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Robert

4.9

236

7.4

97%

HOPE VALLEY, Australia

$30 USD per hour

My name is Kirui from Australia, and I have been working as a professional writer in the academic field for over 15 years. Covering academic writing, editing and research, my services are backed by my strong analytical skills and MAB background. Whether you are a student, researcher or academic professional, I provide a trusted, discreet solution for your writing needs. With content built around quality research, accuracy and developed with a logical flow, I cover both qualitative and quantitative research needs as required. With quality reference sources, clearly structured methodologies and coherent arguments, whatever the subject, I create effective, efficient content for your needs. Conversant in SPSS and R, critical analysis and theory-based research, whatever the challenge, I can handle it. I cover projects at every level, including undergraduate, postgraduate, MBA and PhD level requirements, creating coursework, dissertations, theses, journal articles or any other kind of content you may require. I can create an entire document from idea to final draft or provide research or editing support for your own work, whatever fits your needs. Services I offer: • 🎓 Academic writing and rewriting • 🎓 Dissertation and thesis creation and support • 🎓 Editing and proofreading (clarity, structure, language) • 🎓 Referencing and citation formatting • 🎓 Research assistance and literature reviews • 🎓 Statistical analysis using SPSS and R • 🎓 Professional reports & presentations I will help you create strong arguments, build persuasive narratives and enhance clarity within your research, while ensuring your voice is central to the document. A service that delivers to your deadlines, I provide an academic solution you can trust when timing is everything. I collaborate with global clients across multiple industries, supporting a wide range of projects with expert-level precision. My other core services are: ✒️ Article and Content Writing ✍️ Copywriting and SEO Optimization 🖊️ Resume, CV, cover letter & LinkedIn writing ✏️ Ghostwriting, editing & proofreading I help clients communicate complex ideas clearly and credibly to decision-makers and reviewers. If you need a dependable professional to handle your project end-to-end, let’s talk

Data Science Visual Basic Graphic Design Copywriting Project Management

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Satish

5.0

6.5

96%

South Plympton, Australia

$30 USD per hour

I am a seasoned IT professional with over 20 years of hands-on experience in the software development industry. My expertise spans a wide range of technologies, and I have demonstrated proficiency in the LAMP (Linux, Apache, MySQL, PHP/Python/Perl) stack, alongside a robust understanding of React based stack. Throughout my career, I have been dedicated to delivering high-quality solutions, leveraging my extensive knowledge of backend and frontend technologies. My proficiency in the LAMP stack has allowed me to architect, develop, and maintain scalable web applications with a focus on performance and reliability. In addition to my backend expertise, I have honed my skills in React Native—a framework for building cross-platform mobile applications. My experience in this domain includes developing and optimizing mobile applications for both iOS and Android platforms, ensuring a seamless and responsive user experience. My career journey has equipped me with a deep understanding of the software development lifecycle, from concept to deployment. I am adept at collaborating with cross-functional teams, translating business requirements into technical solutions, and ensuring that projects align with industry best practices. With a passion for staying abreast of emerging technologies and a commitment to continuous learning, I am well-equipped to navigate the ever-evolving landscape of IT. I bring a strategic mindset, problem-solving acumen, and a proven track record of successfully delivering complex projects on time and within budget. As a proactive and adaptable professional, I am eager to contribute my wealth of experience to drive innovation, solve challenges, and deliver exceptional software solutions in both the LAMP stack and React Native environments.

Data Science Script Install Data Processing Joomla Android

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Sahanaj

4.9

6.7

100%

Sydney, Australia

$50 USD per hour

We are a small team concentrating in Digital Solutions on Microsoft Dynamics 365, Salesforce CRM and SAP. We provide industry specific solutions for Manufacturing, Retail, Travel, Finance and logistic . Our Expertise in Microsoft Dynamics 365, Salesforce and SAP Financial Management Sales and Service Management Retail Management Reports and Analytics Operations Management Supply Chain Management Implementation Services –We are highly experienced in Solution Design, business requirement analysis, gap-fit analysis, functional design, prototype development and testing, user training, user acceptance testing, migration and go-live support. Support Services – We offer ongoing support service to ensure smooth running of the system. Our support service covers across all version of Microsoft Dynamics 365. Upgrade Services – We help customers who are using older versions of Microsoft Dynamics NAV and AX upgrade to the latest version of D365 FinOps and Business Central.

