Data scientist or pricing analyst Job at Star Actuarial Futures (Cardiff)

Data Analyst

Data Analyst role within IKEA for Business, Data & Analytics team in Group Digit...

Location

Spain , Madrid

Salary:

Not provided

IKEA

Expiration Date

Until further notice

Requirements

Have 3+ years of experience working in a fast-paced and hands-on keyboard Advanced Analytics roles working with large and complex datasets
Experience in roles such as Data Analyst, Data Scientist, Advanced Analytics consultant, or other relevant work
Enjoy translating imperfectly defined business problems into well-defined analytical problems
Have broad experience driving digital product development with analytical insights
Have proficiency in creating dynamic and possibly real-time visualisation, exploration tools, dashboards and maps to support decision making
Strong PowerBI knowledge is greatly appreciated (Tableau/Data Studio/Looker/Qlikview is also valuable)
Extensive knowledge of SQL, R/Python scripts, data wrangling, statistical and modelling libraries
Experience making back of envelope business impact estimations of potential analytical solutions
Taste for presenting results with a clear and convincing storyline
Love to automate analysis, intelligence and models that drive value

Job Responsibility

Lead the transformation of IKEA into a more data-driven company
Ensure that data and insights are frequently and widely used in IKEA for Business in Group Digital
Develop models, dashboards, and tools to answer business questions
Create data-driven segmentation and distinguish different customer profiles
Estimate business customer life-time value
Predict purchase patterns
Create meaningful target audiences
Measure campaign effectiveness
Estimate impact of loyalty programs
Analyze customer behavior online

What we offer

An intellectually stimulating, diverse and open atmosphere
Opportunity to collaborate with a team of highly talented colleagues
Opportunity to create real and measurable global impact
Flexible and modern tools (Google Cloud Platform, open-source tools)
Continuous learning
Flexible and friendly working environment in a truly value-based company

Fulltime

Weather Data Scientist

Appian Way Energy Partners (AWEP) is a Cambridge, MA-based energy trading and an...

Location

United States , Cambridge

Salary:

Not provided

Appian Way Energy Partners

Expiration Date

Until further notice

Requirements

Bachelor’s or master’s degree in meteorology, Atmospheric Science, Applied Math, or related field
2+ years of experience in operational weather forecasting or applied weather analytics
Expertise in short-term numerical weather prediction and interpretation for North America region
Able to design, build and maintain own models (python strongly preferred)
Fluency in weather data analysis tools and ability to work with large datasets
Strong communication skills and the ability to present complex information clearly

Job Responsibility

Work directly with short-term traders to identify weather-based trading strategies
Assist team in building and maintaining energy price valuation models that incorporate weather forecast data and power market fundamentals to inform directional and relative value trading decisions
Quantify how evolving weather scenarios impact net load, congestion, renewable output, and ultimately price movements across US electricity markets
Integrate custom and external weather model outputs (ECMWF, GFS, HRRR, etc.) into renewable energy and demand forecasts Meteorological and Data Science Support of Long-Term Trading (i.e. FTR and OTC power markets)
Track extreme weather risks, their forward market implications and associated trading opportunities
Consult with traders on longer-term weather patterns (monthly to seasonal) and help frame expectations around load variability, hydrology, wind/solar patterns, and probabilistic outcomes
Collaborate with traders and analysts on improving fundamental optimal power flow models via improved load forecasting, renewable modeling and scenario analysis
Develop automated tools for identifying historical congestion pattern correlations to market fundamental drivers including weather factors and power fundamentals such as transmission outages

What we offer

Competitive base salary with performance-based bonuses and PTO
Health, dental, vision and disability insurance plans
401k safe harbor match and profit sharing
Visa sponsorship

Head of Commercial Operations and Transformation

Hunter Douglas is driving a multi-year transformation to modernize its operation...

Location

The Netherlands , Rotterdam

Salary:

Not provided

Hunter Douglas

Expiration Date

Until further notice

Requirements

5–8+ years total experience, including top-tier consulting (MBB) at Engagement Manager level or equivalent
Proven track record in leading transformation or operational improvement programs
Highly quantitative mindset
strong with financial modeling, analytics, and data translation
Experience managing data science or analytics teams
Exceptional communication, stakeholder management, and leadership presence.

Job Responsibility

Lead highly quantitative pricing function (team of 2 data scientists)
Translate strategic goals into quantified impact targets and track measurable results
Lead complex transformation workstreams end-to-end—from diagnostic to design to execution
Manage and coach cross-functional teams, including analysts and data scientists, to deliver data-backed insights and implement scalable solutions
Partner with senior leadership to drive alignment and ensure delivery of transformation milestones
Bring structured, fact-based storytelling to executive forums and decision processes.

