Senior Data Scientist

Royal Mail Group; London; Hybrid; GBP 60,000 - 100,000; Full time

Job summary

Join a forward-thinking company as a Senior Data Scientist, where your expertise in Salesforce Einstein and predictive modeling will drive business growth through innovative AI solutions. You'll work collaboratively with various teams to optimize predictive insights and enhance customer experiences. Enjoy a competitive salary, generous benefits, and the opportunity to make a real impact in a dynamic environment. This role offers a blend of office and remote work, providing flexibility while contributing to a company that values trust and inclusion.

Benefits

Car allowance

Family Healthcare

Generous annual leave

Company pension scheme

Sick pay

Discounts and offers

Wellbeing services

Qualifications

• Experience in data science and CRM analytics.
• Hands-on experience with AI-powered insights.

Responsibilities

• Maintain and optimize predictive AI models for sales and service.
• Collaborate with teams to translate data insights into business recommendations.

Skills

Salesforce Einstein

Predictive Modeling

Data Manipulation

AI/ML Applications

Analytical Skills

Education

Degree in Data Science or related field

Tools

Salesforce Data Cloud

SQL

Job description

Job reference 324784
Senior Data Scientist
Competitive salary, £4,200 Car allowance, Family Healthcare, 18% annual bonus potential with 27.5 days annual leave, plus bank holidays rising with serve and a company pension scheme with highly competitive contribution rates
Permanent, Full time
Royal Mail Farringdon, up to 3 days per week in office with some travel across RM sites required

Do you want to be part of a team that creates and deploys innovative product solutions and leading-edge platforms across a business with a turnover of £12.7 billion? We are at the heart of Royal Mail's future. Everything we do is aimed at providing our customers with the UK's best delivery experience and growing our market share through the continuous development of new product features and customer driven propositions.

About the role

As a Senior Data Scientist you will be responsible for maintaining and optimising predictive AI models for Sales and Service Cloud. You will:

Develop, train, and maintain predictive AI models within Salesforce for churn prediction and cross/up-selling recommendations
Monitor performance and collaborate with sales/service teams to adjust/fine tune algorithms to optimise predictive insights.
Translate complex data insights into clear, actionable business recommendations to support decision making.
Collaborate with Data Governance team and data engineers to ensure data used for predictive AI is clean, reliable, and aligned with governance policies.
Engage with Sales, Customer Experience, Marketing, and Pricing teams to identify use cases for predictive analytics.
Work closely with CRM product owners and the Data Governance team to ensure models meet operational needs.

About you

The ideal candidate for this role will have experience in Salesforce Einstein, data science, and CRM analytics with proven experience of helping drive business growth and customer retention through AI-powered insights. You should also have:

Hands-on experience in data science, predictive modelling, or AI/ML applications within Salesforce.
Proven proficiency in data manipulation, cleansing, and feature engineering within Salesforce Data Cloud and related platforms.
Experience in working with stakeholders across Sales, Service, and IT teams.
Familiarity with Salesforce objects, flows, SQL, and data integration best practices.
Strong analytical skills and ability to interpret complex data into actionable/clear and non-technical insights
Excellent communication and documentation skills.

Extra Benefits

Family friendly support - enhanced maternity pay, paternity leave, adoption leave and shared parental leave
Discounts and offers - there are more than 800 offers to help you save on things like groceries, days out, holidays and your household bills*.
Supportive and generous company sick pay
Your Wellbeing -you and your family have 24/7 access to services and tools to help you get the most out of life. From your physical and mental health to financial and social support and advice. It's free, and it's for everyone.
*Available only to perm employees

Next Steps

The next stage of the selection process will be a face to face interview in Farringdon consisting of competency based and role specific questions.

Trust forms the foundation of everything we do in Royal Mail. We want to be transparent about what kind of qualities we are looking for and build trust from the very beginning of your journey with us. The first step is your interview, and we mean your' interview. We want to give you the opportunity to shine. To enable you to do this, we will provide you with your interview questions ahead of the interview taking place. This will allow you time to prepare, and ensure you have your best examples in mind. Royal Mail Group values both trust, and our people.

We don't expect every candidate to meet the full criteria for the role. If your experience looks a little different from the job requirements, but you feel you have the relevant skills to bring value to the role, we'd love to learn more about you.

Royal Mail are proud of our diverse employee network groups and the active role they play to support belonging and encourage a positive work environment. We are firmly committed to inclusion and passionate about our people representing the communities we serve.

We are happy to support your need for any adjustments during the application and hiring process. Please share the details within your application if required.

We are Forces family friendly and a Gold signatory to the Armed Forces Covenant. We welcome applications from ex-Armed Forces personnel, reservists, veterans, cadet instructors and military spouses/partners.

For more information on Royal Mail Group and our values please click here: https://www.internationaldistributionsservices.com/en/about-us/

Closing Date: 18th May. Please note, this advert may close early if the appropriate number of applications has been reached.

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