AI Research Intern
Afiniti
Lahore
3d ago

Who are we?

Afiniti is the world’s leading applied artificial intelligence and advanced analytics provider. Afiniti Enterprise Behavioral Pairing™ uses artificial intelligence to identify subtle and valuable patterns of human interaction in order to pair individuals on the basis of behavior, leading to more successful interactions and measurable increases in enterprise profitability.

Afiniti operates throughout the world and has measurably driven billions of dollars in incremental value for our clients.

Afiniti uses data science and operations research to enhance human interactions in large enterprises by efficiently pairing customers or tasks with company representatives.

Our primary focus is improving contact center interactions for sales, service, retention, collections, and customer satisfaction in fields ranging from telecommunications to healthcare to banking to hospitality.

To ensure we’re delivering value, we measure performance using a real-time control group routing a portion of calls using the client’s existing system and the majority of calls using our data-scientist-designed pairing and next best action recommendation strategies.

Clients are billed on our incremental improvement, so model quality is central to our product.

Key Responsibilities

  • Identify the business cases where our research methods / tools can add value.
  • Conduct empirical research and develop methods / tools to help improve the effectiveness of our modeling tools and runtime applications.
  • Synthesize research literature in the areas of statistical modeling, machine learning, operations research and identify if they can be built into our tools.
  • The ideal Candidate will have

  • Experience with statistics, machine learning, linear programming, or mathematical optimization, both practical and theoretical
  • Familiarity with at least one programming language for data analysis such as R, Python, or Julia
  • Familiarity with SQL, relational databases, version control, and tools for reproducibility such as git, Jupyter and R Markdown, make, or authoring custom packages
  • Ability to document and explain cutting-edge techniques to other team members
  • Comfort working in a collaborative environment with cross-team communication to bring projects into production
  • Familiarity with reinforcement learning, dynamic programming, multi-armed bandits would be a plus.
  • Education and Qualifications

  • Enrolled in a graduate degree program in Statistics, Mathematics, Econometrics, Operations Research, or other field with relevant research
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