Our Vision

Afiniti’s vision is to lead the contact centre industry by delivering innovative AI solutions that uniquely enhance customer lifetime value and operational efficiency, earning us the trust of leading consumer companies worldwide.

Our Ways of Working

At Afiniti, how we work is just as important as what we achieve. Our Ways of Working are ten guiding principles that define the standards and behaviors we hold ourselves accountable to every day. They push us to act with urgency and discipline, to innovate with data and facts, and to always see our work through the eyes of our clients. These principles are not abstract values - they are actionable commitments that shape daily decisions, strengthen collaboration, and ensure we deliver outcomes that matter.

Together, they encourage us to be intentional in how we prioritize and execute, to confront challenges and conversations directly, and to embrace the richness of our global community with respect and openness. They remind us to celebrate excellence, show kindness, and assume good intentions in every interaction. By living these principles consistently, we build the culture we aspire to - one that is ambitious, respectful, and relentlessly focused on creating meaningful impact for our clients and each other.

The Role

Data Scientist II

Reporting to: Director – Data Science

Location

Pakistan

Work Environment: Hybrid

About The Role

Afiniti is looking for a Data Scientist II who combines analytical precision, problem-solving skills, and a passion for uncovering insights through data. Reporting to the Manager, Data Science, you will play a critical role in designing, developing, and optimizing Afiniti’s AI-driven pairing and recommendation models that power human interactions at scale.

As part of the Data Science team, you will apply statistical inference, predictive modeling, and machine learning techniques to large-scale datasets across diverse industries including telecommunications, healthcare, banking, and travel. You will work collaboratively with analytics, product, and engineering teams to translate theoretical concepts into deployable, measurable business impact. This position offers an exciting opportunity to work in a global, fast-paced environment with exposure to cutting-edge AI and data solutions.

What Will be Your Key Deliverables

• Perform statistical inference and advanced analysis on large datasets to identify key drivers and inform decision-making.
• Build, test, and refine predictive models and algorithms that optimize customer-agent pairing and next-best-action recommendations.
• Conduct performance analyses using real-time control groups to measure the impact of Afiniti’s AI deployments.
• Translate abstract or ambiguous problems into tractable, data-driven solutions.
• Collaborate with cross-functional teams (analytics, product, and engineering) to operationalize models and insights.
• Communicate findings clearly and effectively to both technical and non-technical audiences.
• Lead or support production activities for deployed AI models, ensuring performance monitoring and reliability.

Who You Are

Experience: 2–3 years of experience in data science, machine learning, or applied statistics, ideally within technology-driven or large-scale analytical environments.

Education: Bachelor’s or Master’s degree in Computer Science, Mathematics, Economics, Physics, Engineering, or a related quantitative discipline.

Skills:

• Strong command of Python, R, or Julia for data analysis and modeling.
• Proficiency in SQL and experience with relational databases.
• Solid foundation in statistics, machine learning, and mathematical optimization.
• Hands-on experience working with large datasets, data visualization, and analytical reporting.
• Familiarity with tools like Git, Jupyter, or R Markdown for reproducible research and collaboration.
• Strong attention to detail, with the ability to manage projects independently and deliver high-quality work under deadlines.
• Excellent communication and collaboration skills in a cross-functional setting.

Behavioral Traits: Analytical, curious, collaborative, and able to thrive in a dynamic, research-oriented environment.

Nice to have

• Proficiency in Bayesian statistics, hierarchical modeling, MCMC algorithms, or latent factor models.
• Familiarity with Airflow or similar workflow orchestration tools.
• Experience with cloud-based data processing or distributed computing frameworks.
• Exposure to production-level machine learning deployment and monitoring.

What success looks like

In this role, you will be successful if you:

• Deliver robust, interpretable models that improve measurable business outcomes for clients.
• Demonstrate initiative in translating theoretical models into scalable, production-ready solutions.
• Collaborate seamlessly with analytics, engineering, and product teams to integrate insights into Afiniti’s systems.
• Uphold high standards of analytical accuracy, reproducibility, and documentation.

Why should you apply

• Opportunity to work at the forefront of applied AI, using advanced data science techniques to solve real-world business problems.
• Exposure to large-scale, high-impact projects across industries and regions.
• Professional growth through collaboration with world-class data scientists and ongoing learning opportunities.
• Work within a hybrid model that allows flexibility while maintaining collaboration with a global team.

What will make you stand out in the crowd

You are someone who thrives on solving complex analytical challenges and bringing structure to ambiguity. You balance statistical rigor with practical problem-solving and communicate insights with clarity. Your curiosity, ownership, and collaborative spirit make you an integral part of Afiniti’s mission to make human connections more valuable through AI.

We believe that richness in diversity is a huge asset for Afiniti. We value both the similarities and differences in everyone who is a part of the Afiniti team. We believe that this diversity builds a stronger organization and is in keeping with the core values of our company. Our policy, therefore, is to provide equal employment opportunities for all applicants and employees without regard to race, color, religion, sex (including pregnancy, childbirth, related medical conditions, breastfeeding or reproductive health decisions), gender identity or expression, national origin, age, marital status, ancestry, physical or mental disability, sexual orientation, personal appearance, genetic information, family responsibilities, matriculation, political affiliation, military or veteran status, or any other category protected under applicable federal, state or local law. This means that we comply with all applicable human rights and employment legislation, and we do not discriminate in any aspect of employment, including recruiting, hiring, compensation, promotions, reductions in force, or terminations.