What we offer

Direct exposure to C-suite, significant ownership, and the opportunity to shape a global transformation
Entrepreneurial culture with the stability of a market leader
Accelerated path to P&L ownership (within 2-3 years)
competitive and robust total compensation and benefit packages

Senior Software Engineer

Online advertising powers many of the free online experiences we rely on—search,...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's or master's degree in computer science or related technical field AND 6+ years of engineering experience
Strong coding proficiency in C/C++, C#, or Java
Experience building backend services, distributed systems, or high-scale APIs
Hands-on experience with big data technologies such as Kafka, Hadoop, Spark, ADLS, or similar
Strong debugging, problem-solving, and systems thinking capability
Solid analytical skills with experience using SQL, KQL, Hive, or similar for production investigations
Knowledge in some of the following areas: Machine Learning, Quantitative Analysis, Big Data Analytics, Business Analytics, Regression Modelling, Predictive Modelling, and Analytical Decision-Making

Job Responsibility

Analyse auction logs, marketplace signals, and system telemetry to diagnose KPI shifts and revenue trends
Investigate anomalies through large-scale data analysis (Hive/Presto/KQL/ADX) and propose data-driven fixes
Identify revenue opportunities through statistical analysis, hypothesis testing, and metric deep dives
Partner with data scientists to validate models, tune pricing logic, or refine optimization algorithms
Build APIs, microservices, and high-performance data pipelines that integrate with partners, marketplaces, and real-time decision workflows
Improve system observability using telemetry instrumentation, dashboards, tracing, and logs
Lead deep-dive debugging efforts during production issues—correlating system states, data patterns, and infrastructure behaviour
Own live-site operations including on-call rotations, root-cause analysis, and long-term reliability improvements
Drive performance tuning to reduce latency, eliminate bottlenecks, and enhance service health
Collaborate closely with PMs, data scientists, analysts, and engineering leaders to align technical execution with business metrics

Fulltime

Senior Business Analyst with AI Experience

Our client, a globally recognized jewelry manufacturer, is seeking a Senior Busi...

Location

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Proven experience as a Business Analyst for 5+ years, preferably in data-, analytics-, or AI-driven environments
Strong analytical thinking with the ability to connect business strategy and data-driven solutions
Excellent communication, facilitation, and stakeholder management skills
Experience working with a mix of internal and external stakeholders
Patient, empathetic, and an excellent active listener
Curious, proactive, and comfortable working with ambiguity
Strong collaborator in cross-functional, fast-paced environments
Experience with pricing and promotion analytics
AI and machine learning acumen
Familiarity with SQL, data models, or BI tools (e.g., Power BI, Tableau, Looker)

Job Responsibility

Translates requirements by understanding the business and technical space: Collaborate with business stakeholders to elicit, define, and document detailed requirements for data products, analytics tools, and AI models
Understand business goals, processes, and challenges to ensure that the analytics solutions provide actionable insights and value to the business
Translate complex business needs into technical requirements and functional specifications that are comprehensible to engineers and data scientists
Facilitation & Communication: Act as the bridge between business stakeholders and the technical teams (data engineers, data scientists, and visualization experts), ensuring a clear understanding of requirements and project objectives
Work closely with product managers to prioritize and scope the requirements based on business value and feasibility
Assist in testing and validation of analytics solutions, ensuring they meet business expectations
Knowledge management: Maintain comprehensive documentation for all requirements, changes, and functional specifications
Ensure that all user stories, use cases, and technical specifications are up-to-date and accessible to both the business and technical teams
Create and update user guides, training materials, and process documentation for end users of analytics tools

What we offer

Paid Vacation
Sick Days
Floating Holidays
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Senior Business Analyst with AI Experience

Our client, a globally recognized jewelry manufacturer, is seeking a Senior Busi...

Location

Poland , Wroclaw

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Proven experience as a Business Analyst for 5+ years, preferably in data-, analytics-, or AI-driven environments
Strong analytical thinking with the ability to connect business strategy and data-driven solutions
Excellent communication, facilitation, and stakeholder management skills
Experience working with a mix of internal and external stakeholders
Patient, empathetic, and an excellent active listener
Curious, proactive, and comfortable working with ambiguity
Strong collaborator in cross-functional, fast-paced environments
Experience with pricing and promotion analytics
AI and machine learning acumen
Familiarity with SQL, data models, or BI tools (e.g., Power BI, Tableau, Looker)

