Senior Data Modeller Job at Itransition

Senior Data Modeller

Join us as Senior Data Modeller, where you will lead the delivery of advanced an...

Location

India , Mumbai

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Strong experience delivering advanced analytics, BI, ML, and AI solutions within financial services or investment banking
Proven end-to-end ownership of analytics and data science solutions from problem definition to business adoption
Hands-on expertise with modern analytics platforms (e.g., Databricks, Spark, Python, SQL)
Strong SQL skills and understanding of data modelling (conceptual, logical, dimensional)
Experience working in regulated environments with governance, controls, and explainability requirements
Experience collaborating with Data Architects, Data Modelers, and enterprise platform teams
Strong communication and stakeholder management skills

Job Responsibility

Lead the identification, design, and delivery of high-value analytics, BI, ML, and Generative AI use cases across investment banking, risk, regulatory, and operations domains
Design and deploy end-to-end analytics and ML pipelines, including feature engineering, model development, validation, deployment, and monitoring
Own the full ML lifecycle, ensuring explainability, validation, governance, and controlled change in line with enterprise standards
Deliver executive-grade BI dashboards and AI-driven insights for senior stakeholders
Design and implement Retrieval Augmented Generation (RAG) solutions within secure enterprise environments
Build reusable, governed analytics products aligned with enterprise data product standards
Collaborate with Data Architects and Engineers to design and validate conceptual, logical, and dimensional data models
Ensure compliance with Responsible AI, data governance, security, and regulatory frameworks
Provide technical leadership, mentorship, and stakeholder management across teams

What we offer

Access to wellness rooms
Gyms
Mental health support
Collaborative areas
On-site cafeterias
Fitness centers
Tech-equipped workstations

Fulltime

Senior Data Modeller

We are seeking a talented Senior Data Modeller – Analytical Solutions to lead th...

Location

United Kingdom , London

Salary:

Not provided

Itransition

Expiration Date

Until further notice

Requirements

5+ years of dedicated experience in data modelling (not deep hands-on engineering)
Hands-on experience with modern cloud data platforms (Microsoft Fabric and/or Databricks). Experience with Power BI or other Azure Data Services is a significant advantage
Strong experience with SQL. Familiarity with Python/PySpark is a plus
Deep knowledge of modeling approaches such as Kimball, Inmon, and Data Vault 2.0, with the ability to select the most appropriate methodology to address specific business challenges
Experience with enterprise-grade modelling tools (e.g., ER/Studio, Erwin, or Sparx EA)
Strong soft skills and non‑confrontational behavior
Must be UK-based to support the required high-touch stakeholder engagement and "onshore" collaboration model

Job Responsibility

Lead analytical modeling for a new enterprise data platform based on Databricks and Microsoft Fabric, handling both structured and semi-structured data, while following platform-agnostic best practices
Create and maintain data mapping artifacts to support analytics, integration, and migration initiatives
Establish modeling patterns suitable for lakehouse, medallion, and semantic-layer architectures
Ensure alignment between physical analytical models and enterprise semantic definitions
Act as the primary interface between business stakeholders and the data engineering team, with a strong emphasis on data modeling rather than hands-on engineering
Translate complex business logic into high-quality documentation, lineage, and models that engineers can implement with precision
Conduct deep-dive sessions to audit and remediate complex or poorly structured data structures in the current environment
Establish enterprise data modeling standards that prioritize data integrity, portability, and long-term flexibility
Lead data profiling activities to ensure physical implementations align with defined data models

What we offer

Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
Competitive compensation that depends on your qualification and skills
Career development system with clear skill qualifications
Flexible working hours aligned to your schedule
Options to work remotely
Corporate medical insurance covering services of private and public medical centers
Corporate parties and events for employees and their children
Internal conferences, workshops and meetups for learning and experience sharing
Gym membership compensation
5 days of paid sick leave per year with no obligation to submit a sick-leave certificate

Data Scientist / Senior Data Scientist

Seeking multiple experienced Data Scientists & Senior Data Scientists with exper...

