Client Collaboration : Engage with clients to understand their business objectives, data needs, and challenges. Provide expert guidance on data-driven decision-making and strategy development.
Data Analysis : Collect, clean, and analyze structured and unstructured data from various sources. Perform exploratory data analysis (EDA) to identify patterns, trends, and insights.
Model Development : Develop and deploy machine learning models, statistical models, and algorithms to solve business problems. Use tools such as Python, R, SQL, and machine learning libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
Data Visualization Reporting : Create clear, actionable visualizations and dashboards using tools like Tableau, Power BI, or matplotlib to communicate findings to both technical and non-technical stakeholders.
Problem Solving : Provide innovative solutions to complex business challenges through data-driven methodologies. Continuously assess and improve models and analytics processes to optimize performance.
Consulting Training : Lead workshops and training sessions to educate clients on data science techniques and tools. Offer advice on data strategy, infrastructure, and best practices.
Project Management : Lead and manage multiple client projects, ensuring timely delivery of high-quality solutions. Collaborate with other team members, such as data engineers and business analysts, to meet project goals.
Research Development : Stay up-to-date with the latest trends, tools, and technologies in data science and machine learning. Contribute to the development of new methods and solutions that can be applied to future projects.
As a Data Science Consultant , you will work closely with clients to understand their business challenges, analyze data, and develop data-driven strategies and models that solve complex problems. You will apply advanced analytical techniques, such as machine learning, statistical modelling, and data visualization, to extract valuable insights from large datasets. Your ability to translate data into actionable recommendations will directly contribute to business growth and operational efficiency.
Qualifications :
Education : A bachelor s or master s degree in computer science, Data Science, Statistics, Mathematics, Engineering, or a related field.
Experience :
Minimum of 3 years of experience in data science, analytics, or a related field.
Proven experience in consulting or client-facing roles is highly desirable.
Strong portfolio of completed data science projects, preferably with measurable business impact.
Technical Skills :
Proficiency in programming languages such as Python
Solid understanding of machine learning algorithms and techniques
Experience with data manipulation and analysis using SQL
Experience with data visualization tools like Tableau or Power BI
Soft Skills :
Excellent communication and presentation skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Strong problem-solving abilities and analytical thinking.
Client-focused with the ability to build strong relationships and deliver high-quality service.
Ability to work independently as well as in a collaborative, team-oriented environment.