Climate Data Analyst
2 months ago
DNV is seeking a highly skilled Climate Data Scientist to join our Sustainability Consulting team. As a key member of our team, you will work with a diverse range of clients across industries to assess climate risks and impacts, develop climate resilience and adaptation strategies, and support clients in meeting their sustainability goals.
Key Responsibilities:- Develop and apply advanced geospatial analysis techniques and climate models to assess climate risks and impacts on various sectors.
- Utilize machine learning models and data-driven approaches to predict climate extremes, analyze environmental data, and support climate resilience and adaptation strategies.
- Support the maintenance and development of a cloud repository of raw and processed climate data and related information sources.
- Work alongside the team to develop data management and data analytics in cloud, with existing infrastructure.
- Evaluate physical and transitional climate risks, integrate findings into financial models, and develop risk mitigation strategies for clients using state-of-art geospatial tools and machine learning methods.
- Prepare and present high-quality reports and presentations that clearly communicate complex analyses and recommendations to a non-technical audience.
- Contribute to the growth of the Climate Science and ESG Consulting team by supporting business development activities, including proposal writing and client relationship management.
We believe that there are a number of key reasons why a career with us here at DNV could be for you:
- Access to a wide range of learning and development opportunities, including specialized training, mentoring, and career advancement paths within a global organisation.
- Work alongside a team of multidisciplinary experts who are passionate about sustainability and climate science, within a supportive and dynamic work environment.
- Engage in projects that have a tangible impact on society and the environment, helping clients achieve their sustainability goals and mitigate climate risks.
- We support flexible working arrangements and prioritise a healthy work-life balance for all employees.
We place great value on all our people and the contribution they make to our business, so it's important that our rewards make us all feel valued here. That's why we recognise individual needs and offer a flexible reward and benefits package that puts you first, including:
- Lifestyle benefits (26 days of annual leave + opportunity for up to 10 days unpaid leave, sabbatical leave, flexible working options).
- Non-contractual Profit Share Scheme.
- Wellbeing benefits: (including Private Medical, Dental Insurance, Health Assessments, Gym allowance). Company contribution towards eye tests and glasses (for computer/laptop users), and Flu Vaccinations. Also, our Employee Assistance Programme (EAP) provides free and confidential support for issues including work, family, relationships, money and health and we provide free fruit in our offices.
- Pension Scheme: employer-matched pension contributions (employer contribution - up to 9%).
- Life Assurance and Group Income Protection benefits.
- Travel benefits: Season Ticket Loan, Cycle to Work Scheme, Electric Vehicle Salary Sacrifice Scheme (for personal use).
- Re-imbursement of relevant Professional Membership Fees (up to £570).
- Access to employee retail discount site for high street and on-line shopping.
DNV is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without regard to gender, religion, race, national or ethnic origin, cultural background, social group, disability, sexual orientation, gender identity, marital status, age or political opinion. Diversity is fundamental to our culture and we invite you to be part of this diversity.
We are looking for a highly skilled Climate Data Scientist to join our team. If you are passionate about using your expertise to tackle some of the world's most pressing environmental challenges and drive meaningful change, we encourage you to apply.
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