Senior Data Scientist
| Posting date: | 24 May 2024 |
|---|---|
| Salary: | £55,000 to £65,000 per hour |
| Additional salary information: | Competitive |
| Hours: | Full time |
| Closing date: | 09 June 2024 |
| Location: | London, N1C 4AG |
| Company: | Saga |
| Job type: | Permanent |
| Job reference: | saga/TP/135599/2927 |
Summary
Senior Data Scientist
Salary £55,000 to £65,000
Permanent
FT – 35 hours per week
**Hybrid with occasional visits into the London Office
Closing date 9th June 2024
Here at Saga, we are embarking on a data transformation journey across all our established business units, Cruise, Insurance, Travel, Financial Services and Saga Magazine. We are now ready to build a high performing Data Science team around our newly appointed Head of Data Science.
Working as one of our Senior Data Scientist at Saga, you will play a pivotal role in shaping our data strategy and driving the development of advanced analytics solutions. Your primary responsibility will be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques.
You will have access to the latest analytical tools and the chance to work with some of the most renowned Decision Data leaders in the UK market.
** Remote working with a hybrid approach, occasionally you will be required to attend some team days and business meetings in our Saga hub located in London - Kings Cross. You will need to be within a reasonable commuting distance to undertake this role.
*** We are keen to recruit a new starter for our growing team to start in July / Aug 2024
Package DescriptionEveryday our colleagues deliver exceptional experiences to our customers. We believe exceptional work deserves even more exceptional rewards, that's why we have put together an amazing benefits package.
- Our working week is 35 hours per week, these can be worked flexibly to suit your working style
- 25 days holiday + bank holidays
- Option to purchase additional leave up to 5 extra days
- Pension scheme matched up to 10%
- Life assurance policy on joining us
- Wellbeing programme
- Colleague discounts including family discounts on cruises and holidays!
- Range of reductions and offers from leading retailers, travel groups and entertainment companies
- Enhanced maternity and paternity leave
- Grandparents leave
- Company performance related annual bonus - Up to 5%
- Income protection
- Access to Saga Academy, our bespoke learning platform
Interview Process:
- CV screen
- Technical Test
- Competency and Technical Interview with the Line Managers on TEAMS
- Final stage – meeting the wider team
Main Responsibilities
Our Senior Data Scientist will be fully accountable for the following areas;
- Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies.
- Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making.
- Collaboration with Stakeholders: Working closely with business stakeholders and technical colleagues to understand data science requirements and integrate data science solutions into existing workflows & applications. Communicating effectively with both technical and non-technical counterparts.
- Data Strategy and Model Governance: Collaborate with cross-functional teams to execute the company's data strategy. Ensure models are fair, explainable and in compliance with relevant regulations and policies.
- Project Management – Manage and deliver projects on time, to high standards.
- Agile ways of working - Demonstrate experience in working in an agile environment, participating in sprint planning, and adapting to changing priorities.
- Continuous learning - Stay abreast of industry trends, emerging technologies, and best practices in data science and machine learning. Bring the most relevant ones back to SAGA and find ways to implement them to unlock business value.
Working as a Senior Data Scientist at Saga, you will need to demonstrate the following skills and experience;
- Previously worked in a data science role for a large data rich organisation, with a track record of independent project delivery.
- Can demonstrate strong programming skills in languages such as Python or R. SQL also necessary to leverage old code base.
- Be seen as an expert in machine learning, statistical modelling and data analysis.
- Demonstrate excellent communication skills with the ability to convey complex technical concepts to both technical and non-technical stakeholders.
- Experience with big data technologies and cloud platforms, ideally Azure.
- A curious nature, with the drive to learn and master new tech and methods.Desirable;
- Previously worked in an agile working environment, with a focus on iterative and collaborative project delivery.
- Have worked with data visualisation tools e.g. Tableau.
- Experience in model monitoring. (MLOPS experience would be desirable.)
- Have gained a master's or Ph.D. in a quantitative field such as Computer Science, Statistics or related disciplines.
Over the past 70 years we have become the UK's specialist provider of products and services to people aged over 50 in the UK. The Saga brand has become one of the most recognised and trusted brands amongst UK consumers in this demographic, recognised for its high quality products and exceptional standards of service. These include cruises and holidays, insurance, personal finance and the Saga Magazine.
At Saga we are committed to treating all employees fairly and to offering equal opportunities in all aspects of employment and advancement. We value diversity not just because it is the right thing to do, but because diverse teams perform better.
Fair consideration is given to applications from all applicants, including those with disabilities and those over who are over 50 as we are champions of age inclusivity. We are an official Disability Confident Committed employer and ensure that our recruitment process is inclusive and accessible and we will make reasonable adjustments as required. For more information on our DEI policies please visit our Saga Careers page.
Saga does not accept agency CVs unless specifically engaged on the role by the Talent Acquisition Team. Please do not forward CVs to our recruiters, employees or any other company location. Saga will not be responsible for any fees related to CVs received in this unsolicited manner.
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