Data Science Analyst

Description

ISP Data Science - Analyst Role Profile
Location: Bangalore, India
Purpose of Role
We are seeking a highly skilled and data-driven Data Science - Analyst to join our team. The ideal candidate will leverage advanced data analytics and AI techniques along with business heuristics to analyse student enrolment and retention data, identify trends, and provide actionable insights to support ISP and its schools’ enrolment goals. This role is critical for improving student experiences, optimising resource allocation, and enhancing overall enrolment and retention performance. The successful candidate will bring strong expertise in Python or equivalent-based statistical modelling (including propensity modelling), experience with Azure Databricks for scalable data workflows, and advanced skills in Power BI to build high-impact visualisations and dashboards. The role requires both technical depth and the ability to translate complex insights into strategic recommendations. ISP Principles
Begin with our children and students. Our children and students are at the heart of what we do. Simply, their success is our success. Wellbeing and safety are both essential for learners and learning. Therefore, we are consistent in identifying potential safeguarding and Health & Safety issues and acting and following up on all concerns appropriately.
Treat everyone with care and respect. We look after one another, embrace similarities and differences and promote the well-being of self and others.
Operate effectively. We focus relentlessly on the things that are most important and will make the most difference. We apply school policies and procedures and embody the shared ideas of our community.
Are financially responsible. We make financial choices carefully based on the needs of the children, students and our schools.
Learn continuously. Getting better is what drives us. We positively engage with personal and professional development and school improvement.
ISP Data Science - Analyst Key Responsibilities

• Data Analysis:
• Collect, clean, and preprocess, enrolment, retention, and customer satisfaction data from multiple sources.

• • Analyse data to uncover trends, patterns, and factors influencing enrolment, retention, and customer satisfaction.
• AI and Machine Learning Implementation:

• Expertise in developing and deploying propensity models to support customer acquisition and retention activities and strategy.
• Experience with Azure, Databricks (and other equivalent platforms) for scalable data engineering and machine learning workflows.

• • Develop and implement AI models, such as predictive analytics and propensity models to forecast enrolment patterns and retention risks.
  • Use machine learning algorithms to identify high-risk student populations and recommend intervention strategies.
  • Support lead scoring model development on HubSpot CRM.
  • Collaborate with key colleagues to understand and define the most impactful use cases for AI and Machine Learning.
  • Analyse cost/benefit of deploying systems and provide recommendations.
• Reporting and Visualisation:
• • Create relevant dashboards on MS Power BI, reports, and visualisations to communicate key insights to stakeholders.
  • Present findings in a clear and actionable manner to support decision-making.
• Collaboration:
• • Work closely with key Group and Regional colleagues to understand challenges and opportunities related to enrolment and retention.
  • Partner with IT and data teams to ensure data integrity and accessibility.
• Continuous Improvement:
• • Monitor the performance of AI models and analytics tools, making necessary adjustments to improve accuracy and relevance.
  • Stay updated with the latest advancements in AI, data analytics, and education trends.

Skills, Qualifications and Experience

• Education:
• • Bachelor’s degree in Data Science, Computer Science, Statistics, or a related field (Master’s preferred).
• Experience:
• • At least 2 years’ experience in data analytics, preferably in education or a related field
  • Experience in implementing predictive models - propensity models and interpreting their results.
  • Strong Python skills for statistical modelling, including logistic regression, clustering, and decision trees.
  • Hands-on experience with Azure Databricks is highly preferred.
  • Strong working knowledge of Power BI for building automated and interactive dashboards.
  • Hands-on experience with AI/ML tools and frameworks and currently employed in an AI/ML role.
  • Proficiency in SQL, Python, R, or other data analytics languages.
• Skills and preferred attributes:
• • Strong understanding of statistical methods and predictive analytics.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI, or similar).
  • Excellent problem-solving, critical thinking, and communication skills.
  • Ability to work collaboratively with diverse teams.
  • Experience in education technology or student success initiatives.
  • Familiarity with CRM or student information systems.

Knowledge of ethical considerations in AI and data privacy laws. ISP Commitment to Safeguarding Principles
ISP is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All post holders are subject to appropriate vetting procedures, including an online due diligence search, references and satisfactory Criminal Background Checks or equivalent covering the previous 10 years’ employment history. ISP Commitment to Diversity, Equity, Inclusion, and Belonging
ISP is committed to strengthening our inclusive culture by identifying, hiring, developing, and retaining high-performing teammates regardless of gender, ethnicity, sexual orientation and gender expression, age, disability status, neurodivergence, socio-economic background or other demographic characteristics. Candidates who share our vision and principles and are interested in contributing to the success of ISP through this role are strongly encouraged to apply.