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Head - Analytics & Data Scientist

TalentGen Advisory LLP
Bangalore
12 - 15 Years

Posted on: 20/08/2025

Job Description

About the client :
For one of my Fintech Unicorns


Job Title : Head of Analytics / Data Science


Location : Bengaluru


Job Summary :


We are seeking a strategic, hands-on, and visionary Head of Analytics / Data Science to lead our data function and drive data-driven decision-making across the organization. You will be responsible for building and managing a high-performing team, developing our data strategy, and delivering impactful insights and predictive models that fuel business growth and operational excellence.


Key Responsibilities :


Leadership & Strategy :


- Define and execute the data science and analytics strategy aligned with business goals.


- Lead, mentor, and grow a cross-functional team of data scientists, analysts, and data engineers.

- Evangelize data-driven culture across departments and influence stakeholders at all levels.


Analytics & Insight :


- Design and oversee execution of advanced analytics projects, including predictive modeling, segmentation, A/B testing, and customer analytics.


- Translate complex data into actionable business insights and storytelling dashboards.

- Partner with product, marketing, operations, and finance teams to inform strategic decisions.


Data Science & Machine Learning :


- Guide the design, development, and deployment of scalable machine learning models and algorithms.


- Ensure robust evaluation frameworks and model monitoring are in place.


Data Infrastructure & Governance :


- Collaborate with engineering to ensure the data architecture supports business intelligence and advanced analytics.


- Promote data quality, security, compliance, and ethical data use.


Stakeholder Management :


- Present findings to C-level executives and collaborate closely with key business leaders.


- Prioritize analytics efforts based on business impact and feasibility.


Requirements :


- Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or related field (Ph.D. a plus).


- 10+ years of experience in analytics/data science roles, with at least 35 years in a leadership capacity.

- Proven track record of delivering business impact through data initiatives.

- Deep expertise in statistical modeling, machine learning, and analytics tools (e.g., Python, R, SQL, Spark).

- Experience with BI tools (e.g., Tableau, Power BI, Looker) and data platforms (e.g., Snowflake, Redshift, BigQuery).

- Strong understanding of data governance, privacy, and regulatory frameworks.

- Exceptional communication, leadership, and stakeholder management skills.


Nice to Have :


- Familiarity with cloud platforms (AWS, GCP, Azure).


- Start-up or high-growth environment experience.


Budget : 1.25 -1.5 Crore + Stocks


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