at Verisk
Full TimeWe help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help business, people, and society become stronger, more resilient, and sustainable.
As the nation’s largest data aggregator, and a market leader in analytics solutions for the insurance and financial industry, Opta Information Intelligence is looking to bolster its growing data science team. By building and delivering complex machine learning-based products, you’ll have an opportunity to positively impact the decision-making of our many clients and partners.
As a Data Scientist you will be responsible for researching and developing data science and machine learning solutions related to the improving our product range. You will collate with our team of data scientists, data engineers, and other departments to develop and deploy machine Learning & data science products that integrate seamlessly with our production systems for both batch and real-time processes. The ideal candidate will bring with them established best practices and an expertise in machine learning model development and deployment, statistical analysis and problem-solving skills. If you are a dedicated individual who thrives in a dynamic and results-driven environment, then this is the position for you!
Responsibilities:
Conduct research into latest developments and provide business with solutions to the range of data science problems
Develop end-to-end machine learning, from research and development to deployment into our production system
Liase with Product and IT teams to push through new products
Work with our machine learning engineers to ensure smooth deployment of models into production
Sets the vision for the use of new and innovative tools and technology.
Employ coding and documentation best practices
Maintains and fosters an industry awareness of new developments in machine learning techniques and tools, and ensures quick execution in their use within the department
Bachelors or Masters Degree in Quantitative Analytics, Statistics, Mathematics, similar discipline
3+ years of experience developing and deploying machine learning models
3+ years of Statistical Analysis and Modeling
Experience running and owning Data Science projects with minimal help from senior staff
Experience working with AWS services including: S3, Lambda, EC2, Step Functions, Redshift, SageMaker
Expert level knowledge of Python
Strong background in deep learning frameworks such as TensorFlow or PyTorch
Experience dealing with non-data science teams and translating technical ideas to non-technical people
A passion for Data Science and a strong growth mindset
For over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work® Certification, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
We’re 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
Verisk Businesses
Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement
Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
http://www.verisk.com/careers.html
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.
