AI

Ankura is a team of excellence founded on innovation and growth.

Ankura is a team of excellence founded on innovation and growth.

Practice Overview: 

Ankura’s Data & Technology Practice includes client services in the areas of Analytics & Data Strategy, eDiscovery & Cyber Security.  Our Data & Technology team helps our internal and external customers design, execute and test cutting edge solutions in each of our respective areas. 

Role Overview: 

As a Senior AI Engineer and Data Scientist (Director) in the Data Analytics & AI practice you will evaluate potential modeling approaches, build features, implement and operationalize algorithms with your fellow AI Engineers and Data Scientists and drive meaningful advances to the quality and breadth of ML and LLM solutions. This role offers the chance to work on challenging projects, collaborate with talented professionals, and contribute to the success of leading organizations across industries. 

This role is remote, located in the United States 

Responsibilities: 

  • Applying AI (Machine Learning, Generative AI), and analytics techniques to develop analytics solutions to business problems. 
  • Developing, maintaining, and deploying analytics software. 
  • Evaluate and implement AI infrastructure, MLOps/LLMOps best practices, and cloud-based AI deployments.
  • Understanding the market need, competitive landscape; identifying differentiators and opportunities for our products/solutions.
  • Proven experience in AI practice development, including presales activities, solution positioning, and strategic client engagement.
  •  Strong communication skills to articulate AI capabilities, value propositions, and business impact to clients and stakeholders.
  • Establishing effective relationships with internal analytics, consulting, research teams and other key stakeholders to quickly bring products, tools, and models to market 

 Requirements:  

  • Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future
  • BS in Computer Science, Engineering, Business Analytics or another analytical area.
  • 10+ years of experience in AI, machine learning, and data science, with at least 3+ years in a leadership role.
  • Proven experience leading LLM-driven projects, including fine-tuning, RAG, and prompt engineering.
  • Deep expertise in NLP, deep learning, and AI model deployment at scale.
  • Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere, Mistral, Llama), vector databases (e.g., Pinecone, Weaviate, FAISS, Pgvector), and MLOps frameworks.
  • Strong knowledge of Python, TensorFlow, PyTorch, LangChain, and AI/ML cloud services.
  • Experience deploying AI models in production-grade applications with security, reliability, and scalability.
  • Understanding of data pipelines, data engineering, and feature engineering for ML.
  • Experience with at least one of the clouds (GCP, AWS or Azure).
  • Exceptional leadership, strategic thinking, and ability to drive AI adoption across an organization.
  • Strong communication skills to translate complex AI concepts into business value.

Nice to have:  

  • Masters in Computer Science or Engineering.
  • Experience working in Consulting, or Tech Advisory firms.
  • Experience with AI safety, AI governance, and responsible AI practices.
  • Prior work in AI research or contributions to open-source AI projects.

For individuals assigned and/or hired to work in California, Colorado, or New York, Ankura is required to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the said markets and considers a broad range of factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled.  The range does not include additional benefits outside of salary. At Ankura, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each role. A reasonable estimate of the current base pay range is between $130, 000 to $240,000; this range is not a promise of a particular wage.

#LI-Remote

#LI-DR1

*

Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email [email protected] or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

Top Skills

AWS
Azure
GCP
Langchain
Python
PyTorch
TensorFlow

Similar Jobs

11 Hours Ago
Remote
USA
244K-287K Annually
Senior level
244K-287K Annually
Senior level
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Lead a team of data scientists to deliver actionable insights, establish best practices, and support product development through rigorous analysis and experimentation.
Top Skills: PythonRSQL
11 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
Senior level
Senior level
AdTech • Artificial Intelligence • Marketing Tech • Software • Analytics
As a Big Data DevOps Lead, you will improve Big Data infrastructure efficiency, lead architecture efforts, and provide on-call support for production systems.
Top Skills: AerospikeAnsibleCassandraGrafanaGraphiteHadoopKafkaMariadbMySQLNoSQLPerlPostgresPrometheusPuppetPythonSaltstackScylladbShell ScriptingShowflakeTerraform
11 Hours Ago
Easy Apply
Remote or Hybrid
United States
Easy Apply
76K-149K Annually
Mid level
76K-149K Annually
Mid level
Big Data • Cloud • Software • Database
As a Data Architect, you will design and implement data models and governance policies, ensuring data quality, security, and facilitating collaboration between business and engineering teams.
Top Skills: BigQueryIcebergMqlParquetPythonSQLTrino

What you need to know about the Charlotte Tech Scene

Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.

Key Facts About Charlotte Tech

  • Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
  • Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
  • Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
  • Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account