Lead Data Modeler Job at Randstad (London)

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
Advanced proficiency in SQL and relational database concepts
Strong programming experience in Python (required)
PySpark preferred
Hands-on experience building and deploying machine learning models (supervised and unsupervised)
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
Strong knowledge of statistical modeling, feature engineering, and model validation techniques
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
Experience working with large-scale enterprise or financial datasets

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management

Fulltime

New

Data Engineer Lead (OT Data)

Data Engineer (OT Data) (Category - Engineer) Sector: Oil and Gas Location: Doha...

Location

Qatar , Doha

Salary:

Not provided

Codvo AI

Expiration Date

Until further notice

Requirements

Bachelor's in engineering, Information Systems, or a related quantitative field
5+ years of proven experience in a data engineering role
Experience within oil and gas industry is highly preferred
Demonstrable experience building and operationalizing large-scale data pipelines and applications

Job Responsibility

Architect & Build Data Pipelines: Design, construct, install, test, and maintain highly scalable data management systems and ETL/ELT pipelines
Integrate Diverse Data Sources: Develop processes to ingest and integrate high-volume, high-velocity data from SCADA systems, historians (like OSIsoft PI, Aspen InfoPlus.21), DCS, PLC, and IoT sensors
Cloud Data Platform Development: Implement and manage data solutions on the Microsoft Azure cloud platform, Leveraging services like Azure IoT Hub, Azure Event Hubs, and Azure Stream Analytics for real-time ingestion and processing of operational technology (OT) data
Data Modelling & Warehousing: Design and implement data models optimized for time-series data from industrial assets, supporting operational dashboards and real-time analytics
Enable Advanced AI: Build the data infrastructure to support AI/ML models for predictive maintenance, operational anomaly detection, and process optimization using real-time OT data
Champion Master Data Management (MDM): Design and implement MDM strategies and solutions to create a single, authoritative source of truth for critical data domains such as wells, equipment, and assets, ensuring data consistency across the enterprise
Ensure Data Quality & Governance: Implement robust data quality checks, validation rules, and monitoring to ensure the accuracy, consistency, and reliability of our data. Adhere to and help shape our data governance policies
Embrace Industry Standards: Champion and implement industry-specific data standards and models, such as the OSDU™ Data Platform, to ensure interoperability and a unified data view across the upstream lifecycle
Collaborate & Innovate: Work closely with a cross-functional team of geoscientists, drilling engineers, data scientists, and business analysts to understand their data needs and deliver effective solutions
Automate & Optimize: Identify opportunities for process automation and infrastructure optimization to improve data delivery, scalability, and cost-effectiveness

Fulltime

Tech Lead - Data Solutions & Data Products

The Tech Lead – Data Solutions & Data Products is a senior technical leader resp...

Location

India , Hyderabad; Bangalore

Salary:

Not provided

Beretta Clima Italia

Expiration Date

Until further notice

Requirements

6 to 10 years of experience in data engineering, data architecture, or data platform roles
Proven experience architecting and delivering data solutions on AWS and GCP
Strong hands‑on experience building production‑grade data pipelines and data products
Deep understanding of: Data modeling and analytics patterns
Batch and streaming architectures
Cloud‑native design principles
Strong programming skills (e.g., Python, SQL) and experience with modern data frameworks
Ability to make sound architectural decisions under real‑world constraints

Job Responsibility

Data Solution Architecture (AWS & GCP)
Data Product Development Leadership
Technical Guidance & Team Leadership
Platform & Engineering Collaboration
Non‑Functional Excellence
Stakeholder Engagement & Technical Communication

What we offer

Retirement savings plan
Health insurance
Flexible schedules
Parental leave
Holiday purchase scheme
Professional development opportunities
Employee Assistance Programme

Fulltime

Director, Group Lead, Data Surveillance, Clinical Data Sciences

As part of the Clinical Data Sciences group, an integral delivery unit within th...

Location

India , Chennai

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s Degree. Degree in Life Sciences, Informatics, Computer Science, Statistics, or related business degree with equivalent experience preferred
Demonstrated relevant experience in a pharmaceutical, biotech, Contract Research Organization (CRO), or Regulatory Agency with an emphasis on building data collection and assimilation solutions
Demonstrated experience managing complex projects and developing successful partnerships within and across functional areas
Demonstrated successful experience in all relevant clinical trial activities in a Bio Pharmaceutical or CRO setting
Working knowledge of all phases of clinical trials and multiple indications and/or therapeutic areas. Ability to assess and determine study requirement from protocol review
Strong Project and Risk Management
Understanding of regulatory requirements and relevant data standards
Strong communication, decision-making, influencing, negotiation, and project management skills
Technical skill and experience using relational databases and data visualization tools, e.g. Spotfire, JReview

