AI and Data Science Specialist

AtkinsRéalis•Tallahassee, FL

19h•Onsite

About The Position

AtkinsRéalis is seeking an AI and Data Science Specialist to join its team in Tallahassee, Florida. The role is embedded full-time at the Florida Department of Transportation (FDOT) client office five days a week. The specialist will work with industry experts and multidisciplinary project teams to address business challenges through data science, machine learning, and artificial intelligence, and will support data and AI strategy and project delivery. The position involves analyzing structured and unstructured data; designing, developing, optimizing, and deploying production AI/ML models and predictive analytics; and creating generative AI applications using large language models such as GPT, Claude, and Gemini. Solutions may include AI copilots, chatbots, retrieval-augmented generation (RAG) systems, AI agents, NLP applications, computer vision, dashboards, and reporting tools. The specialist will use technologies including Python, Power BI or similar tools, databases, SQL, and Azure and/or AWS. The role also includes mentoring junior colleagues and communicating technical findings to clients, stakeholders, and leadership. The role requires a bachelor's degree in a quantitative or related field and relevant experience in data science, analytics, AI, or machine learning, with alternative experience thresholds specified for master's degree holders and candidates with direct AI/ML application development experience. A master's degree is preferred. AtkinsRéalis describes its values as Safety, Integrity, Collaboration, Innovation, and Excellence. Depending on employment status, benefits may include medical, dental, and vision coverage, company-paid life and disability benefits, an employer-matched 401(k), an employee stock purchase plan, paid time off, leave options, flexible work options, employee assistance, recognition programs, and voluntary benefits.

Requirements

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Artificial Intelligence, Machine Learning, or a related quantitative field.
Five or more years of experience in data science, analytics, AI, or machine learning; four or more years with a master's degree; or three or more years of direct AI/ML application development experience.
Experience designing, building, and deploying AI/ML solutions in production environments.
Experience with large language models and generative AI technologies.
Strong Python programming skills.
Experience building AI copilots, chatbots, RAG systems, AI agents, NLP solutions, computer vision applications, or predictive analytics tools.
Experience with databases, SQL, Power BI and/or Tableau, and cloud platforms including Azure or AWS.
Strong technical writing, communication, presentation, analytical, and problem-solving skills.
Ability to communicate technical concepts to non-technical audiences and work effectively in a collaborative, client-focused environment.
Demonstrated commitment to innovation, quality, teamwork, professionalism, and continuous improvement.
Ability to work at the FDOT client office five days a week in Tallahassee, Florida.

Nice To Haves

Master's degree in a relevant field.

Responsibilities

Collaborate with industry experts to solve complex business challenges using data science, machine learning, and AI.
Collect, organize, and analyze structured and unstructured data to identify trends and actionable insights.
Design, develop, optimize, and deploy machine learning models and predictive analytics solutions.
Develop generative AI applications using LLMs such as GPT, Claude, and Gemini.
Build AI-powered tools, including copilots, chatbots, RAG systems, AI agents, NLP applications, computer vision solutions, and predictive analytics tools.
Develop dashboards and reporting tools using Power BI or similar technologies.
Support data and AI strategy development within multidisciplinary project teams.
Mentor junior team members and communicate technical findings to clients, stakeholders, and leadership.
Use cloud technologies, including Azure and/or AWS, to support AI and analytics solutions.
Participate in project meetings, design reviews, and client engagements to support successful project delivery.
Perform other duties as assigned.