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2 102

Human Resouces jobs in South Africa

Manager, Data Science (L09)

Synchrony

Burgersfort
Remote
ZAR 300,000 - 400,000
10 days ago
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Registered Nurse | Theatre Qualified | CSSD Supervisor

LIFE Healthcare Group

Cape Town
On-site
ZAR 360,000 - 480,000
10 days ago

HEAD OF UNIT - ANAESTHESIA

Department of Health

Johannesburg
On-site
ZAR 2,085,000
10 days ago

Registered Nurse | Neonatal Qualified | PICU

LIFE Healthcare Group

East London
On-site
ZAR 200,000 - 300,000
10 days ago

Team Manager: SRE - JG08(JHB)

Sanlam

Johannesburg
On-site
ZAR 400,000 - 500,000
10 days ago
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Team Manager: Insurance Contact Centre Leader

Sanlam

Johannesburg
On-site
ZAR 400,000 - 500,000
10 days ago

Enrolled Nurse | Specialist

LIFE Healthcare Group

South Africa
On-site
ZAR 25,000 - 35,000
10 days ago

IT Infrastructure and Network Engineer (DBN Hybrid) (26529)

Datafin IT Recruitment

Durban
On-site
ZAR 900,000 - 1,200,000
10 days ago
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Head Of Quality – Global One Unilever Durban, Südafrika

Unilever Deutschland Holding Gmbh

Durban
On-site
ZAR 1,200,000 - 1,600,000
10 days ago

Registered Nurse | Trauma Qualified

LIFE Healthcare Group

Gauteng
On-site
ZAR 200,000 - 300,000
10 days ago

Vp, Ombuds And Ethics (L12)

Synchrony

Gauteng
Remote
ZAR 400,000 - 500,000
10 days ago

Payroll Specialist (Maternity Cover) for 5-Star Hotels

The Royal Portfolio

Cape Town
On-site
ZAR 300,000 - 400,000
10 days ago

Assistant Director, HR Management — Strategic People Leader

Department of Health

Johannesburg
On-site
ZAR 300,000 - 400,000
10 days ago

Housekeeping Manager/Duty Manager-Protea Hotel Kimberley

Marriott Hotels Resorts

South Africa
On-site
ZAR 150,000 - 200,000
10 days ago

Payroll Officer

The Royal Portfolio

Cape Town
On-site
ZAR 300,000 - 400,000
10 days ago

Healthcare Operations Consultant (Permanent) Sandton 5WW76RV5

MyCareerCraft

Sandton
On-site
ZAR 200,000 - 300,000
10 days ago

Vehicle Sales Manager, East London

University of Fort Hare

East London
On-site
ZAR 200,000 - 300,000
10 days ago

Dynamics 365 CE Senior Technical Architect (Big 4/Relocate to Malta)

Black Pen Recruitment

Johannesburg
Hybrid
ZAR 300,000 - 400,000
10 days ago

Sales And Business Development Manager

H.B. Fuller

Johannesburg
On-site
ZAR 200,000 - 300,000
10 days ago

Financial Director

Lona Citrus

Durban
On-site
ZAR 1,000,000 - 1,500,000
10 days ago

Learning and Development Business Partner : Technical

Pro Personnel

Brits
On-site
ZAR 500,000 - 700,000
10 days ago

Mining L&D Partner: Technical Training & Compliance

Pro Personnel

Brits
On-site
ZAR 500,000 - 700,000
10 days ago

Operations Underwriting -Support Manager -JG7 (JHB/CPT)

Sanlam

Johannesburg
On-site
ZAR 500,000 - 800,000
10 days ago

Account Manager - HHPC

SOLEVO Group

Johannesburg
On-site
ZAR 600,000 - 800,000
10 days ago

Human Resources Manager (Job Number : Hot0C5Ka)

Hilton

Durban
On-site
ZAR 200,000 - 300,000
10 days ago

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Manager, Data Science (L09)
Synchrony
Remote
ZAR 300 000 - 400 000
Full time
10 days ago

Job summary

A leading financial services company in Burgersfort seeks a Manager for Data Science. This role involves analyzing datasets for fraud and credit insights, supporting analytics platform development and employing machine learning techniques. Candidates should have a Bachelor's degree in a quantitative field and strong programming skills. The position offers flexibility in work hours, including remote options, allowing collaboration with teams across different locations.

Benefits

Flexibility and choice in work hours
Best-in-class employee benefits

Qualifications

  • 2+ years of hands-on Analytics experience required.
  • Prior experience in building predictive models necessary.
  • Strong programming skills in SQL, SAS, or Python.