Job Responsibility

Define and drive global strategies, initiatives, processes, and standards to ensure consistent, efficient, and quality processes to deliver high quality clinical data
Plan and execute communication plans & methods to ensure customer satisfaction and enable improvements to be implemented during the course of a project
Develop charters, resource utilization and project plans to achieve CDS specific goals
Develop people, including recruitment, retention, and career development and performance management
Able to resolve conflicts, influence and communicate cross-functionally with key stakeholders and customers
Provides administrative and central monitoring technical and process oversight of teams
Implements organizational design and develop succession planning for RBM in collaboration with other functional leaders
Oversee all technical aspects required to set up and test study level Risk-based Monitoring system
Anticipates, oversees and influences change to position efficient, high-quality implementation of required data flows to incorporate internal and external data sources into Pfizer informatics environment ensuring operational delivery and traceability from source. Ensures appropriate process and documentation are in place to support inspection readiness
Act as the key scientific and technical central monitoring expert

Fulltime

Lead Data Scientist - Clinical Informatics (Clinical Data Standards)

We’re building a world of health around every individual — shaping a more connec...

Location

United States , New York

Salary:

130295.00 - 260590.00 USD / Year

CVS Health

Expiration Date

June 29, 2026

Requirements

7+ years of relevant experience in clinical informatics, healthcare analytics, or clinical data management
Deep expertise in clinical data types and structures, including CCD data, lab results, clinical notes, and administrative healthcare data
Strong knowledge of clinical coding systems and terminologies, such as ICD-10, CPT, HCPCS, SNOMED-CT, LOINC, NDC, and RxNorm
Experience designing and documenting data models, taxonomies, or classification frameworks for clinical or healthcare data
Proven ability to enable and support downstream data consumers (analysts, data scientists, business users) through documentation, training, and consultative support
Experience leading cross-functional projects from concept to delivery by coordinating across clinical, technical, and business stakeholders
Proficiency with SQL and experience working with large-scale healthcare datasets
Experience using cloud-based data platforms, preferably Google Cloud Platform (GCP) tools including BigQuery, for querying, transforming, and managing data
Strong understanding of data quality principles, including validation, profiling, and monitoring of healthcare data
Excellent written and verbal communication skills, including the ability to explain complex clinical data concepts to both technical and non-technical audiences

Job Responsibility

Serve as a subject matter expert in clinical data, including CCD data, with deep understanding of how to structure and apply this data to solve healthcare problems
Design and maintain clinical data models, taxonomies, and classification frameworks that enable consistent interpretation and use of clinical data across the organization
Develop and govern the clinical data feature store, establishing standards, documentation, and best practices that accelerate adoption of clinical data for downstream analytics, reporting, and AI/ML use cases
Enable self-service analytics by building well-documented, validated, and reusable data assets (tables, views, features) that empower analysts and data scientists to work independently with clinical data
Create and maintain comprehensive data documentation, including data dictionaries, lineage, business logic, known limitations, and appropriate use guidelines for clinical datasets
Build queries, dashboards, and data visualizations to effectively communicate data quality metrics, data availability, and clinical insights to technical and non-technical stakeholders
Partner with clinical, operational, and business stakeholders to understand their data needs, translate requirements into data solutions, and ensure clinical data assets meet their analytical objectives
Lead and mentor data scientists, data analysts, and data engineers, providing guidance on clinical data interpretation, appropriate use, and best practices for working with healthcare data
Establish data quality frameworks for clinical data, including validation rules, anomaly detection, and monitoring processes to ensure data integrity and reliability
Translate clinical concepts into analytical frameworks, ensuring that business partners understand the capabilities and limitations of available clinical data

What we offer

Medical, dental, and vision coverage
Paid time off
Retirement savings options
Wellness programs
CVS Health bonus, commission or short-term incentive program
Award target in the company’s equity award program

Fulltime

Market Data Optimisation - Pricing and Reference Data Lead

We’re currently looking to hire a Market Data Optimisation – Pricing and Referen...

