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

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

New

Data Scientist - Pricing

The Cloud and AI Platforms Monetization organization is a big picture team that ...

Location

United States , Redmond

Salary:

102100.00 - 202200.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results) or consulting experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 2+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience. Additional or preferred qualifications: Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience
OR equivalent experience.
Experience in Python, R, or similar languages
Experience with Azure Machine Learning (ML) or equivalent cloud-based ML platforms
Experience working with large-scale data and distributed systems

Job Responsibility

Analyze large-scale datasets to identify patterns, trends, and opportunities for improving yield and efficiency
Develop machine learning models to optimize resource allocation and pricing strategies
Partner with business planning, engineering, product management, and finance teams to align yield strategies with business objectives
Design and execute experiments to validate optimization hypotheses. Build causal inference models (e.g., difference-in-difference, synthetic control) to measure the impact of business decisions
Develop dashboards and other visuals to monitor key business trends, identify new opportunities, and translate findings to actionable insights
Stay current with industry trends in AI, cloud economics, and optimization techniques
share insights and best practices internally
Embody our Culture and Values

Fulltime

Staff Data Scientist, Pricing

You will contribute to the development of a pricing guidance system for hosts, a...

Location

United States

Salary:

194000.00 - 240000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

Advanced degree in Computer Science, Statistics, Econometrics or related field
9+ years of industry experience with Masters and 6+ years with a PhD
Experience with experimentation, causal observational analysis, and pricing systems/marketplaces
Strong coding skills in SQL and either Python or R
Comfort with developing proof-of-concept prototypes
Proven ability to succeed in both collaborative and independent work environments, autonomously set a roadmap for business impact
Strong in communication with XFN partners in product, engineering, and design to enable data-driven product development with a focus on the user experience

Job Responsibility

Collaborating with product and cross-functional teams to pioneer pricing strategies and guidance for hosts, translating advanced modeling into actionable recommendations
Developing foundational models and experimental approaches that balance supply and demand in the marketplace, leveraging empirical methods to assess and iterate on pricing feature impact
Crafting compelling data narratives to surface actionable insights, empower data-driven decision making, and influence the future direction of Airbnb’s pricing ecosystem
Developing a deep understanding of how hosts think about pricing and navigate and re-engage with our app via analysis and research
Growing a strong relationship with cross-functional partners in Product, Engineering and Analytics
Writing software (Python, SQL, R) to model, simulate and measure the impact of new pricing features
Creatively diving into data to understand the differential effects of pricing feature launches and turning that understanding into clear insights
Communicating learnings and insights to leaders and partners in a simple and lucid way

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

New

Product Data Scientist

About the Role: At Tripadvisor Experiences, the only thing we love more than tra...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Several years in a data science, analytics, or quantitative research role at a data-driven organization
strong product analysts who are actively upskilling in data science methods are encouraged to apply
Advanced SQL skills and hands-on experience querying and manipulating large datasets
Proficiency with data visualisation tools (Tableau, Looker or equivalent)
Experience with the full A/B testing process, from test design to results interpretation
Some proficiency in Python for analysis, experimentation and exploratory modeling
A track record of using data insights to influence product or business decisions
Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques

Job Responsibility

Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
for example, using tree-based or regression modeling to identify signals of high LTV
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.'
Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail

Fulltime

New

Product Data Scientist

About Tripadvisor The Tripadvisor Group connects people to experiences worth sha...

Location

United Kingdom , London

Salary:

Not provided

Tripadvisor

Expiration Date

Until further notice

Requirements

Several years in a data science, analytics, or quantitative research role at a data-driven organization
strong product analysts who are actively upskilling in data science methods are encouraged to apply
Advanced SQL skills and hands-on experience querying and manipulating large datasets
Proficiency with data visualisation tools (Tableau, Looker or equivalent)
Experience with the full A/B testing process, from test design to results interpretation
Some proficiency in Python for analysis, experimentation and exploratory modeling
A track record of using data insights to influence product or business decisions
Comfort with ambiguity: you can define a question when it isn't handed to you, and you're energised by incomplete information rather than paralysed by it
A growth mindset: you're actively upskilling in more advanced analytics methods and always willing to learn new tools and techniques

Job Responsibility

Design and analyse A/B tests across Viator's marketplace, applying sound statistical methods to interpret results and support confident decision-making
Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections
Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized — such as measuring the impact of pricing changes on supplier retention or the long-term effect of personalization on traveler LTV
Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle
Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
Translate analytical outputs into actionable insights and clear product recommendations: not just 'here's the data,' but 'here's what it means for the next sprint and how we should test it.'
Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
Translate analyses into clear narratives that are accessible to non-technical audiences — emphasising actionable insights and 'so what' over technical detail
Be a champion of unbiased, rigorous analysis — including when the data doesn't support a stakeholder's hypothesis

Senior Data Scientist, Guest Travel Insurance (Algorithms)

Airbnb was born in 2007 when two hosts welcomed three guests to their San Franci...

