Job Title: Decision Scientist
Company:Network Recruitment
Job description: Job Summary
Are you a driven Data Scientist with expertise in machine learning and experience in the Banking, Telecommunications, or Insurance sectors? Eager to apply your model-building skills to fuel innovation? Join the team and make an impact!Key skills: Machine Learning, K-Means, Linear Regression, Logistic Regression, Decision Trees, and NLP.Key Responsibilities:
- Develop, implement, and optimize machine learning models to tackle complex business challenges.
- Analyze large datasets to deliver actionable insights for data-driven decision-making.
- Collaborate with cross-functional teams to align business objectives with data strategies.
- Present findings and model results to executives and stakeholders in an impactful way.
- Continuously improve models to meet evolving data and business needs.
- Stay updated with the latest data science and machine learning advancements.
Qualifications:
- BSc in Mathematics, Statistics, or Actuarial Science (Honours/Masters preferred).
- 3-5 years of experience as a Data Scientist, especially within Banking, Telecommunications, or Insurance.
- Proven expertise in machine learning, model-building, and data analysis.
- Proficiency in Python, R, SQL, or similar statistical programming languages.
- Strong problem-solving skills, with the ability to turn data into actionable insights.
- Excellent communication skills to present complex data to non-technical stakeholders.
Apply now!For more Actuarial and Analytics jobs, please visitIf you have not had any response in two weeks, please consider the vacancy application unsuccessful. Your profile will be kept on our database for any other suitable roles / positions.For more information contact:
Adon Abrahams
Senior Specialist Consultant: Actuarial & AnalyticsNetwork FinanceRecruiter
Expected salary: R600000 – 650000 per year
Location: Johannesburg, Gauteng
Job date: Fri, 13 Dec 2024 00:57:11 GMT
Professional CV Tips for Success – jobsguru.co.za
- Contact Information: Use a professional email address and include a phone number. LinkedIn or a personal website can also add value.
- Personal Statement: In 2-3 lines, summarize your strengths and career goals, tailored to the job you’re applying for.
- Work Experience: List roles in reverse-chronological order. Focus on achievements with measurable results, e.g., “Increased sales by 20%.”
- Education: Only list qualifications relevant to the job or recent achievements if early in your career.
- Skills: Include both technical and soft skills. Use keywords from the job description to improve ATS compatibility.
- Formatting: Stick to one or two clean fonts, consistent margins, and ample white space. Avoid graphics unless you’re in a creative field.
- Proofreading: Errors harm your credibility. Review carefully or ask someone else to check for mistakes.
For more guidance, visit jobsguru.co.za.
