Help us build an everything-but-average insurance brand. Fit for the ones who step outside the norm. We back the ones who step outside the norm. People who find themselves on a different path, either by choice or by circumstance. The exceptions to the rules that others aren't interested in serving. Those are the ones we want to back, in everything we do. For the next three years, that means becoming the go-to insurer for people who are new to the UK. A huge cohort of people that the industry is not set up to support. Not only do we cater for their immediate needs (fairer, cheaper prices), we also go above and beyond to make them feel seen and heard in everything we do. About the Role We're looking for a Lead Risk Pricing Data Scientist who will lead the development of our credit risk and pricing systems. This is a unique opportunity to shape a new system from the ground up, unencumbered by legacy systems or constraints. The Lead Risk Pricing Data Scientist will be a hands-on builder and help us develop a team over time. They will be part of a small team of engineers and product people, working independently from the wider business. This role requires autonomy, drive, curiosity and collaboration. What you'll be doing: Designing, developing, and deploying innovative new pricing and underwriting models to price new to country migrants. Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale. Being a champion of data and solidifying data-driven processes within the team. Building a team of analysts and data scientists as we scale, and setting a culture of extremely high quality. The role reports to the GM of Marshmallow Credit. You should apply if: You have a bias for action. You are proactive at identifying opportunities and can unblock yourself to drive you and your team forward. You can be very hands-on. Working in a new vertical means that you'll be working as the sole credit risk analyst initially. You're a strong communicator and facilitator. You can comfortably prototype to explore and present your work. You are deeply challenging. You challenge how things are done, both externally and internally. You're a pioneer. You want to discover and scope new opportunities that may be uncharted territory. This isn't for you if: You need top-down direction. You will be the most experienced credit analyst in the company and will be expected to lead the strategy yourself. You rely on a large team of doers. You should be excited by getting your hands dirty and designing the first systems and models yourself. What we're looking for from you: Experiences that are essential: Experience building innovative productionised credit risk models. Experience directly leading or strongly contributing to credit risk strategies. Strong coding ability in Python and SQL. Experience using and deploying data science techniques. Ability to manipulate large data sets. 5+ years commercial experience. Experiences that will help you: Experience working in cross-functional teams. Experience in the car finance sector. Experience working with thin file customers. Experience working with open banking datasets. Experience managing a team. Experience in a high-growth company. Perks of the job: Competitive bonus scheme - designed to reward and recognise high performance. Flexible benefits budget - £50 per month to spend on a Ben Mastercard. Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years. Work From Anywhere - 4 weeks work from anywhere to use, with no need to come to the office. Mental wellbeing support - Access therapy and mental health sessions through Oliva. Learning and development - Personal budgets for books and training courses to help you grow in your role. Private health care - Enjoy all the benefits Vitality has to offer. Medical cash plan - To help you with the costs of dental, optical and physio. Tech scheme - Get the latest tech for less. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month! Our process We break it up into 3 stages: Initial call with Daniel, our Talent Acquisition Partner (30 mins). A culture interview with our General Manager, Faris (1 hour). A previous experience interview with Paul, our Director of Data Science & AI (45 minutes). At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.
09/05/2025
Full time
Help us build an everything-but-average insurance brand. Fit for the ones who step outside the norm. We back the ones who step outside the norm. People who find themselves on a different path, either by choice or by circumstance. The exceptions to the rules that others aren't interested in serving. Those are the ones we want to back, in everything we do. For the next three years, that means becoming the go-to insurer for people who are new to the UK. A huge cohort of people that the industry is not set up to support. Not only do we cater for their immediate needs (fairer, cheaper prices), we also go above and beyond to make them feel seen and heard in everything we do. About the Role We're looking for a Lead Risk Pricing Data Scientist who will lead the development of our credit risk and pricing systems. This is a unique opportunity to shape a new system from the ground up, unencumbered by legacy systems or constraints. The Lead Risk Pricing Data Scientist will be a hands-on builder and help us develop a team over time. They will be part of a small team of engineers and product people, working independently from the wider business. This role requires autonomy, drive, curiosity and collaboration. What you'll be doing: Designing, developing, and deploying innovative new pricing and underwriting models to price new to country migrants. Developing and owning robust risk monitoring and reporting processes to ensure we stay within appetite as we scale. Being a champion of data and solidifying data-driven processes within the team. Building a team of analysts and data scientists as we scale, and setting a culture of extremely high quality. The role reports to the GM of Marshmallow Credit. You should apply if: You have a bias for action. You are proactive at identifying opportunities and can unblock yourself to drive you and your team forward. You can be very hands-on. Working in a new vertical means that you'll be working as the sole credit risk analyst initially. You're a strong communicator and facilitator. You can comfortably prototype to explore and present your work. You are deeply challenging. You challenge how things are done, both externally and internally. You're a pioneer. You want to discover and scope new opportunities that may be uncharted territory. This isn't for you if: You need top-down direction. You will be the most experienced credit analyst in the company and will be expected to lead the strategy yourself. You rely on a large team of doers. You should be excited by getting your hands dirty and designing the first systems and models yourself. What we're looking for from you: Experiences that are essential: Experience building innovative productionised credit risk models. Experience directly leading or strongly contributing to credit risk strategies. Strong coding ability in Python and SQL. Experience using and deploying data science techniques. Ability to manipulate large data sets. 5+ years commercial experience. Experiences that will help you: Experience working in cross-functional teams. Experience in the car finance sector. Experience working with thin file customers. Experience working with open banking datasets. Experience managing a team. Experience in a high-growth company. Perks of the job: Competitive bonus scheme - designed to reward and recognise high performance. Flexible benefits budget - £50 per month to spend on a Ben Mastercard. Sabbatical Leave - Get a 4-week fully paid sabbatical after being with us for 4 years. Work From Anywhere - 4 weeks work from anywhere to use, with no need to come to the office. Mental wellbeing support - Access therapy and mental health sessions through Oliva. Learning and development - Personal budgets for books and training courses to help you grow in your role. Private health care - Enjoy all the benefits Vitality has to offer. Medical cash plan - To help you with the costs of dental, optical and physio. Tech scheme - Get the latest tech for less. Plus all the rest; 33 days holiday (including bank holidays), pension, cycle to work scheme, monthly team socials and company-wide socials every month! Our process We break it up into 3 stages: Initial call with Daniel, our Talent Acquisition Partner (30 mins). A culture interview with our General Manager, Faris (1 hour). A previous experience interview with Paul, our Director of Data Science & AI (45 minutes). At Marshmallow, we want to hire people from all walks of life with the passion and skills needed to help us achieve our company mission. To do that, we're committed to hiring without judgement, prejudice or bias. We're working hard to build an inclusive culture that empowers our people to do their best work, have fun and feel that they belong.
