Data Scientist

RMB; India; On-site; INR 800,000 - 1,100,000; Full time

Benefits offered by this job

Flexible working environment

Coaches and mentors

Generous leave policy

Preferential employee banking rates

Job summary

RMB in India is seeking a Data Scientist to build, optimise and implement quantitative analytical methodologies and models that support business opportunities and strategy under guidance. The role focuses on customer engagement, segmentation and data feature engineering within FirstRand's FR Life Assurance ecosystem.

You will work with big data, translate business requirements into actionable analytics, and code in SQL and SAS, with Python/R beneficial.

Qualifications

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science or related degree
• Preferred Qualification: Honours Degree
• Experience: 1 - 2 years’ experience within Data Analytics or Customer Analytics
• Experience in Model development, maintenance and optimisation of existing models will be advantageous
• Intermediate level of proficiency to code in SQL is required
• Intermediate level of proficiency to code in SAS will be advantageous
• Intermediate skills in Python or R would be beneficial

Responsibilities

• Good understanding of Data Analytics in a large financial services organisation.
• Understand both the technical points of Data Management and Analytics, as well as the business drivers and needs.
• Understands how to work with big data and transform data to be suited for modelling or other analytical insights.
• Strong technical and coding proficiency (SAS & SQL).
• Hard working individual that can work well under pressure.
• Able to translate business requirements into tangible, creative solutions with guidance.
• A team player, you believe in the power of teams, building and leveraging your networks.
• Emotionally intelligent, you are able to connect with people to build trust.

Skills

SQL

SAS

Python

R

Education

B Degree in Mathematical Sciences

Honours Degree

Tools

SQL

SAS

Job description

Job Description To build, optimise and implement innovative quantitative analytical methodologies, procedures, and advanced mathematical models that provide analytical support and interpret insights, to address business opportunities and problems and implement business strategy, under guidance against predicted results and deliver according to set processes and procedures. Hello, future Data Scientist I Welcome to FNB, the home of the#Changeables. We design for the shapeshifters and deliver products and services that make us incredibly proud of the people that make it happen. This role is within the FR Life Assurance. The purpose is to deliver analytical insights that supports the business at large. Some of the core team deliverables refer to Customer Engagements, Customer Segmentation and Data Feature Engineering. This is achieved through robust data modelling and analysis as well as statistical modelling.

Key responsibilities

• Good understanding of Data Analytics in a large financial services organisation.
• Understand both the technical points of Data Management and Analytics, as well as the business drivers and needs.
• Understands how to work with big data and transform data to be suited for modelling or other analytical insights.
• Strong technical and coding proficiency (SAS & SQL).
• Hard working individual that can work well under pressure.
• Able to translate business requirements into tangible, creative solutions with guidance.
• A team player, you believe in the power of teams, building and leveraging your networks.
• Emotionally intelligent, you are able to connect with people to build trust.

As a #Changeable, you will have access to

• Opportunities to network and collaborate.
• Opportunities to innovate.
• Flexible working environment
• Focus on health and wellbeing.
• Coaches and mentors to help with your professional development.
• A generous leave policy to cater for your individual needs.
• Preferential employee banking rates that include Vehicle and Home loans.

Qualification and Experience

• Minimum Qualification: B Degree in Mathematical Sciences, Statistics, Actuarial Science or related degree
• Preferred Qualification: Honours Degree
• Experience: 1 - 2 years’ experience within Data Analytics or Customer Analytics
• Experience in Model development, maintenance and optimisation of existing models will be advantageous.
• Intermediate level of proficiency to code in SQL is required
• Intermediate level of proficiency to code in SAS will be advantageous
• Intermediate skills in Python or R would be beneficial

Important Closing Date Note: Take note that applications will not be accepted on the below date and onwards, kindly submit applications ahead of the closing date indicated below. 11/09/26 All appointments will be made in line with FirstRand Group’s Employment Equity plan.

The Bank supports the recruitment and advancement of individuals with disabilities. In order for us to fulfill this purpose, candidates can disclose their disability information on a voluntary basis. The Bank will keep this information confidential unless we are required by law to disclose this information to other parties.

FirstRand provides a comprehensive range of financial services in South Africa and certain markets in broader Africa. The group also offers certain niche products and services in the UK and India. Listed on the Johannesburg Stock Exchange (JSE) and the Namibian Stock Exchange (NSX), FirstRand Limited is the largest financial institution by market capitalisation in Africa. The group follows a multi-branding approach. Its portfolio of financial services businesses includes FNB, RMB, WesBank, Ashburton Investments, Aldermore, MotoNovo and DirectAxis. Many are leaders in their respective segments and markets, offering transactional, lending, investment and insurance products and services The FirstRand Corporate Centre houses many of the critical functions required by a large and complex financial services group. The group’s track record of delivering superior returns to shareholders has been achieved through a combination of organic growth, acquisitions, innovation and the creation of completely new businesses. The group’s purpose of delivering Shared Prosperity provides many opportunities for employees to innovate to address social and environmental challenges in our markets. All of our businesses have successful Volunteering programmes which also allow employees to adopt and support causes close to their hearts.