Location

United States

Salary:

179000.00 - 210000.00 USD / Year

Airbnb

Expiration Date

Until further notice

Requirements

5+ years of relevant industry experience (e.g., ML scientist, tech lead, junior faculty) and a Master's degree or PhD with 2+ yrs in a relevant field
Proven hands-on experience building and shipping personalization and recommendation systems at scale: strong intuition for feature engineering, user modeling, and the full ML lifecycle (training, serving, monitoring, iteration)
Strong fluency in Python and SQL
hands-on experience with TensorFlow or PyTorch, Airflow, and a data warehouse environment
Deep understanding of ML algorithms (gradient-boosted trees, deep learning, optimization) and experiment design—including A/B testing, multi-armed bandits, and the practical constraints of running experiments at scale
Exceptional communicator: you can make complex ML work legible to engineers, product managers, legal, and executives alike— written and verbal
Self-directed and passionate: you're energized by a fast-moving environment where there are always more good ideas than time
you hold yourself to a high standard without being asked, take initiative to unblock yourself, and find genuine satisfaction in shipping things that matter to guests
Product-oriented mindset: you keep the guest experience at the center of technical decisions and bring conceptual and innovative thinking to how you frame and solve problems

Job Responsibility

Package personalization & ML-based recommendation: Evolve rule-based guest segmentation into a full ML recommendation system that surfaces the right insurance (e.g., trip cancellation, accidental damage coverage, on-trip protection) to each guest based on purchase intent, trip attributes, listing signals, and user history
Content personalization: Build models that rank and select benefit messaging for each guest—deciding which coverages to highlight, in what order, and with what framing—drawing on learnings from segmentation experiments and LLM-assisted content prototyping
Intent modeling: Develop and productionize ML models (from gradient-boosted trees to deep learning) that predict a guest's likelihood to value specific coverages, using structured booking data and unstructured signals
Journey understanding and optimization: Leverage reinforcement learning to personalize across user journey, with understanding on user preferences on entry point, price, notification frequency, and trip characteristics
High-velocity experimentation: Design and run adaptive experiments to maximize learning within tight traffic constraints
sequence ERFs strategically to keep the personalization roadmap moving

What we offer

bonus
equity
benefits
Employee Travel Credits

Fulltime

Data Scientist

Love Data and want to support a growing eCommerce business to turn data into pow...

Location

United Kingdom , Oakham

Salary:

Not provided

360 Resourcing Solutions

Expiration Date

Until further notice

Requirements

Proven experience in Data Science, Advanced Analytics or similar role
Experience applying data science in a commercial setting (e.g. retail, eCommerce, marketing)
Proven ability to deliver measurable business impact from data
Strong programming skills (Python / R)
SQL and experience working with large, complex datasets
Solid understanding of: Statistical modelling
Machine learning techniques
Experimental design and testing
Experience with cloud/data platforms or scalable pipelines
Strong problem-solving and analytical thinking

Job Responsibility

Develop predictive models (e.g. customer lifetime value, propensity, response modelling)
Apply segmentation and clustering techniques to refine customer targeting
Build attribution and measurement frameworks for marketing activity
Support pricing and promotional optimisation through quantitative analysis
Design and build reusable data science products and pipelines
Support automation of reporting and decision-making tools
Work with engineering and IT teams to scale solutions within our analytics ecosystem
Translate complex outputs into clear, compelling recommendations
Partner with stakeholders across Marketing, Trading and Digital teams
Drive measurable improvements in customer engagement, revenue and profitability

What we offer

Hybrid Working Model
Subsidised Restaurant
Free access to a local Gym & Swimming Pool
50% Employee Discount
Cash Health Scheme
Free Annual Eye test
Employer pension contribution up to 5%
Free on-site parking

Fulltime

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