Overview COMPANY OVERVIEW Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, green fuels, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in San Francisco, Pattern has a portfolio of 30 power facilities and transmission assets across North America, serving various customers that provide low-cost clean energy to millions of consumers. Responsibilities JOB PURPOSE The Energy Systems Data Scientist role develops, maintains, and analyzes the input, output, and connection datasets between Pattern's internal capacity expansion and production cost modeling suite (WIS:dom). The role will evolve in scope as the data architecture and stack progress from its current state. The role will enable ESP to analyze North American energy markets and develop a comprehensive view of the current Pattern pipeline of construction, operating asset performance, and market dynamics that might create opportunities or risks. The role provides critical support for ESP to provide business actionable analysis to other departments of Pattern. KEY ACCOUNTABILITIES Create, manage, and analyze input and output data for/from executed model simulations using the WIS:dom suite of tools. Provide analysis of these inputs and outputs to the ESP team and external groups. Integrate large datasets into the modeling framework. Gather and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints. Find available market data and translate data into modeling WIS:dom parameters and maintain version control and documentation of changes. Automate repetitive tasks and enhance existing workflows to improve input and output data for modeling accuracy and efficiency. Develop pipeline infrastructure between modeling tools that will reduce the manual nature of model execution in coordination with the transition to the HIVE. Work with multidisciplinary teams, including modelers, developers, analysts, GIS, and transmission analysts to align model data requirements that simulate real-world conditions and objectives. Assist real-time environment products for operations that use different data structures to other ESP modeling tools. Qualifications EXPERIENCE/QUALIFICATIONS/EDUCATION REQUIRED Educational Requirements Bachelor's and/or master's in electrical engineering, economics, mathematics, or a related quantitative field (data science or data engineering emphasis desired). Required Work Experience 3-5 years of experience in energy trading, renewables development, or energy industry forecasting/analytics/research. Required Knowledge Familiarity with capacity expansion, production cost models, or energy-related software. Ability to work with datasets specific to energy systems, such as grid network models, load profiles, and pricing data. Strong knowledge of data wrangling and cleaning techniques, especially for time series, spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). Demonstrated experience in using Azure-based cloud applications, services and infrastructure or significant, transferrable experience with other Cloud Providers (e.g., AWS or GCP). Comfortable creating data visualizations and deploying them on a company-wide level. Implementation of storing system-level logs and responding to pipeline failures (including code errors, API statuses, data structure failures, and machine-based failures). Preferred Skills Preferred familiarity with cloud platforms and large dataset tools (e.g., Azure, Databricks, etc.). Ability to work with large datasets, ensuring data integrity and reliability. Strong problem-solving skills for complex energy scenarios. Clear and concise reporting of findings to stakeholders. Ability to explain technical concepts to non-technical audiences. Manage deadlines, coordinate with teams, and handle multiple modeling tasks. The expected starting pay range for this role is $90,000 USD - $122,000 USD. This range is an estimate and base pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education. In addition to base pay, Pattern's compensation program includes a bonus structure for full-time employees of all levels. We also provide a comprehensive benefits package which includes medical, dental, vision, short and long-term disability, life insurance, voluntary benefits, family care benefits, employee assistance program, paid time off and bonding leave, paid holidays, 401(k)/RRSP retirement savings plan with employer contribution, and employee referral bonuses. Pattern Energy Group is an Equal Opportunity Employer.
