Data Solutions Specialist – Annuities & Pensions Data

Data Solutions Specialist – Annuities & Pensions Data

Full-Time 65000 - 65000 £ / year (est.) No working from home possible
S

At a Glance

  • Tasks: Design and enhance data solutions for BPA onboarding and pension servicing.
  • Company: Join Standard Life, a leader in financial services with a focus on innovation.
  • Benefits: Enjoy a competitive salary, bonus, and comprehensive benefits package.
  • Other info: Permanent role with opportunities for growth in a dynamic team.
  • Why this job: Make a real impact in the financial sector while working in a hybrid environment.
  • Qualifications: Experience in data solutions and a passion for transforming financial services.

The predicted salary is between 65000 - 65000 £ per year.

Standard Life is seeking a Data Solutions Specialist to design, build and enhance data solutions for BPA onboarding and pension servicing across the UK. You will join the BPA Data team and partner with Transformation to deliver scalable models, tooling and automation.

The role is permanent with hybrid work from Edinburgh, Birmingham, Telford or London offices, plus home working. Salary from £65k plus bonus and a comprehensive benefits package.

#J-18808-Ljbffr

Data Solutions Specialist – Annuities & Pensions Data employer: Standard Life (previously Phoenix Group)

Standard Life is an excellent employer, offering a dynamic work environment where BPA Actuaries can thrive and make a meaningful impact in the life insurance sector. With a strong focus on employee growth, competitive salaries, and an attractive benefits package that includes private medical cover and generous annual leave, employees are supported in achieving a healthy work-life balance. The hybrid working model allows for flexibility, making it an ideal workplace for those seeking both professional development and personal fulfilment.

S

Contact Details:

Standard Life (previously Phoenix Group) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Solutions Specialist – Annuities & Pensions Data

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Standard Life (previously Phoenix Group)!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Solutions Specialist – Annuities & Pensions Data at Standard Life (previously Phoenix Group).

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Standard Life (previously Phoenix Group).

Apply Directly through Our Website

When you find a suitable opening like Data Solutions Specialist – Annuities & Pensions Data at Standard Life (previously Phoenix Group), make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Solutions Specialist – Annuities & Pensions Data

Data Solutions Design
Data Modelling
Tooling Development
Automation
Pension Servicing Knowledge
BPA Onboarding Expertise
Collaboration Skills

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Standard Life (previously Phoenix Group), your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Standard Life (previously Phoenix Group). Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Standard Life (previously Phoenix Group)

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Standard Life (previously Phoenix Group)!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.