Data Science Engineer
Crawley 1 day a month in the office
At Peregrine, we’re constantly seeking Specialist Talent that offer the ideal mix of skills, experience, and attitude, to place with our vast array of clients. From Project Change Professionals in large government organisations to Software Developers in the private sector – we are always in search of the best talent to place, now.
How Specialist Talent Works
At Peregrine, we find the best talent for our clients. Unlike traditional contractors, where you are hired by the client, you remain a permanent employee of Peregrine, with access to all our standard benefits:
A Permanent Position
Life Assurance
5% annual bonus
Pension Scheme – Employer matched to 5%
Voluntary Benefits – Health Cash Plan, Dental, Will Writing etc
Annual Leave – 23 days rising to 27 with length of service
Sick Pay – Increasing with length of service
Role overview: Data Scientist (Crawley, Hybrid working)
As a Data Scientist you will have the opportunity to apply your skills to a wide range of business problems as part of a core team of data scientists, engineers and analysts. We operate in small teams adopting a version of Agile that keeps us on a 2-week review cycle. Our objective is to deliver business value using an MVP approach that will then scale to a fully developed and realised solution.
You will have the opportunity to work with a range of stakeholders to determine new opportunities in decisioning (new business and policy management), intent, pricing and monitoring. We will be operating across several business functions, solving a wide variety of problems which will involve changing context fairly often.
We are looking for people that are both hands on Data Scientists and good communicators that enjoy working in a team environment. We will both delivering data science solutions, but also helping the business understand the opportunity data science brings.
This is an ideal role for an individual who is passionate about the use of Data Science to influence decisions and is keen to learn more about delivering value through the use of data. You will be expected to conceptualise new ways of doing things, communicate vision simply and effectively to key stakeholders, and see these visions through to implementation.
Key responsibilitiesApply the data science product lifecycle principles to new projects (Design, exploratory data analysis, building, evaluation, deployment, monitoring and maintenance)
Contribute to developing production data science models, monitoring their performance, and managing their lifecycle (retraining, optimising and upgrading)
Work on the end-to-end data solution including understanding complex business challenges, designing scientific solutions, working large and small data sets (including 3rd party and internal data of a wide variety), using cutting-edge machine learning or statistical modelling techniques to derive insights
Work collaboratively with data scientists, data engineers and other technical people including pricing teams in order to help support maturation of analytics practice within the organization.
Write high quality python code using industry best practice for model training and deployment
Continuous development of knowledge base and experience, including researching new techniques and technologies, communicating this back with the team
Skills criteriaExperience of data science, advanced analytics or a genuine interest to learn.
Ability to conduct high quality research in a suitably timely manner working in both independently and in small teams as required by the task.
Familiarity with version control and other IT delivery tools is required
Understanding / identifying opportunity to apply machine learning knowledge to solve business problems
Experience in developing predictive and prescriptive analysis (predictive modelling, machine learning or data mining) used to draw key business insights and clearly articulate findings for target audience
Exceptional written communications skills and effective presentation skills
Willingness to learn best practice in software development
Strong python programming skills
Experience of TDD (pytest or other testing framework)
Desirable skillsGraduate or Postgraduate qualification or equivalent experience in a relevant discipline e.g. engineering, mathematics, physics, statistics
Experience of data science in finance, insurance or Ecommerce is an advantage but not required
Experience of deployment in a cloud environment
Experience with neural networks and Tensor Flow, CatBoost, XGBoost, SKlearn, Pandas
Experience with API development
SQL experience
Software engineering experience
DevOps / MLOps experience
Good working understanding of CI/CD
If you hold the experience and technical skills outlined above which would enable you to hit the ground running, please apply to find out more information about this exciting opportunity.
About us:
At Peregrine, we see beyond the immediate and look to the horizon. We build lasting, meaningful partnerships with our clients, and deliver flexible solutions for every resourcing need, both now and in the future. Together, we help our clients to engage, develop and harness the skills they need to achieve and grow the workforce they want.
Our culture:
At Peregrine we embrace fresh ideas, and we love learning fast. Our solutions are trusted and established, so we have the confidence of knowing we have a solid foundation. We rely on openness and honesty, and we’re always ready to help each other out. And we believe that our work can benefit society – whether it’s finding the digital talent of the future or being a driver for social mobility.
Our commitment to diversity:
At Peregrine, we’re proudly committed to championing diversity and inclusion, with company-wide initiatives to drive greater social mobility and reduce our environmental impact. Our teams represent a huge breadth of cultures, languages, and ethnicities, and over 20 different nationalities. We also employ candidates from a range of educational and socioeconomic backgrounds. Our partnerships with numerous charities ensure that we can stay well-informed and continue to improve our practices for the future. It reflects in the way we recruit for our clients as we assist them in becoming more diverse