09/05/2025
Full time
Overview COMPANY OVERVIEW Pattern Energy is a leading renewable energy company that develops, constructs, owns, and operates high-quality wind and solar generation, transmission, green fuels, and energy storage facilities. Our mission is to transition the world to renewable energy through the sustainable development and responsible operation of facilities with respect for the environment, communities, and cultures where we have a presence. Our approach begins and ends with establishing trust, accountability, and transparency. Our company values of creative spirit, pride of ownership, follow-through, and a team-first attitude drive us to pursue our mission every day. Our culture supports our values by fostering innovative and critical thinking and a deep belief in living up to our promises. Headquartered in San Francisco, Pattern has a portfolio of 30 power facilities and transmission assets across North America, serving various customers that provide low-cost clean energy to millions of consumers. Responsibilities JOB PURPOSE The Energy Systems Data Scientist role develops, maintains, and analyzes the input, output, and connection datasets between Pattern's internal capacity expansion and production cost modeling suite (WIS:dom). The role will evolve in scope as the data architecture and stack progress from its current state. The role will enable ESP to analyze North American energy markets and develop a comprehensive view of the current Pattern pipeline of construction, operating asset performance, and market dynamics that might create opportunities or risks. The role provides critical support for ESP to provide business actionable analysis to other departments of Pattern. KEY ACCOUNTABILITIES Create, manage, and analyze input and output data for/from executed model simulations using the WIS:dom suite of tools. Provide analysis of these inputs and outputs to the ESP team and external groups. Integrate large datasets into the modeling framework. Gather and validate input data for models, including energy demand, resource availability, market trends, and environmental constraints. Find available market data and translate data into modeling WIS:dom parameters and maintain version control and documentation of changes. Automate repetitive tasks and enhance existing workflows to improve input and output data for modeling accuracy and efficiency. Develop pipeline infrastructure between modeling tools that will reduce the manual nature of model execution in coordination with the transition to the HIVE. Work with multidisciplinary teams, including modelers, developers, analysts, GIS, and transmission analysts to align model data requirements that simulate real-world conditions and objectives. Assist real-time environment products for operations that use different data structures to other ESP modeling tools. Qualifications EXPERIENCE/QUALIFICATIONS/EDUCATION REQUIRED Educational Requirements Bachelor's and/or master's in electrical engineering, economics, mathematics, or a related quantitative field (data science or data engineering emphasis desired). Required Work Experience 3-5 years of experience in energy trading, renewables development, or energy industry forecasting/analytics/research. Required Knowledge Familiarity with capacity expansion, production cost models, or energy-related software. Ability to work with datasets specific to energy systems, such as grid network models, load profiles, and pricing data. Strong knowledge of data wrangling and cleaning techniques, especially for time series, spatial, and network data. Excellent programming skills in common languages (e.g., Python) and packages used by the energy modeling field (e.g., geopandas, numpy, networkx, pandas), use of software best practices (e.g., Git), and familiarity with high-performance computing environments. Experience with extracting, transforming, and loading processes and tools for handling large-scale datasets. Demonstrated ability to develop and deploy Feature Engineering and Modeling applications to data platforms built on Databricks or similar platforms and platform components (e.g., Snowflake, ML Flow, Airflow, etc.). Demonstrated experience in using Azure-based cloud applications, services and infrastructure or significant, transferrable experience with other Cloud Providers (e.g., AWS or GCP). Comfortable creating data visualizations and deploying them on a company-wide level. Implementation of storing system-level logs and responding to pipeline failures (including code errors, API statuses, data structure failures, and machine-based failures). Preferred Skills Preferred familiarity with cloud platforms and large dataset tools (e.g., Azure, Databricks, etc.). Ability to work with large datasets, ensuring data integrity and reliability. Strong problem-solving skills for complex energy scenarios. Clear and concise reporting of findings to stakeholders. Ability to explain technical concepts to non-technical audiences. Manage deadlines, coordinate with teams, and handle multiple modeling tasks. The expected starting pay range for this role is $90,000 USD - $122,000 USD. This range is an estimate and base pay may be above or below the ranges based on several factors including but not limited to location, work experience, certifications, and education. In addition to base pay, Pattern's compensation program includes a bonus structure for full-time employees of all levels. We also provide a comprehensive benefits package which includes medical, dental, vision, short and long-term disability, life insurance, voluntary benefits, family care benefits, employee assistance program, paid time off and bonding leave, paid holidays, 401(k)/RRSP retirement savings plan with employer contribution, and employee referral bonuses. Pattern Energy Group is an Equal Opportunity Employer.
MRSG is part of the Munich RE group. We are known for our dedication to excellence and quality of service provision across both primary and reinsurance. As well as operating in the Lloyd's of London market, we conduct our business via a global network of service companies, with offices located in the UK, Ireland, the United States, Asia, including Singapore, Labuan and Dubai. Our group of companies provide solutions covering Casualty, Marine & Cargo, Aerospace, Cyber, Political Violence, Trade Credit and Property, Contingency and Yacht. Our purpose is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable people and businesses to thrive. Head of Data Strategy & Transformation We are looking to employ a Head of Data Strategy & Transformation to be based in London and to work with us on a Full Time basis. If you'd like to work within an energetic, fun and collaborative team atmosphere where you can make a difference, we'd love to hear from you. The Role We are seeking an experienced and forward-thinking individual to join Munich Re Speciality Group as the Head of Data Strategy & Transformation within the Central Data Office, reporting to the Head of Data & Digital. As the leader of our data strategy & transformation team, you will be responsible for developing and implementing a comprehensive data strategy that aligns with our business objectives, drives innovation, and leverages the power of data as an asset to steer business decisions. You will collaborate with cross-functional teams to identify data-driven opportunities, establish an operating framework with business functions, and champion a data-driven culture. This role requires a deep understanding of the insurance industry, financial services, and large-scale transformation initiatives. What we are looking for As the Head of Data Strategy & Transformation for MRSG, you will play a critical role in shaping our organisation's data-driven future and driving innovation across Group's Underwriting, Claims, Risk, and Finance communities. Responsibilities include: Develop and execute a data strategy & vision that supports the overall business goals and objectives of Munich Re Speciality Group. Develop & lead a team of data SMEs, providing guidance, mentorship, and fostering a culture of data-driven decision-making and innovation. Collaborate with key stakeholders, including senior management, underwriters, actuaries, claims specialists, and IT teams, to identify strategic opportunities for leveraging data to drive business growth and operational efficiency. Establish a framework for the development of data products. Collaborate with data scientists, owners, and engineers to define technical requirements and ensure successful implementation and delivery. Drive the product development process & lifecycle, from ideation to launch, ensuring timely delivery and high-quality discoverable data products to gain rapid 'time to insight' of information and content. Identify and prioritize data initiatives and projects based on their potential business impact, feasibility, and alignment with the data strategy. Drive the adoption of advanced data analytics and data science techniques to extract actionable insights from large and complex insurance datasets. Foster a culture of data literacy and data-driven decision-making across the organisation, providing training and resources to enhance data literacy and analytics capabilities. Collaborate with IT teams to assess and implement the necessary infrastructure, tools, and technologies to support the data strategy. Stay abreast of emerging trends, technologies, and best practices in data