Data Insights Lead Job at Corsearch (Paris)

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Data Domain Lead

We are seeking a highly motivated and experienced Data Domain Lead to manage and...

Location

United Kingdom , Belfast

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Strong expertise in data governance, data quality, and compliance frameworks
Experience in cross-functional collaboration with stakeholders across enterprise data teams
Proficiency in data management tools, analytics, and reporting systems
Ability to drive data execution strategies and support business objectives through data-driven insights
Previous leadership / team management experience
Excellent communication skills, including the ability to craft effective briefing materials for non-technical audiences
Certifications in data management or related areas are an asset

Job Responsibility

Participate in central Data Execution Working Groups to align data definitions, models, controls, and quality rules across domains
Lead a team of data professionals to oversee the consistency of data provisioning and consumption to ensure accuracy and reliability in applications
Partner with Domain Owners and Report Owners to ensure alignment with business objectives
Produce metrics and performance indicators for the data domain and present to respective governance councils and committees
Sets priorities and objectives for all data within the domain, including initiatives to augment data health
drive data technology decisions, including investments, builds, and prioritizations, for cross-domain consistency
Accountable for compliance with Enterprise data governance policies by maintaining an effectively designed and operating data control environment
Accountable for delivering timely, accurate and complete data for the data domain
Provide ongoing oversight of data exceptions and collaborate with Data Managers and other Data Leads to manage discrepancies
Participate in governance councils to provide reporting on data domains, monitor execution activities, and oversee data concern closures

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Lead Data Scientist

Prism is seeking a Lead Data Scientist who will make high-impact, hands-on contr...

Location

United States , NYC or San Diego (La Jolla/UTC)

Salary:

140000.00 - 160000.00 USD / Year

Prism Data

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Statistics, Data Science, Math, Industrial Engineering, or similar quantitative discipline required
4+ years of experience as a Data Scientist or Statistician, preferably in credit risk or financial services
Research & development of new attributes, models, decision strategies, and/or analytic capabilities
Customer-facing testing of data or analytic solutions (e.g., credit risk scores, alternative data, fraud prevention, etc.)
Collaboration with business teams to understand and address business problems
Modeling experience in the latest AI and machine learning approaches
Mastery of rudimentary modeling approaches (e.g., regression, decision trees)
Knowledge of data labeling/categorization, feature development and selection, model design and training, testing, coding, implementation, monitoring, and governance
Financial services industry data expertise, including types of data sources applicable to different types of business decisions based on regulatory factors
Experience evaluating alternative statistical approaches, including review of academic papers on new techniques and ideas, and justifying which approach is best suited for which problems and why

Job Responsibility

Maintain and advance existing analytical product suite
Enhance core cash flow underwriting offerings as new data elements become available
Develop next-generation versions of products to boost stability, predictive accuracy, and relevancy to emerging use cases
Develop new products for new market opportunities using novel data assets
Demonstrate best practices in transparent modeling approaches to enable easy client adoption
Support sales, revenue attainment, and thought leadership
Conduct proof of concept analyses of the efficacy of Prism products in the context of clients’ business problems, and present results and insights
Support new and existing clients by guiding them on score cutoffs and the use of powerful custom attribute sets for their business
Educate clients on technical product knowledge
Contribute analysis to thought leadership content delivered by Prism executives in white papers and industry conferences

What we offer

medical
dental
vision
401(k)
equity-based compensation

Fulltime

Data Science Lead

The Data Science Lead is a strategic professional who stays abreast of developme...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

MBA or Advanced Degree Information Systems, Business Analysis / Computer Science
10+ years experience using tools for statistical modeling of large data sets
Proficient in data handling suites PYTHON, Spark, R, HIVE, SAS, SQL, or similar packages
Strong ability to extract strategic insights from large data sets
Experience in Design and implementation of machine learning models and algorithms to solve complex business problems with exposure to machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
Adept at using Statistical (like forecasting/modeling, data analysis, regression/optimization models), Machine Learning (GBM, Decision Trees etc.) & AI techniques (Deep Learning)
Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of Finance/risk domain and/or business economics
Experience in working on Visualization tools like Tableau, POWER BI, etc.
Skilled core python developer with extensive development expertise in building the high scaled and performant software platforms for data computation and processing
Expert level knowledge of core python concepts and libraries such as pandas, NumPy and SciPy and well versed with OOPs concepts and design patterns

