Pricing Data Scientist Job at Arthur Recruitment (London)

Pricing Data Scientist

Pricing and Underwriting is a complicated world, where historical data, geospati...

Location

United Kingdom , London; Leeds; Manchester

Salary:

Not provided

Direct Line Group

Expiration Date

Until further notice

Requirements

Experience working in Python required
Experience of pricing a personal lines insurance product, in either a risk or trading capacity
Good understanding of modelling processes and concepts, and ability to support on technical modelling builds
SQL skills required
Ability to innovate & work in a fast-paced environment, working with a breadth of initiatives

Job Responsibility

Support with development and deployment of machine learning models
Understand existing model performance, via Actual vs Expected and model monitoring
Build on current model reporting methods
Supporting on trading activity, including proposals, testing & PIRs
Report on statistical trends in various datasets
Interrogating of regular reporting & conduct processes to support Pricing outcomes
Monitoring performance dashboards, identifying threats & opportunities
Liaising with our Pricing Optimisation & Trading teams to deliver great customer and commercial outcomes
Working closely with the pricing & underwriting team to deliver great pricing & underwriting outcomes
Adherence to relevant pricing controls

What we offer

9% employer contributed pension
50% off home, motor and pet insurance plus Green Flag breakdown cover
Additional optional Health and Dental insurance
Up to 10% AIP Bonus
EV car scheme allows all colleagues to lease a brand new electric or plug-in hybrid car in a tax efficient way
Generous holidays
Buy as you earn share scheme
Employee discounts and cashback
22 days holiday rising to 30 days depending on your role. Plus the chance to buy and sell up to 5 days
Income protection on 50% of your salary for 5 years

Fulltime

Lead Scientist, Pricing

We are seeking a Lead Data Scientist with deep expertise in pricing science, inc...

Location

United States

Salary:

Not provided

Duetto

Expiration Date

Until further notice

Requirements

MS or PhD in Statistics, Econometrics, Computer Science, Operations Research, or a related quantitative field
7+ years of hands-on experience building data science solutions for pricing, decision-making, or control systems
Demonstrated success applying reinforcement learning in production settings, ideally in pricing or dynamic decision environments
Proficiency with ML/DL frameworks (e.g., PyTorch, TensorFlow, scikit-learn, DARTS) and programming languages (Python, R, SQL)
Experience with Python-based libraries for mathematical optimization and reinforcement learning, and familiarity with simulation environments for offline policy evaluation
Familiarity with cloud platforms and MLOps tools (e.g., AWS SageMaker, MLflow) for scalable model development and deployment
Strong communication and presentation skills, capable of conveying complex analytical concepts to non-technical stakeholders
Experience designing model evaluation and impact measurement frameworks, including causal inference

Job Responsibility

Lead the development of intelligent pricing systems using reinforcement learning, constrained optimization, and simulation-based approaches
Apply a combination of mathematical optimization, dynamic programming, and advanced reinforcement learning algorithms (e.g., model-free, policy gradients, model-based RL) to develop adaptive pricing strategies at scale
Incorporate price elasticity modeling, demand forecasts, and business constraints into the optimization framework
Build and validate simulation environments to evaluate policies offline and ensure robustness before production deployment
Collaborate with engineering to productionize and monitor models in cloud environments such as AWS SageMaker
Collaborate with engineering to productionize optimization models via batch or real-time pricing APIs (e.g., using AWS SageMaker)
Partner with product, pricing, and revenue strategy teams to define objectives and translate pricing insights into business outcomes
Define and execute model performance measurement strategies, including causal inference and uplift modeling and A/B testing
Present findings, experimental results, and strategic recommendations to senior leadership

Data Scientist, GTM Analytics

Our data team’s mission is to fuel Airtable’s growth and operations. We are a st...

Location

United States , San Francisco; New York City; Austin

Salary:

161500.00 - 221500.00 USD / Year

Airtable

Expiration Date

Until further notice

Requirements

Bachelor degree in a quantitative discipline (Math, Statistics, Operations Research, Economics, Engineering, or CS), MS/MBA preferred
4+ years of working experience as a data scientist / analytics engineer in high-growth B2B SaaS, preferably supporting sales, CSG or other go-to-market stakeholders
Demonstrated business acumen with a deep understanding of Enterprise Sales strategies (sales pipeline, forecast models, sales capacity, sales segmentation, quota planning), CSG strategies (customer churn risk model, performance attribution) and Enterprise financial metrics (ACV, ARR, NDR)
Familiar with CRM platforms (i.e., Salesforce)
6+ years of experience working with SQL in modern data platforms, such as Databricks, Snowflake, Redshift, BigQuery
6+ years of experience working with Python or R for analytics or data science projects
6+ years of experience building business facing dashboards and data models using modern BI tools like Looker, Tableau, etc.
Proficient-level experience developing automated solutions to collect, transform, and clean data from various sources, by using tools such as dbt, Fivetran
Proficient knowledge of data science models, such as regression, classification, clustering, time series analysis, and experiment design
Excellent communication skills to present findings to both technical and non-technical audiences