strategy, analytics, and the insurance industry, and assess their potential impact on business operations. Monitor and evaluate the performance of data initiatives, track key metrics, and provide regular reports to senior management on the effectiveness and ROI of data strategy efforts. Demonstrable experience in leading and managing matrix teams, fostering a collaborative and results-driven work environment. Key Skills & Experience Proven experience (8+ years) in data strategy, data management, or a related field, preferably in the insurance industry. Experience in a leadership role is highly desirable. Strong understanding of the insurance industry, including underwriting, claims management, actuarial science, risk assessment, and pricing. Deep knowledge of data strategy frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent analytical and problem-solving skills, with the ability to translate complex data into strategic insights and recommendations. Proficiency in understanding programming languages such as Python, R, or SQL, and experience using data manipulation and analysis tools like Qlik Sense, Power BI, and Tableau. Exceptional communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels of the organization. Strong business acumen and the ability to align data strategy initiatives with the strategic goals of the organisation. Office 365 (MS Teams, MS PowerPoint, MS Excel, MS Word, SharePoint, Yammer) Business Intelligence Applications (Power BI, QLIK Sense, Tableau, or similar). SQL and SQL Server Reporting Services (SSRS). From a leadership perspective: Python, R (or other languages). Master Data Management Solutions (Informatica, Semarchy, IBM, or similar). Meta Data Management Solutions (Colibra, Alex Solutions, or similar). Qualifications Bachelor's degree in a relevant field such as computer science, information management, or a related business discipline. Certifications e.g., Certified Data Management Professional is desirable. Your career with us At MRSG, you'll find the flexibility, development, and support you need to excel in your career combined with a competitive salary and a benefits package that promotes wellbeing and work-life balance, on top of the standard features that include a non-contributory pension, private medical care, life assurance, and more! Diversity & Inclusion Creating an inclusive environment is a crucial part of the Munich Re culture, and we are committed to our Diversity & Inclusion Policy. We also seek to provide a fair and supportive work environment which provides learning and development opportunities for all. Working together, we are an employer of choice by building the workforce for today and the future. We make it happen. Together.
09/05/2025
Full time
MRSG is part of the Munich RE group. We are known for our dedication to excellence and quality of service provision across both primary and reinsurance. As well as operating in the Lloyd's of London market, we conduct our business via a global network of service companies, with offices located in the UK, Ireland, the United States, Asia, including Singapore, Labuan and Dubai. Our group of companies provide solutions covering Casualty, Marine & Cargo, Aerospace, Cyber, Political Violence, Trade Credit and Property, Contingency and Yacht. Our purpose is to inspire our clients and people with the confidence and freedom to explore, create and build - to enable people and businesses to thrive. Head of Data Strategy & Transformation We are looking to employ a Head of Data Strategy & Transformation to be based in London and to work with us on a Full Time basis. If you'd like to work within an energetic, fun and collaborative team atmosphere where you can make a difference, we'd love to hear from you. The Role We are seeking an experienced and forward-thinking individual to join Munich Re Speciality Group as the Head of Data Strategy & Transformation within the Central Data Office, reporting to the Head of Data & Digital. As the leader of our data strategy & transformation team, you will be responsible for developing and implementing a comprehensive data strategy that aligns with our business objectives, drives innovation, and leverages the power of data as an asset to steer business decisions. You will collaborate with cross-functional teams to identify data-driven opportunities, establish an operating framework with business functions, and champion a data-driven culture. This role requires a deep understanding of the insurance industry, financial services, and large-scale transformation initiatives. What we are looking for As the Head of Data Strategy & Transformation for MRSG, you will play a critical role in shaping our organisation's data-driven future and driving innovation across Group's Underwriting, Claims, Risk, and Finance communities. Responsibilities include: Develop and execute a data strategy & vision that supports the overall business goals and objectives of Munich Re Speciality Group. Develop & lead a team of data SMEs, providing guidance, mentorship, and fostering a culture of data-driven decision-making and innovation. Collaborate with key stakeholders, including senior management, underwriters, actuaries, claims specialists, and IT teams, to identify strategic opportunities for leveraging data to drive business growth and operational efficiency. Establish a framework for the development of data products. Collaborate with data scientists, owners, and engineers to define technical requirements and ensure successful implementation and delivery. Drive the product development process & lifecycle, from ideation to launch, ensuring timely delivery and high-quality discoverable data products to gain rapid 'time to insight' of information and content. Identify and prioritize data initiatives and projects based on their potential business impact, feasibility, and alignment with the data strategy. Drive the adoption of advanced data analytics and data science techniques to extract actionable insights from large and complex insurance datasets. Foster a culture of data literacy and data-driven decision-making across the organisation, providing training and resources to enhance data literacy and analytics capabilities. Collaborate with IT teams to assess and implement the necessary infrastructure, tools, and technologies to support the data strategy. Stay abreast of emerging trends, technologies, and best practices in data strategy, analytics, and the insurance industry, and assess their potential impact on business operations. Monitor and evaluate the performance of data initiatives, track key metrics, and provide regular reports to senior management on the effectiveness and ROI of data strategy efforts. Demonstrable experience in leading and managing matrix teams, fostering a collaborative and results-driven work environment. Key Skills & Experience Proven experience (8+ years) in data strategy, data management, or a related field, preferably in the insurance industry. Experience in a leadership role is highly desirable. Strong understanding of the insurance industry, including underwriting, claims management, actuarial science, risk assessment, and pricing. Deep knowledge of data strategy frameworks, data governance, and regulatory requirements related to data privacy and security in the insurance industry. Familiarity with advanced data analytics techniques, statistical modelling, machine learning algorithms, and data visualization tools. Strong leadership and team management skills, with the ability to inspire and guide a team of data strategy professionals. Excellent analytical and problem-solving skills, with the ability to translate complex data into strategic insights and recommendations. Proficiency in understanding programming languages such as Python, R, or SQL, and experience using data manipulation and analysis tools like Qlik Sense, Power BI, and Tableau. Exceptional communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels of the organization. Strong business acumen and the ability to align data strategy initiatives with the strategic goals of the organisation. Office 365 (MS Teams, MS PowerPoint, MS Excel, MS Word, SharePoint, Yammer) Business Intelligence Applications (Power BI, QLIK Sense, Tableau, or similar). SQL and SQL Server Reporting Services (SSRS). From a leadership perspective: Python, R (or other languages). Master Data Management Solutions (Informatica, Semarchy, IBM, or similar). Meta Data Management Solutions (Colibra, Alex Solutions, or similar). Qualifications Bachelor's degree in a relevant field such as computer science, information management, or a related business discipline. Certifications e.g., Certified Data Management Professional is desirable. Your career with us At MRSG, you'll find the flexibility, development, and support you need to excel in your career combined with a competitive salary and a benefits package that promotes wellbeing and work-life balance, on top of the standard features that include a non-contributory pension, private medical care, life assurance, and more! Diversity & Inclusion Creating an inclusive environment is a crucial part of the Munich Re culture, and we are committed to our Diversity & Inclusion Policy. We also seek to provide a fair and supportive work environment which provides learning and development opportunities for all. Working together, we are an employer of choice by building the workforce for today and the future. We make it happen. Together.
