Position

1. Job Title - Data Scientist

2. Job Location- Mohali/Bangalore

Business Setting

Vision

Iota Analytics aims to be a leading current age product-led provider of legal and intellectual asset management (IAM) services to corporate counsels, law firms and R&D; leads across US and Europe. We are on the cutting edge of legal
and IPR services – with a mix tech, data and an incredible team of professionals.

Company Overview

Headquartered in UK, with offices in UK, US, and India, Iota Analytics is a legal data automation firm. Currently, our India offices are operational from Chandigarh, Mohali, and Noida. Our focus is on providing data and technology-led
insights to corporate counsels, law firms and R&D; leads. We are developing an AI based patent data engine to help R&D; teams protect and maximize the impact of their IP creation efforts. We also provide IP consulting and legal-tech and process services.

The business is headquartered in London, with 250+ (growing every month) team of attorneys, engineers, and data scientists, spanning across leadership, R&D;, service delivery, sales and enabling functions. Iota Analytics is run and
governed by a highly experienced, diverse, and gilt-edged management team and board.

Iota Analytics has three business lines:

- Smart Intellectual Asset Management Engine: industry-specific insights leveraging curated patent data, for R&D; teams to protect and maximise the impact of their IP investments
- Legal-tech and Process Automation: smart e-Discovery, Automation and Research solutions
- IAM Consulting: IP consulting spanning the entire technology development lifecycle - from ideation to commercialisation

Our people are equipped with deep domain knowledge, technical expertise, and are highly committed to our values of quality and shared value creation, taking great pride in their work.

We provide a continuous learning environment for our people to grow and encourage cross-business and cross location (including international) movement. We provide the highest level of data privacy and protection.

JOB DESCRIPTION

Job Summary

(Primary purpose & general description of the role)

- We are seeking a highly skilled Principal Data Scientist to develop AI-powered solutions using AI/ML and Generative AI, transforming complex datasets into actionable business strategies.
- This mid-to-senior-level position requires leadership in data science initiatives, statistical analysis implementation, and cross-functional collaboration to address organizational challenges.
- The ideal candidate will demonstrate proficiency in machine learning algorithms, big data frameworks,



cloud computing platforms (AWS/Azure/GCP), AI and Gen AI technologies (NLP, computer vision, reinforcement learning), and programming languages (Python,
- R, SQL).
- Core responsibilities include implementing end-to-end Gen AI solutions, machine learning pipelines, optimizing data infrastructure, mentoring junior analysts, and effectively communicating technical concepts to non-technical stakeholders.Key Responsibilities:
- Design and Implement Domain Specific Gen AI and Machine Learning Systems: Architect and engineer production-grade Gen AI and predictive models using frameworks such as PyTorch, TensorFlow, and scikit-learn to automate contract analysis,
- case outcome prediction, and legal document classification.
- Develop Advanced Data Structures: Design specialized data schemas, knowledge graphs, and ontologies to represent complex legal relationships, hierarchies, and precedent networks optimized for both human interpretation and machine processing.
- Orchestrate Secure and Compliant ML Pipelines: Design and implement robust MLOps pipelines leveraging cloud platforms (AWS SageMaker, Azure ML, GCP Vertex AI) with strict attention to data sovereignty, privacy regulations, and client confidentiality

requirements.Good to have

- Drive NLP Applications: Develop and fine-tune transformer-based architectures (BERT, GPT, T5) for specialized legal language processing, including precedent analysis, legal citation linking, and regulatory compliance monitoring.
- Implement Data Modelling: Create dimensional models, feature stores, and data warehousing solutions optimized for legal analytics, ensuring data consistency, versioning, and lineage tracking across the organization.
- Lead Data Architecture Design: Engineer distributed computing solutions using technologies such as Spark, Dask, and Ray to process and analyse large-scale legal document repositories, case databases, and regulatory frameworks.
- Develop ETL Pipelines for Data Integration: Design and implement robust data integration processes to normalize, cleanse, and transform heterogeneous legal data sources (court records, contracts, regulations) into unified analytical datasets.
- Implement Statistical Analysis for Risk Assessment: Apply Bayesian methods,



causal inference, and experimental design to quantify legal risks, predict litigation outcomes, and optimize case strategy recommendations.
- Architect Secure Document Processing Systems: Design and implement document processing pipelines using OCR, NER, and knowledge graphs to extract, structure, and analyze legal entities and relationships from diverse document formats.
- Develop Explainable AI Decision Support: Implement model interpretability techniques (SHAP, LIME, feature importance) to provide transparent explanations of model behavior that meet judicial scrutiny and legal practitioner requirements.
- Establish AI Governance Frameworks: Design and implement robust data validation, model versioning, and audit trails to ensure models meet regulatory compliance, ethical standards, and professional responsibility requirements in legal practice.

Qualifications / Work Experience / Skills

Education and Experience:

- Maters / Bachelors in Computer Science with specialization in Data Science, Machine Learning, Statistics, or related quantitative field.
- 10+ years hands-on data science experience, 3+ years in technical leadership.

Technical Skills:

- Advanced proficiency in Python (NumPy, Pandas, SciPy, Scikit-learn), R, and SQL.
- Expertise in developing and deploying ML pipelines using TensorFlow, PyTorch, or similar frameworks.
- Mastery of distributed computing frameworks (Spark, Dask) and cloud-native ML services (SageMaker, AzureML, Vertex AI).
- Deep knowledge of statistical analysis, feature engineering, and model optimization techniques.
- Experience with MLOps practices, model versioning, and deploying models to production environments.
- Gen AI models inference, RAG, fine tuning, orchestration, production deployment and ongoing retraining

Program Management:

- Track record implementing end-to-end ML systems using CI/CD for model training and deployment.
- Proven ability to scope, prioritize, and deliver high-impact data science initiatives.

Soft Skills:

- Exceptional analytical thinking with expertise in experimental design and hypothesis testing.
- Clear technical communication skills for translating complex models to actionable business insights.
- Collaborative approach to cross-functional team leadership and mentoring junior data scientists.

Application Question(s):

- What is your total relevant experience?
- What is your current location?
- You are comfortable with Mohali or Bangalore as your work location?
- Current Salary?
- Expected Salary?
- Notice Period?

Work Location: In person

📌 Data Scientist (Bengaluru)
🏢 Iota Analytics
📍 Bengaluru