Job Responsibility

Collaborate with business stakeholders to elicit, define, and document detailed requirements for data products, analytics tools, and AI models
Understand business goals, processes, and challenges to ensure that the analytics solutions provide actionable insights and value to the business
Translate complex business needs into technical requirements and functional specifications that are comprehensible to engineers and data scientists
Act as the bridge between business stakeholders and the technical teams (data engineers, data scientists, and visualization experts), ensuring a clear understanding of requirements and project objectives
Work closely with product managers to prioritize and scope the requirements based on business value and feasibility
Assist in testing and validation of analytics solutions, ensuring they meet business expectations
Maintain comprehensive documentation for all requirements, changes, and functional specifications
Ensure that all user stories, use cases, and technical specifications are up-to-date and accessible to both the business and technical teams
Create and update user guides, training materials, and process documentation for end users of analytics tools

What we offer

Paid Vacation
Sick Days
Sport/Insurance Compensation
English Classes
Charity
Training Compensation

Senior Business Analyst with AI Experience

Our client, a globally recognized jewelry manufacturer, is seeking a Senior Busi...

Location

Turkey , Istanbul

Salary:

Not provided

Zoolatech

Expiration Date

Until further notice

Requirements

Proven experience as a Business Analyst for 5+ years, preferably in data-, analytics-, or AI-driven environments
Strong analytical thinking with the ability to connect business strategy and data-driven solutions
Excellent communication, facilitation, and stakeholder management skills
Experience working with a mix of internal and external stakeholders
Patient, empathetic, and an excellent active listener
Curious, proactive, and comfortable working with ambiguity
Strong collaborator in cross-functional, fast-paced environments
Experience with pricing and promotion analytics
AI and machine learning acumen
Familiarity with SQL, data models, or BI tools (e.g., Power BI, Tableau, Looker)

Job Responsibility

Collaborate with business stakeholders to elicit, define, and document detailed requirements for data products, analytics tools, and AI models
Understand business goals, processes, and challenges to ensure that the analytics solutions provide actionable insights and value to the business
Translate complex business needs into technical requirements and functional specifications that are comprehensible to engineers and data scientists
Act as the bridge between business stakeholders and the technical teams (data engineers, data scientists, and visualization experts), ensuring a clear understanding of requirements and project objectives
Work closely with product managers to prioritize and scope the requirements based on business value and feasibility
Assist in testing and validation of analytics solutions, ensuring they meet business expectations
Maintain comprehensive documentation for all requirements, changes, and functional specifications
Ensure that all user stories, use cases, and technical specifications are up-to-date and accessible to both the business and technical teams
Create and update user guides, training materials, and process documentation for end users of analytics tools

What we offer

Paid Vacation
Hybrid Work (home/office)
Sick Days
Sport/Insurance Compensation
Holidays Day Off
English Classes
Training Compensation
Transportation compensation

New

Data Engineer - Pyspark

This is a data engineer position - a programmer responsible for the design, deve...

Location

India , Chennai

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

5-8 Years of experience in working in data eco systems
4-5 years of hands-on experience in Hadoop, Scala, Java, Spark, Hive, Kafka, Impala, Unix Scripting and other Big data frameworks
3+ years of experience with relational SQL and NoSQL databases: Oracle, MongoDB, HBase
Strong proficiency in Python and Spark Java with knowledge of core spark concepts (RDDs, Dataframes, Spark Streaming, etc) and Scala and SQL
Data Integration, Migration & Large Scale ETL experience (Common ETL platforms such as PySpark/DataStage/AbInitio etc.) - ETL design & build, handling, reconciliation and normalization
Data Modeling experience (OLAP, OLTP, Logical/Physical Modeling, Normalization, knowledge on performance tuning)
Experienced in working with large and multiple datasets and data warehouses
Experience building and optimizing ‘big data’ data pipelines, architectures, and datasets
Strong analytic skills and experience working with unstructured datasets
Ability to effectively use complex analytical, interpretive, and problem-solving techniques

Job Responsibility

Ensuring high quality software development, with complete documentation and traceability
Develop and optimize scalable Spark Java-based data pipelines for processing and analyzing large scale financial data
Design and implement distributed computing solutions for risk modeling, pricing and regulatory compliance
Ensure efficient data storage and retrieval using Big Data
Implement best practices for spark performance tuning including partition, caching and memory management
Maintain high code quality through testing, CI/CD pipelines and version control (Git, Jenkins)
Work on batch processing frameworks for Market risk analytics
Promoting unit/functional testing and code inspection processes
Work with business stakeholders and Business Analysts to understand the requirements
Work with other data scientists to understand and interpret complex datasets

Fulltime

Data scientist or pricing analyst

Star Actuarial Futures

Location:
United Kingdom , Cardiff

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 15, 2026

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Location:United Kingdom , Cardiff

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Job Description:

Job Responsibility:

Requirements:

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Job Posted:January 15, 2026

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