Company mission In the future, almost everything we consume will simply materialise on our doorsteps - what we call "e-commerce" today will simply be "commerce" tomorrow. But if we continue on today's trajectory, the growth of e-commerce risks damaging the environment, alienating our communities, and straining the bottom-line for small businesses. Relay is an e-commerce-native logistics network. We are built from the ground up for environmental, social, and economic sustainability. By building from the ground up we are able to entirely rethink both the middle and last mile enabling us to reduce the number of miles driven to deliver each parcel, lower carbon emissions, and lower costs, all while channelling funds to community members. At the same time, we're fixing the last broken aspect of e-commerce for consumers: delivery. As shoppers, we should have complete control over when and how we receive our purchases, and we should be able to return unwanted items as easily as we ordered them. That's why whenever you buy from a merchant powered by Relay, you'll be able to reschedule your delivery at any time. And if you don't like what you ordered, at the tap of a button we'll send someone to pick it up. To orchestrate this complex ballet, Relay relies on a wide range of technologies, from advanced routing and planning to sophisticated user experiences that guide our team members on the ground. About the role As a highly operational business, we rely on data science to power nearly every part of our network - from forecasting parcel volumes, to pricing and planning courier capacity, to understanding and improving the economics of our operation. We're hiring a Senior Data Scientist to help us optimise our middle mile operation and model the growth, performance, and economics of our pitstop network. This role spans across domains, touching forecasting, operations, and commercial planning, and is ideal for someone who thrives on applying models in ambiguous, real-world environments. You'll work with squads across routing, sortation, first mile, last mile, marketplace, and commercial functions; you'll focus on middle mile optimisation, pitstop expansion, and understanding the long-term financial value of our physical network . You'll also bring together data from across the business, often fragmented or messy, and use smart tooling, automation, and AI to transform it into usable insight. You'll need to be hands-on and pragmatic; it's a high-impact role with strong exposure to leadership and decision-making across the business. What you'll do Model and improve the cost, quality, and efficiency of middle mile operations, including vehicle use, timings, and handover reliability Partner with marketplace and ops teams to optimise driver acquisition, targeting, and pricing for the middle mile Optimise pitstop expansion in line with volume growth, capacity, and service levels Model pitstop-level LTV and unit economics to support capital investment and performance tracking Collaborate with other data scientists to support geo-sequencing, zone design, and integration with routing models In partnership with MLE and Staff Data Scientists, orchestrate and automate model pipelines in production Act as a thought partner for operations, commercial, and finance leads - bringing a scientific lens to planning and network growth What we're looking for 6+ years of experience in data science, with a strong record of delivering models into production Deep experience with Python and SQL Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts Comfort working in ambiguity and navigating messy or incomplete data Effective communication skills - you can explain technical results clearly to non-technical audiences Comfort working across functions and disciplines to drive impact Nice to haves Experience working in logistics, marketplaces, or similarly complex operational businesses Exposure to business planning, pricing, or commercial decision-making; experience with forecasting, scenario, and financial modelling (including partnering with Finance and Commercial teams and their models (in Excel, Google Sheets Familiarity with geospatial data Experience in fast-scaling startups or operational teams We're flexible on experience - if you're an experienced and pragmatic data scientist, with a track record of driving impact, we'd love to hear from you. What we offer 25 days annual leave per year (plus bank holidays). Equity package. Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more. Contributory pension scheme. Hybrid working Free membership of the gym in our co-working space in London. Cycle-to-work scheme A culture of learning and growth, where you're encouraged to take ownership from day one. Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms
09/05/2025
Full time
Company mission In the future, almost everything we consume will simply materialise on our doorsteps - what we call "e-commerce" today will simply be "commerce" tomorrow. But if we continue on today's trajectory, the growth of e-commerce risks damaging the environment, alienating our communities, and straining the bottom-line for small businesses. Relay is an e-commerce-native logistics network. We are built from the ground up for environmental, social, and economic sustainability. By building from the ground up we are able to entirely rethink both the middle and last mile enabling us to reduce the number of miles driven to deliver each parcel, lower carbon emissions, and lower costs, all while channelling funds to community members. At the same time, we're fixing the last broken aspect of e-commerce for consumers: delivery. As shoppers, we should have complete control over when and how we receive our purchases, and we should be able to return unwanted items as easily as we ordered them. That's why whenever you buy from a merchant powered by Relay, you'll be able to reschedule your delivery at any time. And