Location

Australia , Melbourne

Salary:

140000.00 - 229000.00 AUD / Year

Randstad

Expiration Date

July 03, 2026

Requirements

Deep, hands on experience in Data & AI Science
Experience utilising ML models to support complex, high impact solutions
Experience with AI coding tools
Python Experience
Ability to present to and engage with a range of senior stakeholders
Provide a deeper contribution to solution design and architecture
Ability to be a thought leader in your team

Job Responsibility

Contribute to the design, build and deployment of agentic solutions across a range of projects that support the broader organisation and their customers

Fulltime

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Senior Data / Data Warehouse (DWH) Engineer

We are looking for a Senior Data / Data Warehouse Engineer to design and deliver...

Location

Czechia , Prague

Salary:

70000.00 - 80000.00 CZK / Year

Algoteque

Expiration Date

Until further notice

Requirements

Strong experience in data engineering and data warehouse development
Hands-on experience with ETL/ELT pipeline design and implementation
Proficiency in SQL and experience with PL/pgSQL stored procedures
Experience with DBT for data modeling and transformation
Experience building APIs or data access layers using FastAPI
Strong understanding of data modeling concepts for OLTP and OLAP systems
Experience implementing data quality checks, validation, and reconciliation processes
Familiarity with Agile methodologies and tools such as Jira
Strong communication skills and ability to collaborate with cross-functional and distributed teams

Job Responsibility

Own end-to-end data engineering and DWH delivery, from requirements and design to development, validation, and deployment
Design and maintain data models, data marts, and table structures for OLTP and OLAP reporting
Develop and maintain ETL/ELT pipelines and DBT-based transformation layers
Build automated data pipelines and FastAPI-based data access layers for application integration
Implement data validation, reconciliation, and quality checks using SQL
Optimize and maintain PL/pgSQL stored procedures for data processing
Collaborate with cross-functional and distributed teams to ensure timely and high-quality delivery
Work in an Agile environment using Jira and support demos or user training when needed

Fulltime

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Advanced degree (Master’s or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline
Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics
Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)
Strong applied statistics skills for: Risk modeling
Predictive analytics
Pricing & underwriting analytics
Catastrophe exposure analysis
Proficiency in statistical and machine learning techniques, including: Regression (GLM, GAM, GAMMs)
Time-series forecasting
Gradient boosting, random forests, and other tree-based models, neural networks models

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions
Conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Software Developer - Senior / Senior Data Engineer

Imagine being at the forefront of protecting financial integrity and enabling cr...

Location

United States , Southlake, TX or Austin, TX

Salary:

55.92 - 62.13 USD / Hour

Aquent

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering, or a related field
8+ years of hands-on experience in data management, including gathering data from diverse sources, consolidating it into centralized locations, and transforming it with business logic for consumption in visualization and data analysis
Strong expertise in BigQuery, Cloud Storage, Dataflow, Pub/Sub, Cloud Composer, and related cloud platform services
Proficiency in Python and SQL for data processing and automation
Extensive experience with ETL processes and data pipeline design
Excellent problem-solving skills and meticulous attention to detail
Strong communication and collaboration skills, with the ability to actively listen, dialogue freely, and verbalize ideas effectively
Ability to thrive in an Agile work environment, delivering incremental value to customers by effectively managing and prioritizing tasks

Job Responsibility

Design, build, and maintain robust and scalable data pipelines using cloud platform tools such as BigQuery, Cloud Storage, Dataflow (Apache Beam), Cloud Composer (Airflow), and Pub/Sub
Develop high-performance, production-grade Python and SQL code, optimizing queries for efficient data extraction, transformation, and loading (ETL) processes
Implement complex data models in BigQuery, leveraging partitioning, clustering, and materialized views to achieve optimal performance
Collaborate closely with cross-functional teams, including business customers and Subject Matter Experts, to gather data requirements and deliver impactful solutions
Implement and uphold best practices for data quality, data governance, and data security
Proactively monitor and troubleshoot data pipeline issues, ensuring high availability and performance of critical data flows
Contribute to strategic data architecture decisions, providing recommendations for continuous improvement of data pipelines
Stay current with emerging trends and technologies in cloud-based data engineering and cyber security to drive innovation
Lead investigation and resolution efforts for identified data issues, taking ownership to resolve them in a timely manner
Document processes and procedures thoroughly for producing accurate metrics and ensuring operational clarity

What we offer

subsidized health, vision, and dental plans
paid sick leave
retirement plans with a match

Data Scientist / Senior Data Scientist

Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Da...