Job Responsibility

Conducts strategic data analysis, identifies insights and implications and make strategic recommendations, develops data displays that clearly communicate complex analysis
Mines and analyzes data from various banking platforms to drive optimization and improve data quality
Deliver analytics initiatives to address business problems with the ability to determine data required, assess time & effort required and establish a project plan
Consults with business clients to identify system functional specifications
Applies comprehensive understanding of how multiple areas collectively integrate to contribute towards achieving business goals
Consults with users and clients to solve complex system issues/problems through in-depth evaluation of business processes, systems and industry standards
recommends solutions
Leads system change process from requirements through implementation
provides user and operational support of application to business users
Formulates and defines systems scope and goals for complex projects through research and fact-finding combined with an understanding of applicable business systems and industry standards

Fulltime

Data Science Lead

We are looking for experienced and inspiring data science leaders who are excite...

Location

Spain , Madrid

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

strong foundations in statistics, machine learning, and mathematics (a Master’s or PhD is a plus)
confident in exploring data, designing models, and evaluating their performance with rigor
skilled in SQL and Python-based tools (Pandas, NumPy, Scikit-learn, etc.)
experience leading data science projects
enjoy helping others grow, sharing feedback, and fostering a supportive, collaborative work environment
curious, resourceful, and proactive when faced with complex challenges

Job Responsibility

take full ownership of strategic data science projects, from exploration to deployment
guide, mentor, and support a small team of Data Scientists, helping them grow technically and professionally
design and build models for personalization, forecasting, user behavior analysis, and marketing efficiency
collaborate with Product, Engineering, Marketing, and other teams to turn data insights into real-world impact
help prioritize projects effectively based on value and feasibility, keeping a strong product and user focus
play an active role in hiring, onboarding, and nurturing an inclusive team culture
partner with senior leaders to inform strategic planning for the Data function at Fever

What we offer

bonus linked to performance
stock options
40% discount on all Fever events and experiences
flexible hybrid model
health insurance and flexible compensation options via Cobee
English classes
Gympass membership
salary advance via Payflow

Fulltime

Pricing and Valuations Data Workstream Lead

Citi Markets Transformation is looking for Pricing and Valuations Data Workstrea...

Location

United Kingdom , London

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of experience in relevant fields of Market Risk Management, Product Control or product valuation specialist with First Line and/or Second Line experience or in an associated consulting role
Excellent oral and written communications skills
must be articulate and persuasive with the judgement and authority to provide insightful commentary to senior stakeholders
Ability to drive change to business practices by working effectively across a global organization
Ability to handle complexity, ambiguity and a fast changing, often demanding work environment
Self-starting with the ability to multitask and prioritize
Good knowledge of data used in Price Risk processes (trade, market data, reference data), data governance and lineage – experience in operationalizing golden sources of data
Experience in post-trade risk and valuation infrastructure
Ability to analyse large data sets and recommend ways to improve quality, controls, and efficiency
Must be proficient with Excel - Use of Python, SQL, Digital tools would be a significant plus

Job Responsibility

Support the Price Risk Program Initiative lead(s) to drive execution of strategic deliverables aligned to Data, Data Controls and Architecture changes
Lead or participate in working groups, workshops and stakeholders to understand data and business requirements, define project plans and manage timelines
Understand the data quality issues aligned with that data set including end to end data flows and controls and ensure these are addressed in the defined target state solution with robust controls
Work with relevant Citi leadership as well as outside experts to design a target-state control-framework for Price Risk, which meets regulatory expectations
Define a strategy to execute against the designed target-state control-framework for Price Risk, including business analysis, data analysis, practical testing and implementation
Oversee a project management/SME team to design required actions to implement the target state and track completion of the actions in line with Citi change methodology
Identify issues and collaborate with stakeholders to generate solutions
Work with Control and Internal Audit stakeholders to ensure credible challenge throughout the remediation process and validation of results in line with Citi’s Internal Audit requirements
Present on status of the program to senior stakeholders within Citi