if you don't like what you ordered, at the tap of a button we'll send someone to pick it up. To orchestrate this complex ballet, Relay relies on a wide range of technologies, from advanced routing and planning to sophisticated user experiences that guide our team members on the ground. About the role As a highly operational business, we rely on data science to power nearly every part of our network - from forecasting parcel volumes, to pricing and planning courier capacity, to understanding and improving the economics of our operation. We're hiring a Senior Data Scientist to help us optimise our middle mile operation and model the growth, performance, and economics of our pitstop network. This role spans across domains, touching forecasting, operations, and commercial planning, and is ideal for someone who thrives on applying models in ambiguous, real-world environments. You'll work with squads across routing, sortation, first mile, last mile, marketplace, and commercial functions; you'll focus on middle mile optimisation, pitstop expansion, and understanding the long-term financial value of our physical network . You'll also bring together data from across the business, often fragmented or messy, and use smart tooling, automation, and AI to transform it into usable insight. You'll need to be hands-on and pragmatic; it's a high-impact role with strong exposure to leadership and decision-making across the business. What you'll do Model and improve the cost, quality, and efficiency of middle mile operations, including vehicle use, timings, and handover reliability Partner with marketplace and ops teams to optimise driver acquisition, targeting, and pricing for the middle mile Optimise pitstop expansion in line with volume growth, capacity, and service levels Model pitstop-level LTV and unit economics to support capital investment and performance tracking Collaborate with other data scientists to support geo-sequencing, zone design, and integration with routing models In partnership with MLE and Staff Data Scientists, orchestrate and automate model pipelines in production Act as a thought partner for operations, commercial, and finance leads - bringing a scientific lens to planning and network growth What we're looking for 6+ years of experience in data science, with a strong record of delivering models into production Deep experience with Python and SQL Strong foundations in statistics and probability, with experience applying them in operational and/or financial contexts Comfort working in ambiguity and navigating messy or incomplete data Effective communication skills - you can explain technical results clearly to non-technical audiences Comfort working across functions and disciplines to drive impact Nice to haves Experience working in logistics, marketplaces, or similarly complex operational businesses Exposure to business planning, pricing, or commercial decision-making; experience with forecasting, scenario, and financial modelling (including partnering with Finance and Commercial teams and their models (in Excel, Google Sheets Familiarity with geospatial data Experience in fast-scaling startups or operational teams We're flexible on experience - if you're an experienced and pragmatic data scientist, with a track record of driving impact, we'd love to hear from you. What we offer 25 days annual leave per year (plus bank holidays). Equity package. Bupa Global: Business Premier Health Plan - Comprehensive global health insurance with direct access to specialists, dental care, mental health support and more. Contributory pension scheme. Hybrid working Free membership of the gym in our co-working space in London. Cycle-to-work scheme A culture of learning and growth, where you're encouraged to take ownership from day one. Plenty of team socials and events - from pottery painting to life-size Monopoly and escape rooms
Job Tittle: Data Science Manager Location: London/Hybrid A leading insurer in the Lloyd's market is seeking a Data Science Manager to lead key analytics initiatives driving underwriting insight, automation, and pricing improvements. Key Responsibilities: Lead ML projects (eg Risk Ranking, Digital-Follow, Pricing Analysis). Collaborate with Underwriters, Actuaries & Engineers to embed models into business tools. Manage a team of Data Scientists, ensuring strategic project delivery. Define data requirements and drive insight through dashboards and automation. Support governance through participation in pricing and design groups. Required Skills: Strong background in Data Science, ideally insurance/Lloyd's. Advanced Python & statistical modelling skills. Leadership experience with technical and stakeholder engagement. Azure stack (Data Factory, Synapse, Power BI) experience preferred. A great role for a commercially minded data leader ready to shape advanced analytics in a dynamic underwriting environment.
09/05/2025
Full time
Job Tittle: Data Science Manager Location: London/Hybrid A leading insurer in the Lloyd's market is seeking a Data Science Manager to lead key analytics initiatives driving underwriting insight, automation, and pricing improvements. Key Responsibilities: Lead ML projects (eg Risk Ranking, Digital-Follow, Pricing Analysis). Collaborate with Underwriters, Actuaries & Engineers to embed models into business tools. Manage a team of Data Scientists, ensuring strategic project delivery. Define data requirements and drive insight through dashboards and automation. Support governance through participation in pricing and design groups. Required Skills: Strong background in Data Science, ideally insurance/Lloyd's. Advanced Python & statistical modelling skills. Leadership experience with technical and stakeholder engagement. Azure stack (Data Factory, Synapse, Power BI) experience preferred. A great role for a commercially minded data leader ready to shape advanced analytics in a dynamic underwriting environment.