Responsibilities

  • Analyze datasets for fraud and credit opportunities.
  • Support development of the Analytics Platform.
  • Deliver engagements in model development and validation.

Skills

Statistical analysis
Machine Learning techniques
Data Programming (SQL, SAS, Python)
Communication skills

Education

Bachelor's degree in Statistics, Economics, Mathematics or a quantitative field

Tools

SAS
Python
Pyspark
H2O
AWS SageMaker
Job description

Job Description:

Role Title: Manager, Data Science (L09)
Company Overview:

Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry’s most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.

  • We have recently been ranked #2 among India’s Best Companies to Work for by Great Place to Work. We were among the Top 50 India’s Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.

  • We offer Flexibility and Choice for all employees and provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.

  • We provide career advancement and upskilling opportunities, focusing on Advancing Diverse Talent to take up leadership roles.

Organizational Overview:

Credit Team decisions credit actions across the lifecycle of a customer – from acquisition to account management to collections and recover – we work towards managing credit and fraud losses and elevating customer experience through powerful and proprietary insights on customer risk and credit behaviors. The actionable insights are driven by access to numerous alternative data sources, new age technologies, focused strategies, emerging algorithms, and predictive precision. Spread across 10 pillars the credit team in India caters to the entire gamut of decision sciences, from data management to model development to strategy design, and bringing it all to life through technology, and managing within the guardrails of our regulatory requirements. As part of the team, you will have access to some unique product propositions, functional and leadership training, interaction with executive leadership team and a myriad of diverse perspectives.

Role Summary/Purpose :

Manager – Data science role is a part Credit . Our team comprises of data analysts who focus on improving best fraud/account management/credit/ collection process experience etc. and growth by providing full stack descriptive to prescriptive analytics via cutting edge technologies to support business objectives.

The candidate would be part of the Credit -Model Development team providing valuable expertise in application/solution development for analytics use cases enabling Synchrony’s growth and profitability. The candidate must be passionate about data products, analytics solutions and applications, keen on learning new technologies. The role will require working/coordinating with the project manager/stakeholders. This position is remote, where you have the option to work from home

Key Responsibilities:
  • Analyze and explore datasets to find opportunities for fraud / credit/ Marketing models through data analytics.

  • Support the development of the Analytics Platform initiative

  • Solve business problem with Statistical, Machine Learning technics.

  • Responsible for delivery of various engagements of model development, documentation, validation, testing, monitoring and other organization wide initiatives.

  • Support the model risk management process including model validation, response to independent review questions and assisting in the development of action plans to address model governance/validation findings.

Required Skills/Knowledge:
  • Bachelor degree in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience.

  • Prior hands-on experience in building predictive models (using techniques like logistic, linear regression, decision tree, clustering, Random Forest, XG Boost, Text Mining – Topic Modeling, Sentiment Analysis etc.)

  • Strong Programming skills (SQL, SAS/ Python)

  • Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional teams in a simple yet compelling manner.

Desired Skills/Knowledge:
  • Exposure to big data programming - Pyspark etc.

  • Exposure to predictive tools like H2O, SAS Viya, AWS SageMaker, Bedrock, Alteryx etc.

  • Experience in handling large data, creating reports and giving business insights

Eligibility Criteria :

Bachelor degree in Statistics, Economics, Mathematics, or another quantitative field with 2+ years of hands-on Analytics experience (Distance learning not valid) or in lieu of a degree with 4+ years of experience.

Work Timings:

This role qualifies for Enhanced Flexibility and Choice offered in Synchrony India and will require the incumbent to be available between 06:00 AM Eastern Time – 11:30 AM Eastern Time (timings are anchored to US Eastern hours and will adjust twice a year locally). This window is for meetings with India and US teams. The remaining hours will be flexible for the employee to choose. Exceptions may apply periodically due to business needs. Please discuss this with the hiring manager for more details.

For Internal Applicants:
  • Understand the criteria or mandatory skills required for the role, before applying

  • Inform your manager and HRM before applying for any role on Workday.

  • Ensure that your professional profile is updated (fields such as education, prior experience, other skills) and it is mandatory to upload your updated resume (Word or PDF format)

  • Must not be any corrective action plan (First Formal/Final Formal, LPP)

  • L4 to L7 Employees who have completed 12 months in the organization and 12 months in their current role and level are only eligible.

  • L8+ Employees who have completed 18 months in the organization and 12 months in their current role and level are only eligible.

  • L04+ Employees can apply.

Grade/Level: 09

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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