Location

United Kingdom , London

Salary:

Not provided

LegalAndGeneral

Expiration Date

Until further notice

Requirements

Proven experience in market data or vendor management within asset management or investment banking
Proven ability to negotiate complex data contracts and manage high-value vendor relationships
Familiarity with EU/UK market data regulations and data-usage compliance frameworks
Excellent stakeholder-management and communication skills with the ability to influence at senior levels
Strong analytical and financial-modelling capability (Excel, Power BI, or equivalent)
Experience with market-data inventory and rights-management tools (e.g., FITS, MDM, TRG, or EDM Council models)
Degree in Finance, Economics, or a related discipline
professional qualifications (FIA, CFA, or CMI) advantageous

Job Responsibility

Leading end-to-end negotiation and renewal of vendor licenses relating to all the firm’s security pricing data
Assessing commercial models, usage rights, and redistribution implications for internal and external use cases
Ensuring that the business align to the LGIM Pricing & Reference Data strategy and ensure existing contracts are fully leveraged
Supporting new product development and new business initiatives by gathering all Pricing data requirements and leading vendor analysis and selection
Ensure compliance with appropriate regulations and internal data governance frameworks
Partner with Legal, Compliance, and Procurement to align contractual terms with organisational policies and regulatory expectations and maintain centralised records of all Security Pricing data licenses, usage rights, and renewal schedules
Act as primary liaison between the firm and major vendors of Pricing data (e.g. Bloomberg, ICE)
Analyse vendor spend for security pricing, identify duplication, and propose rationalisation or enterprise models to optimise total cost of ownership and Support budgeting and forecasting for security pricing data, integrating financial tracking into enterprise cost-management frameworks

What we offer

The opportunity to participate in our annual, performance -related bonus plan and valuable share schemes
Generous pension contribution
Life assurance
Healthcare Plan (permanent employees only)
At least 25 days holiday, plus public holidays, 26 days after 2 years’ service. There’s also the option to buy and sell holiday
Competitive family leave
Participate in our electric car scheme, which offers employees the option to hire a brand-new electric car through tax efficient salary sacrifice (permanent employees only)
There are the many discounts we offer – both for our own products and at a range of high street stores and online

Fulltime

Data Quality and Master Data Management Lead

We are seeking a strategic and hands-on Data Governance & Master Data Manager to...

Location

United States , Orlando, FL

Salary:

Not provided

ThreatLocker

Expiration Date

Until further notice

Requirements

Third level degree
3-5 Years Experience in similar Data Quality, Data Governance or Master Data Management role
Leadership/management experience
Strong analytical and problem-solving skills with excellent attention to detail
Good understanding of information systems, databases and SQL
Strong stakeholder management skills, demonstrable ability to influence and collaborate with departmental heads across different functions
Ability to work independently and collaboratively in a fast-paced, team-oriented environment.

Job Responsibility

Liaise with data stewards from multiple business functions and technical stakeholders to identify and document gaps in Data Quality and Master Data Management
Develop remediation solutions and processes to address
Lead a team of data integrity analysts as part of one-time Data Quality and Master Data remediation program
Define the overarching Data Governance and Master Data Management strategy for the organization and the operating model needed to realize it
Develop the roadmap to delivering on that strategy
Implement and enforce standards, processes and solutions needed
Lead the daily operations of this function of the business
Design and implement the reporting framework and KPIs required to monitor improvements and manage Data Governance, Quality and Master Data Management.

New

Data Modeler

We are looking for a Data Modeler to support a healthcare organization in Morris...

Location

United States , Morristown

Salary:

Not provided

Robert Half

Expiration Date

Until further notice

Requirements

Hands-on experience designing data models across relational, dimensional, and NoSQL environments
Strong working knowledge of ETL processes and data pipeline concepts
Proficiency with Python for data-focused development and automation tasks
Experience using Apache Spark in large-scale data processing environments
Familiarity with Apache Hadoop and distributed data ecosystems
Working knowledge of Apache Kafka for streaming or event-driven data architectures
Ability to document metadata, lineage, and business definitions in a clear and organized manner
Strong collaboration skills with the ability to work effectively across engineering, architecture, and analytics teams

Job Responsibility

Create and refine conceptual, logical, and physical data structures for relational databases, dimensional warehouses, and NoSQL platforms
Produce and update entity relationship diagrams, data movement documentation, and related artifacts that align with enterprise data practices
Work alongside data engineers and solution architects to ensure models support efficient data ingestion, transformation, and downstream reporting needs
Convert business objectives and functional use cases into well-structured database designs that promote performance, flexibility, and long-term growth
Lead model evaluations, uphold data modeling standards, and offer mentorship and technical direction to less experienced team members
Maintain data dictionaries, metadata records, and lineage documentation to improve transparency and usability across the data estate
Partner with analytics and reporting stakeholders to develop star and snowflake schema designs for warehouse and data mart solutions
Address data integrity concerns, duplication risks, and quality issues by applying disciplined modeling techniques and sound design principles
Contribute to governance efforts by supporting data standardization and cataloging activities across the organization
Participate in Agile delivery cycles, providing modeling deliverables and documentation in iterative sprint-based workstreams

What we offer

medical
vision
dental
life and disability insurance
401(k) plan

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Lead Data Modeler

Job Description

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