Job Profile Summary About the role : We are seeking an exceptional individual with a focus on business, customer solutions and user experience for the T&S I&E Price Management team. As part of the Innovation & Engineering (I&E) team that supports the Trading & Shipping entity (T&S) within bp, you will undertake the development, support, and on-going maintenance of application systems, both packaged and bespoke. The T&S I&E strategy is to create a world-class digital & communications technology organisation and capability that will propel bp differentiation from its competitors. You will design and develop applications that meet the business needs while keeping in line with the broader I&E strategy of the group for the next generation of price management. Solutions will provide innovative and intuitive software by automating manual activity and/or provide a differentiated user experience. Critical to role success will be possession of technical aptitude to communicate with globally distributed team of architects, developers, support engineers and business users to understand, shape and deliver solutions. As part of the team, you will deliver, and support solutions used globally in Singapore, London, Houston, and Chicago. Essential Experience and Job Requirements: • Strong experience in solution design and implementation using the following software development languages; Java, C/C++, C#, JEE, Spring Boot, Python, Perl, Shell scripting, REST API.Commodities trade lifecycle and energy trading knowledge. • Strong analytical, problem solving and testing skills. • Effective and clear communicator, ability to lead and work well with the team, high self-motivation and strong delivery focus. • Experience with full end-to-end project development lifecycle and change / release management to operations. • Demonstrable experience in an Agile working environment, with strong knowledge of Agile methodology (SCRUM) and continuous delivery. (formal qualification not essential). • Working knowledge of a continuous integration and delivery pipeline tools such as Jenkins/Ansible/Azure DevOps. • Experience of running applications in Unix/Linux environments. • Practical experience building user interfaces for complex web applications and modern JavaScript frameworks (Angular/React preferred). • Experience with database design, data modelling and analysis in Oracle/PostgreSQL with strong RDMS database query skills. • Working knowledge of cloud computing platforms and microservices/serverless architecture in AWS or Azure. • Good knowledge in architecture and design of applications running in RedHat OpenShift container platform. • Solid understanding of programming paradigms such as distributed architectures and multi-threaded program design. • Embraces a culture of change and agility. • Effective team player who looks beyond own area / organizational boundaries to consider the bigger picture and/or perspective of others and works across cultural boundaries with sensitivity. • Applies judgment and common sense - uses insight and good judgement to enable commercially sound, efficient, and pragmatic decisions and solutions, responding to situations as they arise. • Strong knowledge of relational and multi-dimensional database architectures. • Very strong user interface / user experience design skills, including UI/X design principles, human-computer interaction paradigms, usability guidelines, layout, navigation, and design Job Advert Essential Education: Bachelor's Degree, or comparable qualification, in one of the following areas: Accounting, Economics, Finance, Mathematics, Computer Science, Management Information System We are an equal opportunity employer and value diversity at out company. We do not discriminate on the basis of race , religion, color , national origin , gender , sexual orientation, age, marital status, veteran status or disability status. Flexible working options will be considered. #Digital Engineering Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required No Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
10/11/2021
Full time
Job Profile Summary About the role : We are seeking an exceptional individual with a focus on business, customer solutions and user experience for the T&S I&E Price Management team. As part of the Innovation & Engineering (I&E) team that supports the Trading & Shipping entity (T&S) within bp, you will undertake the development, support, and on-going maintenance of application systems, both packaged and bespoke. The T&S I&E strategy is to create a world-class digital & communications technology organisation and capability that will propel bp differentiation from its competitors. You will design and develop applications that meet the business needs while keeping in line with the broader I&E strategy of the group for the next generation of price management. Solutions will provide innovative and intuitive software by automating manual activity and/or provide a differentiated user experience. Critical to role success will be possession of technical aptitude to communicate with globally distributed team of architects, developers, support engineers and business users to understand, shape and deliver solutions. As part of the team, you will deliver, and support solutions used globally in Singapore, London, Houston, and Chicago. Essential Experience and Job Requirements: • Strong experience in solution design and implementation using the following software development languages; Java, C/C++, C#, JEE, Spring Boot, Python, Perl, Shell scripting, REST API.Commodities trade lifecycle and energy trading knowledge. • Strong analytical, problem solving and testing skills. • Effective and clear communicator, ability to lead and work well with the team, high self-motivation and strong delivery focus. • Experience with full end-to-end project development lifecycle and change / release management to operations. • Demonstrable experience in an Agile working environment, with strong knowledge of Agile methodology (SCRUM) and continuous delivery. (formal qualification not essential). • Working knowledge of a continuous integration and delivery pipeline tools such as Jenkins/Ansible/Azure DevOps. • Experience of running applications in Unix/Linux environments. • Practical experience building user interfaces for complex web applications and modern JavaScript frameworks (Angular/React preferred). • Experience with database design, data modelling and analysis in Oracle/PostgreSQL with strong RDMS database query skills. • Working knowledge of cloud computing platforms and microservices/serverless architecture in AWS or Azure. • Good knowledge in architecture and design of applications running in RedHat OpenShift container platform. • Solid understanding of programming paradigms such as distributed architectures and multi-threaded program design. • Embraces a culture of change and agility. • Effective team player who looks beyond own area / organizational boundaries to consider the bigger picture and/or perspective of others and works across cultural boundaries with sensitivity. • Applies judgment and common sense - uses insight and good judgement to enable commercially sound, efficient, and pragmatic decisions and solutions, responding to situations as they arise. • Strong knowledge of relational and multi-dimensional database architectures. • Very strong user interface / user experience design skills, including UI/X design principles, human-computer interaction paradigms, usability guidelines, layout, navigation, and design Job Advert Essential Education: Bachelor's Degree, or comparable qualification, in one of the following areas: Accounting, Economics, Finance, Mathematics, Computer Science, Management Information System We are an equal opportunity employer and value diversity at out company. We do not discriminate on the basis of race , religion, color , national origin , gender , sexual orientation, age, marital status, veteran status or disability status. Flexible working options will be considered. #Digital Engineering Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required No Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
