About Client: The client is a global consulting, technology, and digital firm specializing in the financial services industry. Established in 2001, the company provides innovative solutions to help clients navigate digital transformation, enhance operational efficiency, and achieve strategic objectives. With a focus on banking, capital markets, and insurance, it leverages cutting-edge technologies such as blockchain, artificial intelligence, and data science to deliver customized IT solutions and business consulting services. The company's commitment to innovation, combined with its industry expertise, positions it as a leader in driving technological advancements and helping financial institutions stay competitive in a rapidly evolving market. Salary Range: $100K-$110K/Annum Job Description:
- We are looking for a skilled and motivated Data Scientist to join our dynamic team.
- The ideal candidate will have experience working with large data sets, utilizing statistical techniques, and developing machine learning models to drive business decisions.
- You will work closely with cross-functional teams to uncover insights, automate processes, and develop predictive models that contribute to the success of the business.
Key Responsibilities:
- Data Analysis: Analyze and interpret complex datasets to uncover trends, patterns, and insights that inform business decisions.
- Model Development: Build, test, and deploy machine learning models to solve business problems. Implement both supervised and unsupervised learning techniques.
- Data Visualization: Create visualizations that clearly communicate findings and insights to both technical and non-technical stakeholders.
- Collaboration: Work closely with other teams (engineering, product, marketing, etc.) to define and prioritize data-driven solutions.
- Automation: Design and implement automated data pipelines to streamline data collection and processing.
- Reporting: Provide actionable insights and make recommendations based on data analysis.
- Research: Stay up-to-date with the latest trends, techniques, and tools in data science and machine learning.
Requirements:
- Education: Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field.
Experience:
- 2+ years of experience in data science or a related field (may vary by company).
- Proven experience in developing machine learning models.
- Strong programming skills in languages such as Python, R, or Scala.
- Experience with data visualization tools such as Tableau, Power BI, or similar tools.
- Experience with big data technologies (e.g., Hadoop, Spark) is a plus.
Skills:
- Proficiency in data manipulation and analysis using tools like Pandas, NumPy, or similar.
- Knowledge of statistical analysis and machine learning algorithms.
- Strong problem-solving skills and the ability to work independently.
- Ability to explain complex technical concepts to non-technical stakeholders.
- Familiarity with cloud platforms (AWS, Google Cloud, Azure) is an advantage.
Soft Skills:
- Strong communication and presentation skills.
- Team player with the ability to collaborate with diverse teams.
- Analytical mindset with attention to detail.
About ApTask: ApTask is a leading global provider of workforce solutions and talent acquisition services, dedicated to shaping the future of work. As an African American-owned and Veteran-certified company, ApTask offers a comprehensive suite of services, including staffing and recruitment solutions, managed services, IT consulting, and project management. With a focus on excellence, collaboration, and innovation, ApTask provides unparalleled opportunities for professional growth and development. As a member of the ApTask team, you will have the chance to connect businesses with top-tier professionals, optimize workforce performance, and drive success across diverse industries. Join us at ApTask and be part of our mission to empower organizations to thrive while fostering a diverse and inclusive work environment. Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview. Candidate Data Collection Disclaimer: At ApTask, we prioritize safeguarding your privacy. As part of our recruitment process, certain Personally Identifiable Information (PII) may be requested by our clients for verification and application purposes. Rest assured, we strictly adhere to confidentiality standards and comply with all relevant data protection laws. Please note that we only collect the necessary information as specified by each client and do not request sensitive details during the initial stages of recruitment. If you have any concerns or queries about your personal information, please feel free to contact our compliance team at ...@aptask.com . Applicant Consent: By submitting your application, you agree to ApTask's (www.aptask.com) Terms of Use and Privacy Policy , and provide your consent to receive SMS and voice call communications regarding employment opportunities that match your resume and qualifications. You understand that your personal information will be used solely for recruitment purposes and that you can withdraw your consent at any time by contacting us at 732-###-#### or ...@aptask.com. Message frequency may vary. Msg & data rates may apply.