Senior Data Scientist

Gallagher; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where you'll leverage your expertise in Python and Azure Machine Learning to develop innovative solutions that address real-world business challenges. You'll collaborate with a talented team to create impactful analytics and digital products, all while enjoying a hybrid work environment. This role offers the chance to shape the future of reinsurance through cutting-edge data science initiatives. If you're passionate about data-driven innovation and ready to make a difference, this opportunity is perfect for you.

Benefits

25 days holiday plus bank holidays

Defined contribution pension scheme

Life insurance

Income protection

Health cash plan or Private medical insurance

Three fully paid volunteering days

Employee Stock Purchase plan

Discounted gym membership

Season ticket loan

Emergency back-up family care

Qualifications

• Proven track record in data science at a senior level.
• Strong Python programming skills and experience with Azure Machine Learning.

Responsibilities

• Develop and implement machine learning models using Python and Azure.
• Collaborate with cross-functional teams to drive data-driven innovation.

Skills

Python

Azure Machine Learning

Classical Machine Learning

Deep Learning

SQL

Data Analysis

Communication Skills

Problem-Solving

Education

Degree in Computer Science

Degree in Data Science

Tools

Azure

AWS

GCP

Job description

Introduction

Join us at Gallagher Re, the trailblazers of the reinsurance world, where every day brings new opportunities to shape the future. We empower our clients with cutting-edge analytics and insights, providing them the confidence to make strategic decisions that transform industries. As a team member, you'll be at the forefront of innovation, translating data into impactful solutions and taking the reins of your career like never before.

We believe that every candidate brings something special to the table, including you! So, even if you feel that you’re close but not an exact match, we encourage you to apply.

Overview

We are seeking a talented Senior Data Scientist to join our Data Science team at Gallagher Re and help lead our Data Science work. You will be joining a newly established Data Science & AI Centre of Excellence within our Digital Products team.

We are looking for expertise in Python and Azure Machine Learning to develop data-driven solutions to address business challenges and create innovative digital products. The role is commercially focused and you will work alongside a team of experienced actuaries, brokers, data scientists, and product and delivery managers to create value for our client insurers through creation of innovative analytics and digital products.

This role is based from our London City office and we offer hybrid working and the expectation is to be in office two days per week.

How you'll make an impact

• Develop and implement machine learning models using Python and Azure Machine Learning.
• Migrate and operationalise models for flood, quake, climate, and hurricane predictions.
• Support the development of our Cyber Technographic Insight Discovery Engine (TIDE).
• Utilise classical machine learning techniques to build explainable models.
• Contribute to our AI strategy and enhance internal data science capabilities.
• Collaborate with cross-functional teams to drive data-driven innovation.
• Write well-documented, tested, and readable code.
• Conduct data analysis, cleaning, and visualisation to uncover insights.
• Communicate findings effectively to both technical and non-technical audiences.

About You

• Proven track record in data science at a senior level.
• Strong Python programming skills and experience with Azure Machine Learning.
• Understanding of classical machine learning and deep learning techniques.
• Commercially focused with an interest in reinsurance and risk.
• Excellent problem-solving, analytical, and communication skills.
• Degree in Computer Science, Data Science, or related field, or equivalent experience.
• Familiarity with cloud platforms, particularly Azure is preferred however experience with AWS and GCP will also be considered.
• SQL knowledge is preferred.
• Experience with deep learning frameworks and image analysis.
• Knowledge of insurance industry, particularly pricing and risk selection.

Compensation and benefits

On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

Below are the minimum core benefits you’ll get, depending on your job level these benefits may improve:

• Minimum of 25 days holiday, plus bank holidays, and the option to ‘buy’ extra days
• Defined contribution pension scheme, which Gallagher will also contribute to
• Life insurance, which will pay 4x your basic annual salary, which you can top-up to 10x
• Income protection, we’ll cover up to 50% of your annual income, with options to top up
• Health cash plan or Private medical insurance

Other benefits include:

• Three fully paid volunteering days per year
• Employee Stock Purchase plan, offering company shares at a discount
• Share incentive plan, HMRC approved, tax effective, stock purchase plan
• Critical illness cover
• Discounted gym membership, with over 3,000 gyms nationally
• Season ticket loan
• Access to a discounted voucher portal to save money on your weekly shop or next big purchase
• Emergency back-up family care
• And many more…

We value inclusion and diversity

Inclusion and diversity (I&D) is a core part of our business, and it’s embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work.

Gallagher embraces our employees’ diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest.

Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long-term health conditions or disabilities.

Should you require reasonable adjustments to your application, please get in touch with [e-mail]. If you’d prefer to speak on the phone, please request a call back, leaving details, so we get in touch.

Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities.

Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non-conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected (herein referred to as “protected characteristics”) by applicable federal, state, or local laws.

Equal employment opportunity will be extended in all aspects of the employer-employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

• Proven track record in data science at a senior level.
• Strong Python programming skills and experience with Azure Machine Learning.
• Understanding of classical machine learning and deep learning techniques.
• Commercially focused with an interest in reinsurance and risk.
• Excellent problem-solving, analytical, and communication skills.
• Degree in Computer Science, Data Science, or related field, or equivalent experience.
• Familiarity with cloud platforms, particularly Azure is preferred however experience with AWS and GCP will also be considered.
• SQL knowledge is preferred.
• Experience with deep learning frameworks and image analysis.
• Knowledge of insurance industry, particularly pricing and risk selection.

• Develop and implement machine learning models using Python and Azure Machine Learning.
• Migrate and operationalise models for flood, quake, climate, and hurricane predictions.
• Support the development of our Cyber Technographic Insight Discovery Engine (TIDE).
• Utilise classical machine learning techniques to build explainable models.
• Contribute to our AI strategy and enhance internal data science capabilities.
• Collaborate with cross-functional teams to drive data-driven innovation.
• Write well-documented, tested, and readable code.
• Conduct data analysis, cleaning, and visualisation to uncover insights.
• Communicate findings effectively to both technical and non-technical audiences.