Location

United States , Atlanta, GA/Boston, MA/San Ramon, CA

Salary:

100000.00 - 160000.00 USD / Year

Berkshire Hathaway Specialty Insurance

Expiration Date

Until further notice

Requirements

Ph.D. or M.S. in data science, civil engineering, atmospheric science, actuarial science, computer science, mathematics, or a related field
3-6 years of industry experience is preferred and required for the Senior Data Scientist level role
Advanced knowledge of probability theory, statistics, and machine learning methods is required
Practical experience in insurance, catastrophe model development, cyber and casualty risk modeling, and/or exposure data collection is preferred
Experience applying advanced statistical techniques and machine learning to large data sets, especially in areas of structural performance, natural catastrophe hazard, building exposure data, geospatial data, or insurance claims data
Familiarity with large language models (LLMs), retrieval-augmented generation (RAG), and their application in data-driven workflows is a plus
Strong written and verbal communication skills
Strong programming skills in Python (preferred), R, and SQL
Experience and understanding of relational and non-relational databases preferred
Comfort working within git-based version-control environments

Job Responsibility

Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets
Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk
Work with domain experts across teams and perils to enhance our use of available data
Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions

What we offer

Comprehensive Health, Dental and Vision benefits
Disability Insurance (both short-term and long-term)
Life Insurance (for you and your family)
Accidental Death & Dismemberment Insurance (for you and your family)
Flexible Spending Accounts
Health Reimbursement Account
Employee Assistance Program
Retirement Savings 401(k) Plan with Company Match
Generous holiday and Paid Time Off
Tuition Reimbursement

Fulltime

Senior Data Scientist, Data Management

Senior Data Scientist, Data Management - Remote, US. ICON plc is a world-leading...

Location

United States , Raleigh, Blue Bell

Salary:

Not provided

iconplc

Expiration Date

Until further notice

Requirements

Domain expertise in one or more targeted areas of the Revenue Cycle Management processes
Proficient in deterministic and probabilistic linkage concepts/methodologies to support patient journeys derived from anonymized RCM data
Advanced degree in a relevant field such as data science, statistics, computer science, or mathematics
Extensive experience in data science, with a strong track record of developing and implementing complex models and analyses
Proficiency in statistical analysis, machine learning techniques, and data visualization tools, with expertise in programming languages such as Python or R
Excellent problem-solving skills and the ability to manage multiple projects and priorities effectively
Outstanding communication and interpersonal skills, with the ability to present complex data insights clearly and collaborate with stakeholders across the organization

Job Responsibility

Designing and implementing advanced data models and algorithms to solve complex business problems and drive strategic insights
Conducting in-depth analyses of large and diverse data sets to uncover patterns, trends, and correlations that inform decision-making
Collaborating with cross-functional teams to understand business needs, translate them into analytical solutions, and communicate findings effectively
Developing and deploying machine learning models and statistical techniques to enhance predictive capabilities and optimize business processes
Providing thought leadership on data science best practices and emerging technologies to drive innovation and continuous improvement

What we offer

Various annual leave entitlements
A range of health insurance offerings to suit you and your family’s needs
Competitive retirement planning offerings to maximize savings and plan with confidence for the years ahead
Global Employee Assistance Programme, LifeWorks, offering 24-hour access to a global network of over 80,000 independent specialized professionals who are there to support you and your family’s well-being
Life assurance
Flexible country-specific optional benefits, including childcare vouchers, bike purchase schemes, discounted gym memberships, subsidized travel passes, health assessments, among others

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Senior Data Modeller

Job Description

Job Responsibility

Requirements

What we offer

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