Data Scientist (Pipeline) — Insight & Impact Strategist

ATS Client; Cape Town; On-site; ZAR 900,000 - 1,200,000; Full time

Benefits offered by this job

Competitive salary

Medical aid

Provident fund

Annual incentive

Global networks

Community volunteering

Additional leave

International exposure

Career development

Job summary

Capita in Cape Town, South Africa is seeking a Data Scientist (Pipeline) to provide high level strategic and tactical insight, identifying opportunities and driving improvement initiatives. You will consult with Capita’s clients on complex projects and support internal operations with actionable recommendations.

The role requires strong analytics, predictive modelling, and data manipulation skills, with collaboration across BI and insight teams to deliver value to clients and the business.

Qualifications

• 2 years' experience applying data science to qualitative data, preferably in a contact centre.
• Strong knowledge of insight, MI, data analytics and statistical theory and methods.
• Experience with statistical techniques such as correlation, regression, cluster analysis, standard deviation.
• Proficient in MI/BI and contact centre software – Business Objects, Power BI, Aspect WFM, Avaya.
• Knowledge of programming tools – Power BI, Azure, Fabric, Snowflake, Python, SQL, R.
• Excellent Excel skills, including VBA, lookup functions and PivotTables.
• Strong presentation and communication skills to convey results to business users.
• Experience collating, reporting and presenting data and information.
• Data manipulation skills beyond Excel – joining, aggregating, transforming data with SQL.
• Experience with customer satisfaction and loyalty methodologies.
• Analytical thinking and evidence‑based decision making.
• Experience with statistical software to deliver analyses and insight.
• Experience with speech and text analytic applications.
• Aptitude for efficient and accurate work and independent initiative.
• Understanding of financial and commercial factors.

Responsibilities

• Deliver innovative and industry leading insight with improvement recommendations for Capita and client.
• Conduct insight reviews through advanced analytics using internal and external data sources.
• Use sophisticated predictive modelling to understand changes needed to realise improvement.
• Consider impacts from operational and client change requests when assessing benefit realisation.
• Ensure commercial awareness so recommendations support the business plan.
• Lead the insight direction to align with operational strategy.
• Provide expert view on customer satisfaction and loyalty methodologies (e.g., NPS).
• Work with BI teams to pull disparate data sets and streamline processes.
• Support delivery of improvements across client portfolio with root‑cause analysis.
• Articulate options and recommendations to stakeholders, highlighting benefits and challenges.
• Keep up to date with industry thinking and emerging technologies.
• Understand planning models to ensure benefit realisation.
• Assist senior management with MI and insight for decisions and budgets.
• Lead projects by analysing data and converting it into intelligent insight.
• Collaborate with CI and other insight teams, liaising with stakeholders and support teams.
• Provide input for change controls in a timely fashion.
• Ensure contracted obligations are met.
• Act as a mentor to analysts where a manager role is absent.

Skills

Data analysis

Statistical modelling

Presentation skills

Client communication

Independent work

Financial awareness

Tools

Power BI

Azure

Fabric

Snowflake

Python

SQL

R

Excel

VBA

PowerPoint

Job description

Capita in Cape Town, South Africa is seeking a Data Scientist (Pipeline) to provide high level strategic and tactical insight, identifying opportunities and driving improvement initiatives. You will consult with Capita’s clients on complex projects and support internal operations with actionable recommendations.

The role requires strong analytics, predictive modelling, and data manipulation skills, with collaboration across BI and insight teams to deliver value to clients and the business.