Job Responsibility

Champion AI Driven Data Product with Scalability: Design and implement ML models and AI solutions to enable CE team with actionable insights and recommendations. Build scalable data pipelines and automated workflows with MLOps best practices
Support Key Business Processes: Provide strategic insights, repeatable frameworks and thought partnership independently to support key CE business processes like territory carving, annual planning, pricing optimization and performance attribution, etc.
Strategic Analysis: Drive in-depth deep-dive analysis to ensure accuracy and relevance. Influence the business stakeholders with a good story telling of the data. Tackle ambiguous problems to uncover business value with minimal oversight
Develop Executive Dashboards: Design, build, and maintain high-quality dashboards and BI tools. Partner with Revenue Operations team to enable vast roles of CE team efficiently with the data products
Strong Communication Skills: Effectively communicate the “so-what” of an analysis, illustrating how insights can be leveraged to drive business impact across the organization

What we offer

Benefits
Restricted stock units
Incentive compensation

Fulltime

Senior Data Scientist

Due to rapid growth, at the core of our company’s strategy, we are seeking a Sen...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Graduated from a leading academic institution with a degree in mathematics, statistics, data science, physics or related
4 years of significant experience minimum (post graduation) in data science or related
Proven track record in leading cross-organisational projects involving a variety of stakeholders
Proficiency in Python (e.g. pandas, scikit-learn)
Strong background in statistics and mathematics, showing clear understanding of probabilities
Eye for quality, autonomous and attention to detail
Communication of complex technical topics to a business-oriented audience
Fluency in English (written and verbal communication) is required
Interested in insurance industry and climate risks modeling
Strong team spirit

Job Responsibility

Collaborate with the business team and brokers to understand client needs and risk transfer challenges to successfully underwrite new business and renew accounts
Conduct thorough analyses for product design and coverage structuring in order to meet the needs and expectations of the clients
Improve and develop pricing models in order to model the risk, underwrite policies for corporates and public entities, and monitor the portfolio performance and accumulation
Contribute to insurance proposal and underwriting documentation in order to finalise policies for corporate clients and public entities worldwide
Contribute to & lead cross-organisational initiatives with various divisions of Descartes in order to support the growth and scalability efforts of the company (e.g. Software & Data Engineers, R&D teams, Strategy, Legal, Operations & Risk Management)
Technical & Business Leadership: help both the underwriting strategy and the review of the work conducted by Underwriting Data Scientists, providing guidance on technical modeling matters & business requirements

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
Join a company with a true purpose – help us help our clients be more resilient towards climate risks
A competitive salary, bonus and benefits
You can benefit from punctual home office days

Data Scientist - Digital

Our Global Data & Analytics (D&A) team is the hub of harvesting and analyzing da...

Location

United States

Salary:

75000.00 - 85000.00 USD / Year

Abercrombie & Fitch Co.

Expiration Date

Until further notice

Requirements

Bachelor's Degree or related experience
Proficiency in SQL, Python, and R
Familiarity with big data platforms, cloud-based ML/AI services, and MLOps best practices
Experience using foundational text/vision/multimodal models, finetuning foundational models and familiarity with generative AI frameworks (e.g., Hugging Face, Google Vertex AI, Azure AI foundry, LangChain) is highly desirable
Strong communication skills, with the ability to explain complex technical concepts to both technical and business audiences
Highly motivated/self-starter with a sense of ownership, willingness to learn, and desire to succeed
Commitment to continuous learning and professional growth in the rapidly evolving field of digital and Gen AI analytics
Must perform well in high pressure situations, balance competing priorities, and demonstrate the ability to work without direct supervision