What we offer

Generous holiday allowance starting at 27 days plus bank holidays
increasing with tenure
A discretional annual performance related bonus
Private medical insurance packages to suit your personal circumstances
Employee Assistance Program
Pension Plan
Paid Parental Leave
Special discounts for employees, family, and friends
Access to an array of learning and development resources

Fulltime

Lead Data Scientist

You will lead a small, high-impact ML squad embedded directly in client product ...

Location

Salary:

Not provided

LeverX

Expiration Date

Until further notice

Requirements

7+ years of experience in at least one ML field
2+ years of experience in a technical leadership role, e.g., Architect
2+ years of experience managing/supervising teams
Familiarity with Generative AI, time series forecasting, natural language processing, and computer vision
Ability to lead meetings, clarify requirements, and explain technical trade-offs confidently
English B2+

Job Responsibility

Lead and grow a small, high-performing team of data scientists
Collaborate with the customers and engineering teams to understand business needs and translate them into technical solutions
Participate in presale activities, providing technical insights and helping to shape project proposals
Maintain a hands-on approach when necessary, rolling up your sleeves and driving excellence through individual contributions while leading the team

What we offer

Projects in different domains: Healthcare, manufacturing, e-commerce, fintech, etc.
Projects for every taste: Startup products, enterprise solutions, research & development projects, and projects at the crossroads of SAP and the latest web technologies
Global clients based in Europe and the US, including Fortune 500 companies
Employment security: We hire for our team, not just a specific project. If your project ends, we will find you a new one
Healthy work atmosphere: On average, our employees stay in the company for 4+ years
Market-based compensation and regular performance reviews
Internal expert communities and courses
Perks to support your growth and well-being

Lead Director, Data Science

Develop and implement analytics applications and models to transform data into m...

Location

United States , New York

Salary:

141170.00 - 280000.00 USD / Year

CVS Health

Expiration Date

Until further notice

Requirements

Master's degree in Computer Science, Data Science, Statistics, Mathematics, Analytics, Business Administration, or related field
2 years experience in marketing analytics, clinical trials, or health research
2 years experience in machine learning, statistical analysis, or predictive modeling
2 years experience with visualization tools including PowerBI or Tableau
2 years experience with traditional relational data warehouse technologies: Oracle, Teradata, or DB2
2 years experience designing data models and solutions for analytical and reporting use cases
2 years experience with NLP (Scikit-Learn, SpaCity, Pytorch, or Spark NLP)
2 years experience with machine learning algorithms
2 years experience with feature engineering, model tuning, distributed model training, and supervised and unsupervised learning implementation
2 years experience with machine learning operations

Job Responsibility

Develop and implement analytics applications and models to transform data into meaningful information
Design and develop data solutions using industry leading tools, technologies and best practices
Profile data and develop efficient ingestion by sourcing data from PBM, Specialty, Retail, and/or HealthCare business
Develop advanced algorithms and statistical predictive models to evaluate scenarios, predict outcomes, and provide usable information on health metrics
Utilize data mining, data modeling, natural language processing, and machine learning to extract and manipulate data from multiple large data sources
Deliver predictive models that inform solutions for in-house teams and customer engagement
Visualize and interpret data and create reports
Manipulate data using statistical software
Compare models using statistical performance metrics
Support deployment of insights across multiple channels using analysis methods, machine learning, and statistical analyses

What we offer

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Employee Stock Purchase Plan
Term life insurance plan
Short-term disability benefits
Long-term disability benefits
Well-being programs
Education assistance

Fulltime

Data Insights Lead

Corsearch

Location:
France; United Kingdom , Paris ▼
London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
December 27, 2025

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Location:France; United Kingdom , Paris ▼London

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Job Description:

Job Responsibility:

Requirements:

Nice to have:

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Job Posted:December 27, 2025

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