Latest Jobs at Reliance HMO

The ideal candidate is highly analytical, curious, and collaborative, with experience in end-to-end data science project delivery, including model deployment, experimentation, and evaluation.

As a Data Scientist, you will do the following:

• Lead end-to-end data science projects, from data collection and preprocessing to model deployment and delivery
• Design, implement, and maintain advanced ML models, including regression, clustering, anomaly detection, and NLP applications
• Write optimized SQL queries to extract, manipulate, and analyze large datasets
• Translate complex data insights into actionable recommendations for technical and non-technical stakeholders
• Collaborate with cross-functional teams to define data requirements and implement scalable analytical solutions
• Monitor model performance, conduct A/B tests, and implement improvements to maintain accuracy and reliability
• Document methodologies, workflows, and data dictionaries to ensure reproducibility and knowledge sharing
• Mentor and guide junior data scientists, promoting best practices and technical excellence

Requirements

• Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related field
• Minimum 4-5 years of experience in data science, analytics, or ML roles, including production-level model deployment
• Expertise in at least two areas of data science, managing projects end-to-end from technical implementation to stakeholder delivery
• Strong proficiency in Python or R for data manipulation, ML modeling, and NLP
• Expert-level SQL skills for large-scale data querying and analysis
• Experience with regression, clustering, anomaly detection, NLP, and conducting experiments/A-B tests
• Skilled in ML frameworks (scikit-learn, TensorFlow, PyTorch) and visualization tools (Tableau, Power BI, matplotlib, seaborn)
• Solid understanding of statistics, hypothesis testing, and experimental design
• Strong communication and collaboration skills to influence technical and non-technical stakeholders
• Proven ability to mentor junior staff and lead projects that deliver measurable business impact

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• We are looking for a detail‑oriented and process‑driven Senior Reliance Care Associate to strengthen the quality and effectiveness of our customer support operations across phone, chat, and email. The ideal candidate will bring strong experience in quality assurance, customer service excellence, and support‑tool optimization, with a passion for improving both team performance and the customer experience.
• This role is perfect for someone who is both analytical and collaborative, thrives in a fast‑paced environment, and is committed to driving continuous improvement across support teams and systems.

As the Senior Reliance Care Associate, you will:

Quality Assurance

• Check the quality of customer conversations across phone, chat, and email to make sure they meet our standards.
• Create and use scorecards to measure how well team members are doing.
• Run regular checks (audits) to find problems and areas where we can do better.
• Make sure the team follows our rules and meets our service level agreements (SLAs).
• Find ways to improve how we work and make customers happier.

Team Leadership and Coaching

• Lead and support a team of 10 or more customer support agents.
• Have regular one-on-one meetings to give feedback and help team members grow.
• Train team members on how to handle difficult customer situations.
• Create plans to help each person on the team get better at their job.
• Handle escalating customer issues that need senior attention.

Complex Case Management

• Manage difficult customer cases that involve multiple health issues or tricky situations.
• Work with other teams (like medical, claims, or operations) to solve complex problems.
• Oversee emergency scenarios and make sure serious cases are handled properly.
• Make sure problems that are not solved on the first contact are followed up and closed.

Data and Reporting

• Use data to find patterns, problems, and opportunities to improve.

• Create reports and dashboards to track team performance (CSAT, AHT, FCR, QA scores).
• Share insights with leadership to help make better decisions.
• Track and report on whether we are meeting our SLAs and turnaround times.

Systems and Process Management

• Set up and manage Zoho Desk to help the team work efficiently.
• Create workflows, automation rules, and ticket routing to speed up work.
• Design templates and macros so the team can respond to customers faster.
• Write and update Standard Operating Procedures (SOPs) for the team to follow.

Requirements

• Bachelor's degree (any discipline)
• Must have completed NYSC or have a valid letter of exemption.
• Minimum 3 years’ experience in customer support operations
• Minimum 1 -2 years’ experience in quality assurance (checking work quality, creating scorecards, coaching team members
• Experience leading or supervising a team of 5 or more people
• Experience using any ticketing or helpdesk software (e.g., Zendesk, Freshdesk, Intercom, Zoho Desk)
• Good skills in Excel or Google Sheets (can create reports, use formulas, make charts)
• Strong written and spoken communication skills

Nice To Have

• Experience with Zoho Desk specifically
• Experience in health tech or health insurance industry
• Experience with data analysis or basic SQL
• Experience setting up automation and workflows in support software

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• We are hiring an Associate Data Scientist to transform complex data into actionable insights, partnering with stakeholders to solve business challenges through statistical analysis, machine learning, and compelling data storytelling. The ideal candidate is analytical, curious, and collaborative, skilled in data analysis, visualization, and communication, and able to translate raw data into clear, impactful recommendations.

As an Associate Data Scientist, you will do the following:

• Collect, clean, and preprocess structured and unstructured datasets for analysis and modeling
• Build, validate, and deploy statistical and machine learning models to solve business problems
• Write optimized SQL queries to extract and manipulate data from relational databases
• Develop insightful dashboards and visualizations using tools such as Power BI, Tableau, or similar
• Translate technical findings into clear, actionable insights for both technical and non-technical stakeholders
• Collaborate with cross-functional teams (engineering, product, operations) to define data requirements and deliver analytical solutions
• Continuously monitor model performance and retrain or improve algorithms as needed
• Document methodologies, workflows, and data dictionaries to ensure reproducibility
• Stay updated with emerging data science, AI/ML, and analytics best practices

Requirements

• Bachelor's degree (or higher) in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field
• Minimum 2-3 years of proven experience in data analysis, business intelligence, or data science roles
• Strong SQL skills with hands-on experience querying and joining large datasets
• Proficiency in Python or R for data manipulation, statistical analysis, and modeling
• Experience with data visualization tools (e.g., Tableau, Power BI, matplotlib, seaborn)
• Solid understanding of statistical concepts, hypothesis testing, and data modeling
• Familiarity with machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Experience with version control tools (e.g., Git)
• Strong communication skills for technical and non-technical audiences