Job Responsibility

Design and implement innovative machine learning and Gen AI solution for product and content discovery, personalization and customer engagement
Develop and deploy generative AI solutions (e.g., language and vision models, agentic AI) to enhance and automate digital experiences
Build predictive models (propensity, lifetime value, customer affinity, churn, etc.) and recommender systems tailored for e-commerce
Apply advanced modeling techniques, including classification, generalized linear models, decision trees, time series forecasting, clustering, survival analysis, deep learning, and transformer-based architectures
Integrate new data sources (internal and external) and modalities (clickstream, text, images, audio) into ML and Gen AI pipelines
Identify and capitalize on opportunities to increase conversion rates, reduce costs, and drive revenue through data-driven solutions
Serve as an advanced analytics subject matter expert (SME) for the broader analytics team
Identify cross-channel and cross-platform optimization opportunities for customer, product, market, promotions, and pricing strategies
Champion data-informed decision-making and proactively seek innovative ways to leverage data and analytics
Ensure data integrity and a single source of truth

What we offer

Incentive bonus program
401(K) savings plan with company match
Annual companywide review process
Flexible spending accounts
Medical, dental and vision insurance
Life and disability insurance
Associate assistance program
Paid parental and adoption leave
Access to fertility and adoption benefits through Carrot
Access to mental health and wellness app, Headspace

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

Senior Data Scientist

Sitting at the intersection of business and engineering, Data Scientists work in...

Location

Spain

Salary:

Not provided

Fever

Expiration Date

Until further notice

Requirements

solid math, statistics and Machine Learning fundamentals (typically MSc or PhD level)
strong understanding of statistical analysis and modeling including regression, econometric models, time series analysis and forecasting
mastery of common data and ML tools (e.g. SQL, Pandas, Numpy, …)
experience developing and deploying models for business applications
scientific mindset, problem-first attitude and highly self-critical
entrepreneurial spirit, ownership of work, communicate early and often, take controlled risks
comfortable with software engineering best practices
excellent communication skills and proficient in business English

Job Responsibility

work closely with stakeholders in business, product, and engineering to devise data-driven solutions
develop and maintain models to accurately estimate demand and price elasticity
analyse and exploit cross effects across products and contexts
design, execute, and analyze experiments leveraging statistics, econometric models, causal inference techniques
collaborate with partners to devise solutions across domains

What we offer

attractive compensation package consisting of base salary and potential to earn significant bonus
stock options
40% discount on all Fever events and experiences
flexible hybrid model
responsibility from day one and professional and personal growth
great work environment with a young, international team
health insurance and other benefits such as Flexible remuneration with a 100% tax exemption through Cobee
English Lessons
Gympass Membership
possibility to receive in advance part of your salary by Payflow

Fulltime

Data Scientist

Due to rapid growth, at the core of our company’s strategy, we are seeking to ex...

Location

France , Paris

Salary:

Not provided

Descartes Underwriting

Expiration Date

Until further notice

Requirements

Graduated from academic institutions/universities with a specialization in computer science, applied mathematics, climate, meteorological studies or data science for business
Ideally a previous experience (long-term internship) in data science, insurance or climate data modeling
Proficient in statistics, probabilities, applied mathematics and machine learning methods
Proficient in Python (e.g. pandas, scikit-learn)
Excellent communication (written and verbal)
Fluency in English (written and verbal communication) is required
Good command of one additional language (e.g. Chinese, French, Italian, German, Spanish…) is valued
Eager to learn more on the insurance industry
Interested in weather and natural perils modelling (wildfires, hail, tsunamis, earthquakes...)
Excellent team player with an entrepreneurial mindset

Job Responsibility

Conducting structuring work, risk analysis and insurance proposal for worldwide public sector and corporate clients
Discussing business opportunities with Descartes’ partners and being responsible for technical documentation and insurance contracts redaction
Collaborating with the business team to understand client needs and issues to further improve our product offering
Participating in the development of Descartes’ technological platform to differentiate Descartes from its competitors (models and pricing tools)
Working autonomously and pragmatically to make appropriate technical decisions with attention to details
Developing new models to improve our understanding of climate risks
Conducting research and identifying new and innovative ideas on the modeling of climate risks and machine learning methods
Testing state-of-the-art methods from scratch based on recent research articles
Collaborating with the Underwriting, Business and Software teams to ensure our products are efficiently integrated into the underwriting process and meet our client’s needs

What we offer

Opportunity to work and learn with teams from the most prestigious schools and research labs in the world, allowing you to progress towards technical excellence
Commitment from Descartes to its staff of continued learning and development (think annual seminars, training etc.)
Work in a collaborative & professional environment
Be part of an international team, passionate about diversity
A competitive salary, bonus and benefits
You can benefit from a punctual home office days

Pricing Data Scientist

Arthur Recruitment

Location:
United Kingdom , London

Category:
Insurance

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
January 03, 2026

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