Senior Pension Data Consultant

JR United Kingdom
London
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Pension Data Consultant

Senior Pension Data Consultant

Senior Data Science Consultant - Credit Decisioning

Principal Data Science Consultant with Marketing Expertise

Data Scientist

Data Scientist

Are you an experienced Senior Pensions Professional looking for a dynamic, project-based role? Our client, an established Pension Consultancy, is seeking a

Senior Pensions Data Professional

to join their team. This role offers an exciting opportunity to lead key projects, work with complex data, and drive better outcomes for clients.

Make sure to apply quickly in order to maximise your chances of being considered for an interview Read the complete job description below.What You’ll Be DoingWork with Scheme Events Leads and Managers to deliver high-quality pension projects and scheme events.Review and oversee the work of Pensions Data analysts, providing feedback and technical support.Ensure the accuracy and quality of scheme events and projects, in line with client requirements and service level agreements.Build and maintain strong relationships with clients and internal teams.Continuously improve processes, enhance service delivery, and reduce business risks.Key ResponsibilitiesLead assigned projects and scheme events.Provide a first-class experience for customers, sharing expertise with team members.Perform and manage pension data processes, including:Running and specifying data extracts and bespoke reports.Transforming and uploading data to administration systems.Building mail merge letters and bulk calculations in Excel.What You Will Need:Experience working with

DB pension schemes .Strong

technical pensions calculations and bulk data analysis

skills.Familiarity with

pension administration and work management systems .High attention to detail and quality management.Proficiency in

Excel , including pivot tables, filters, lookups, nested IF statements, and data validation.Project management skills

to deliver schemes efficiently.Career Development

– A clear succession plan to help you advance.Work-Life Balance

– Remote/flexible working options.

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Careers

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Careers

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Careers

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.