Job Profile Summary About the role : We are seeking an exceptional individual with a focus on business, customer solutions and user experience for the T&S I&E Price Management team. As part of the Innovation & Engineering (I&E) team that supports the Trading & Shipping entity (T&S) within bp, you will undertake the development, support, and on-going maintenance of application systems, both packaged and bespoke. The T&S I&E strategy is to create a world-class digital & communications technology organisation and capability that will propel bp differentiation from its competitors. You will design and develop applications that meet the business needs while keeping in line with the broader I&E strategy of the group for the next generation of price management. Solutions will provide innovative and intuitive software by automating manual activity and/or provide a differentiated user experience. Critical to role success will be possession of technical aptitude to communicate with globally distributed team of architects, developers, support engineers and business users to understand, shape and deliver solutions. As part of the team, you will deliver, and support solutions used globally in Singapore, London, Houston, and Chicago. Essential Experience and Job Requirements: • Strong experience in solution design and implementation using the following software development languages; Java, C/C++, C#, JEE, Spring Boot, Python, Perl, Shell scripting, REST API.Commodities trade lifecycle and energy trading knowledge. • Strong analytical, problem solving and testing skills. • Effective and clear communicator, ability to lead and work well with the team, high self-motivation and strong delivery focus. • Experience with full end-to-end project development lifecycle and change / release management to operations. • Demonstrable experience in an Agile working environment, with strong knowledge of Agile methodology (SCRUM) and continuous delivery. (formal qualification not essential). • Working knowledge of a continuous integration and delivery pipeline tools such as Jenkins/Ansible/Azure DevOps. • Experience of running applications in Unix/Linux environments. • Practical experience building user interfaces for complex web applications and modern JavaScript frameworks (Angular/React preferred). • Experience with database design, data modelling and analysis in Oracle/PostgreSQL with strong RDMS database query skills. • Working knowledge of cloud computing platforms and microservices/serverless architecture in AWS or Azure. • Good knowledge in architecture and design of applications running in RedHat OpenShift container platform. • Solid understanding of programming paradigms such as distributed architectures and multi-threaded program design. • Embraces a culture of change and agility. • Effective team player who looks beyond own area / organizational boundaries to consider the bigger picture and/or perspective of others and works across cultural boundaries with sensitivity. • Applies judgment and common sense - uses insight and good judgement to enable commercially sound, efficient, and pragmatic decisions and solutions, responding to situations as they arise. • Strong knowledge of relational and multi-dimensional database architectures. • Very strong user interface / user experience design skills, including UI/X design principles, human-computer interaction paradigms, usability guidelines, layout, navigation, and design Job Advert Essential Education: Bachelor's Degree, or comparable qualification, in one of the following areas: Accounting, Economics, Finance, Mathematics, Computer Science, Management Information System We are an equal opportunity employer and value diversity at out company. We do not discriminate on the basis of race , religion, color , national origin , gender , sexual orientation, age, marital status, veteran status or disability status. Flexible working options will be considered. #Digital Engineering Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required No Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
07/10/2021
Full time
Job Profile Summary About the role : We are seeking an exceptional individual with a focus on business, customer solutions and user experience for the T&S I&E Price Management team. As part of the Innovation & Engineering (I&E) team that supports the Trading & Shipping entity (T&S) within bp, you will undertake the development, support, and on-going maintenance of application systems, both packaged and bespoke. The T&S I&E strategy is to create a world-class digital & communications technology organisation and capability that will propel bp differentiation from its competitors. You will design and develop applications that meet the business needs while keeping in line with the broader I&E strategy of the group for the next generation of price management. Solutions will provide innovative and intuitive software by automating manual activity and/or provide a differentiated user experience. Critical to role success will be possession of technical aptitude to communicate with globally distributed team of architects, developers, support engineers and business users to understand, shape and deliver solutions. As part of the team, you will deliver, and support solutions used globally in Singapore, London, Houston, and Chicago. Essential Experience and Job Requirements: • Strong experience in solution design and implementation using the following software development languages; Java, C/C++, C#, JEE, Spring Boot, Python, Perl, Shell scripting, REST API.Commodities trade lifecycle and energy trading knowledge. • Strong analytical, problem solving and testing skills. • Effective and clear communicator, ability to lead and work well with the team, high self-motivation and strong delivery focus. • Experience with full end-to-end project development lifecycle and change / release management to operations. • Demonstrable experience in an Agile working environment, with strong knowledge of Agile methodology (SCRUM) and continuous delivery. (formal qualification not essential). • Working knowledge of a continuous integration and delivery pipeline tools such as Jenkins/Ansible/Azure DevOps. • Experience of running applications in Unix/Linux environments. • Practical experience building user interfaces for complex web applications and modern JavaScript frameworks (Angular/React preferred). • Experience with database design, data modelling and analysis in Oracle/PostgreSQL with strong RDMS database query skills. • Working knowledge of cloud computing platforms and microservices/serverless architecture in AWS or Azure. • Good knowledge in architecture and design of applications running in RedHat OpenShift container platform. • Solid understanding of programming paradigms such as distributed architectures and multi-threaded program design. • Embraces a culture of change and agility. • Effective team player who looks beyond own area / organizational boundaries to consider the bigger picture and/or perspective of others and works across cultural boundaries with sensitivity. • Applies judgment and common sense - uses insight and good judgement to enable commercially sound, efficient, and pragmatic decisions and solutions, responding to situations as they arise. • Strong knowledge of relational and multi-dimensional database architectures. • Very strong user interface / user experience design skills, including UI/X design principles, human-computer interaction paradigms, usability guidelines, layout, navigation, and design Job Advert Essential Education: Bachelor's Degree, or comparable qualification, in one of the following areas: Accounting, Economics, Finance, Mathematics, Computer Science, Management Information System We are an equal opportunity employer and value diversity at out company. We do not discriminate on the basis of race , religion, color , national origin , gender , sexual orientation, age, marital status, veteran status or disability status. Flexible working options will be considered. #Digital Engineering Entity Innovation & Engineering Job Family Group IT&S Group Relocation available No Travel required No Country United Kingdom About BP INNOVATION & ENGINEERING Join us in creating, growing, and delivering innovation at pace, enabling us to thrive while transitioning to a net zero world. All without compromising our operational risk management. Working with us, you can do this by: • deploying our integrated capability and standards in service of our net zero and safety ambitions • driving our digital transformation and pioneering new business models • collaborating to deliver competitive customer-focused energy solutions • originating, scaling and commercialising innovative ideas, and creating ground-breaking new businesses from them • protecting us by assuring management of our greatest physical and digital risks Because together we are: • Originators, builders, guardians and disruptors • Engineers, technologists, scientists and entrepreneurs • Empathetic, curious, creative and inclusive
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