Legal Data Scientist/Analyst (Predictive Analytics & Operations)
Leading Specialized Law Firm – Driving Data-Driven Legal Strategy
| Job ID | Grade | Location | Employment Type |
| SHL-ANL-L4 | L4 | Mumbai, Maharashtra | Full-time |
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Compensation & Innovation Incentives
| Annual Salary Range | Reporting To | Impact |
| ₹12 – ₹20 lakhs per annum | Senior Partner/Head of Operations | Driving predictive strategy and optimizing firm-wide efficiency. |
About the Firm & The Opportunity
We are a forward-thinking, specialized law firm focused on complex Criminal Law, Financial Crime, and Cyber Litigation. We leverage technology and data science to gain a competitive edge in strategic decision-making and operational efficiency.
We seek a seasoned Legal Data Scientist/Analyst to join our team. This role is crucial for applying predictive analytics to case outcomes, optimizing resource allocation, and transforming our internal operations through data-driven insights.
Required Qualifications & Experience
Essential Qualifications
- Educational Background: Master’s degree (or equivalent experience) in Data Science, Statistics, Computer Science, or a quantitative field. A strong understanding of the legal domain is required.
- Work Experience: A minimum of 4 to 7 years of dedicated experience in a Data Analyst or Data Scientist role, with at least 2 years working specifically with legal data, business intelligence (BI), or operational data within a professional services environment.
- Technical Proficiency: Expert proficiency in:
- Programming: Python (with Pandas, NumPy, Scikit-learn) or R for statistical analysis.
- Databases: SQL and experience working with large, structured, and unstructured datasets.
- Visualization: Advanced skills in BI tools like Tableau, Power BI, or Google Data Studio for creating dashboards and reports.
- Analytical Skills: Proven experience developing, validating, and deploying predictive models (e.g., machine learning, regression analysis) to forecast outcomes or identify trends.
Preferred Skills & Attributes
- Legal Domain Knowledge: Familiarity with legal metrics (e.g., billing realization, matter volume, cycle time) and legal data sources (e.g., case management systems, billing systems, public court data).
- NLP/Text Mining: Experience with Natural Language Processing (NLP) techniques to extract insights from legal text (e.g., judgments, contracts, pleadings).
- Strategic Communication: Exceptional ability to translate complex technical findings and data narratives into clear, actionable business strategies for non-technical senior management and Partners.
- Problem-Solving: Strong initiative and ability to identify data sources and design analytical solutions for ambiguous legal problems.
Key Responsibilities
- Predictive Modeling: Develop and maintain statistical models to provide predictive analytics on case outcomes, litigation duration, and client risk profiles to inform Partners’ strategic decisions.
- Operational Optimization: Analyze internal operational data (e.g., time entry, resource allocation, billing cycles) to recommend and implement data-driven process improvements that enhance firm efficiency and profitability.
- Dashboard & Reporting: Design, build, and maintain interactive BI dashboards that provide real-time performance monitoring and key operational insights for firm management.
- Data Strategy: Work with the IT and administrative teams to structure and cleanse internal and external data sources for analytical readiness.
- Ad-hoc Analysis: Conduct deep-dive analysis on specific client or market trends as required by the legal teams.
What We Offer (Innovation & Growth Benefits)
- Competitive Salary: An attractive compensation package tailored for a highly specialized skill set in the evolving field of Legal Tech.
- Innovation Fund: We provide a dedicated Innovation Fund and executive support, encouraging you to propose, champion, and lead data-driven projects that can fundamentally transform our legal practice.
- Strategic Role: You will have direct, high-level exposure and influence on the firm’s strategic planning and technological roadmap.
- Professional Development: Support for industry certifications (e.g., specialist data science courses, legal tech certifications).
Application Details
| Date Posted | Application Deadline | Selection Process |
| February 8, 2026 | March 8, 2026 | Multi-stage interview including a technical challenge/case study requiring data analysis and presentation. |
How to Apply: Submit your detailed CV and a mandatory cover letter highlighting your experience in data science, specifically mentioning any projects related to legal, risk, or financial services data, to the careers portal
Ready to Apply? Here’s Your Next Step! 💡
If you found this page via a search engine, there’s a better way to start your application. We’ve created a central careers portal that has everything you need to find the perfect role and apply seamlessly.
To ensure a smooth and informed application process, please visit our main careers page at: www.shoebhakim.com/careers
Already on the Careers Journey?
If you came from our careers page, you are in the right place! Please proceed with your application for the job you’ve selected directly from this page.
Ready to Take the Next Step? Apply for this Job
Ready to Apply? Here’s Your Next Step! 💡
If you found this page via a search engine, there’s a better way to start your application. We’ve created a central careers portal that has everything you need to find the perfect role and apply seamlessly.
To ensure a smooth and informed application process, please visit our main careers page at: www.shoebhakim.com/careers
Already on the Careers Journey?
If you came from our careers page, you are in the right place! Please proceed with your application for the job you’ve selected directly from this page.