Data Scientist

Standard Life (previously Phoenix Group); Greater London; Hybrid; GBP 45,000 - 50,000; Full time

Benefits offered by this job

Private medical cover

38 days annual leave

Excellent pension

Life assurance 12x salary

Volunteer days

Job summary

Standard Life in the United Kingdom is seeking a data scientist to develop advanced analytics, ML & AI solutions in a customer-focused environment. The role blends office and home working across multiple city offices, with a focus on scalable data science practices and experimentation.

You will collaborate with business units to gather requirements, wrangle data from diverse sources, and deploy solutions that drive growth and informed decisions.

Qualifications

• Proven ability to develop and deploy statistical and machine learning models.
• Experience with Python, SQL, and big data tooling.
• Experience with BI tools for analytics and reporting.
• Modern software development practices including Git, code reviews, and CI/CD.

Responsibilities

• Act as data domain expert to influence business decisions.
• Build, develop and deploy data science solutions following team practices.
• Communicate findings clearly to stakeholders and shape the narrative.
• Deliver data science solutions and explore next steps with stakeholders.
• Ensure compliance and maintain audit trails.

Skills

Python

SQL

Spark

Tableau/PowerBI

Git/CI-CD

Tools

Spark

Tableau

PowerBI

Job description

Job Description

If you're someone who enjoys solving complex problems, who brings analytical thinking, attention to detail and a passion for problem solving, you’ll thrive as our next data scientist in our Data Science team.

Job Type:Permanent

Location: This role could be based in either our Edinburgh, Birmingham, Telford or London offices with time spent working in the office and at home.

Flexible working: All roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about flexible working here.

Closing Date: 23/09/2026

Salary and benefits: £45,000 - £50,000 plus an indicative bonus range of 16 – 32%, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more.

Who are we?

We’re Standard Life, a retirement specialist focused entirely on retirement savings and income. We champion the belief that everyone’s journey to and through retirement can be better, and for more than 200 years, we’ve been helping our customers plan and prepare for their financial futures.

Life today is increasingly complicated, uncertain and unpredictable. People move through different careers, face unexpected moments and navigate important choices. We offer our colleagues flexibility, trust and benefits that work for whatever life brings. In return we expect curiosity, connection, accountability and high standards.We make room for what matters - so you can bring your best, every day.

The role

The data scientist is responsible for developing advanced analytics, machine learning & AI solutions to solve business problems in a customer obsessed environment.At Standard Life, we realised that to deliver our growth ambition that this needs to be underpinned by a culture of learning, adapting and experimentation.We see these as core elements that underpin Data Science.

In this role, you will play a pivotal role in design, develop, and deploy data science solutions for a variety of problems.We are building to establish best and modern data science practices in our data science team to ensure we innovate at scale and speed.

Key Responsibilities:

• Act as data domain subject matter expert to ensure specialist input is provided and influences business decision making.
• Build, develop and deploy data science solutions and is compliant with internal team best practices and procedures. Help to establish best practices, understanding and compliance
• Communicate effectively with business stakeholders, shape the narrative, providing clarity and comprehension of the solution
• Deliver appropriate data science solutions to stakeholders and work with stakeholders to establish with next stepsli>
• Ensure compliance with relevant procedures and processes and maintain evidence/audit trail as required.
• Source and determine data availability e.g. internal, external, novel data sources
• Work with business units to gather requirements, propose and experiment with data science methodologies to solve the problem
• Wrangle, manipulate and clean data from multiple data sources

What we're looking for:

Essential

• Has the natural curiosity for data as well as the passion to research and resolve real life problem with data and modern technologies.
• Ability to work collaboratively and communicate effectively.
• Sound knowledge and experience of developing and deploying statistical and machine learning models (supervised and unsupervised)
• Essential – Python Expertise, SQL, Big Data (Spark), BI tool (e.g. Tableau, PowerBI)
• Modern software development experience and toolkit e.g. Git, code reviews, Feature Stores, CI/CD

Desirable

• Design of experiments e.g. A/B/N, multi-variate, sample size calculation, (part/fractional) factorial designs
• Database, data warehouse or data lake experience to build SQL packages, processes, queries and tune data model for performance
• Cloud architecture e.g. AWS, MS Azure

We want to hire the whole version of you.

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we’ve advertised and you believe that you can bring value to the role, we’d love to hear from you.

If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.

Find out more about working at Standard Life #LI-GJ1

• Guide for Candidates: standardlifeplc.pagetiger.com/guideforcandidates
• Find or get answers from our colleagues: www.standardlifeplc.com/careers/talk-to-us