Data Science ASP Java Python .NET

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Phantom Interactive

5.0

5.5

92%

Sydney, Australia

$75 USD per hour

Phantom Interactive provides DevOps and AWS assistance flow utilizing industry proven tools to customers who needs to automate and scale their services. We can assist with release management, infrastructure management, build and deploy pipelines, containerization and orchestration. From managing a development to designing and building infrastructure and CICD pipelines, we can make the difference in a successful project or not. Core skills and capability in our arsenal: - AWS infrastructure and services - CICD automation - Agile coaching, DevOps practices - Containerized workloads, EKS, ECS, native K8s and Docker workload - Blockchain and Crypto expertise, automated trading and analysis - AI implementations, ChatGPT modelling

Data Science PHP JavaScript Python Website Design

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Bhagwat

4.9

4.7

92%

Parramatta, Australia

$50 USD per hour

Intuition SofTech Australia helps businesses by offering affordable solutions to create beautiful and easy to use mobile phone applications and responsive websites. Intuition SofTech Australia is founded with one simple objective; to develop quality, professional software business solutions at an affordable price without cutting back on value. Our goal is to help you succeed online. We have a highly experienced team of skilled individuals from different fields to ensure you get the best quality product at a reasonable price. Our team members have skills learned through experience, lots of practice, continual self-education, and working with different clients from different verticals. We have following capabilities: 1. Full Stack application development 2. Mobile app development 3. Hybrid app development 4. Custom CRM and ERP development 5. Salesforce consulting and development 6. Wordpress and other CMS website development 7. eCommerce website development 8. UX UI design, company branding, Figma and XD design 9. Digital transformation Reach out to us for a free quote: www.intuitionsoftech.com.au

Data Science .NET SEO Mobile App Development Excel

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Sophie

5.0

5.2

93%

Greensborough, Australia

$75 USD per hour

Professional published research scientist with expertise in statistics, technical writing, report writing, science communication and work-flow automation. I am an expert in statistical analysis and research science with over eleven years of experience in the field. I apply my scientific curiosity and robust analytical problem solving to each and every one of my endeavors whether that falls into the category of research, scientific training and support, writing and proof-reading or document generation and automation. My experience and technical acumen has equipped me with the knowledge to manage a broad range of stakeholders, streamline projects (inclusive of automation) and analyze complex data sets to derive meaningful conclusions. I'd be thrilled to assist you in reaching your research or work-flow goals so hit the HIRE ME button and allow me to take care of the rest!

Data Science Data Entry Research Proofreading Video Services

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Alice Ying

5.0

1.4

100%

Sydney, Australia

$40 USD per hour

I am a PhD graduate in Engineering and Data Scientist.

Data Science Translation Data Processing Data Entry Excel

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Rubin

5.0

4.3

100%

Doonside, Australia

$40 USD per hour

I'm an actuarial graduate with hands-on internship experience, specialising in financial modelling, data analytics, and risk analysis. My actuarial training means I don't just crunch numbers — I understand the probability, uncertainty, and business logic behind them, which is something most data analysts and accountants simply can't offer. I work across Excel, Python, and R to deliver high-quality, accurate work faster than traditional analysts. Whether you need a financial model built from scratch, a dataset turned into clear business insights, a risk assessment, or an automated reporting dashboard, I approach every project with precision and commercial awareness. I've worked in real-world environments through my internship experience and understand what clients actually need: clean outputs, sound assumptions, and analysis they can act on. What I can help you with: - Financial models, forecasts, and scenario/sensitivity analysis - Insurance pricing, reserving support, and risk modelling - Data cleaning, analysis, and visualisation - Automated reporting and dashboard builds - Statistical modelling and regression analysis - Business case development and decision-support tools I'm based in Australia, available for both short-term projects and ongoing engagements, and I take pride in clear communication and on-time delivery. If you need someone who combines rigorous quantitative training with practical business sense, let's talk.

Data Science Python Data Processing Data Entry Excel

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Niels

5.0

4.1

100%

Woodvale, Australia

$49 USD per hour

I am a passionate developer who is very flexible with working conditions. I have worked in all the areas of Software Development with a degree in computer science. In my professional career I have worked as Software Tester, Requirements Engineer, Software Engineer, Project Lead and as Lead of Software Development.

Data Science JavaScript Windows Desktop Delphi SQL

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Clients rate our Data Science Experts

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How to hire a great freelance Data Science Expert

A Data Science Expert is a specialist who applies statistics, machine learning, and programming to extract insights from data and build predictive models that drive business decisions. Hiring a freelance data science expert gives you on-demand access to advanced analytics talent without the overhead of a full-time hire, whether you need exploratory analysis, a production-ready model, or a complete data pipeline.

What does a freelance data science expert do?

Data science freelancers turn raw, messy data into measurable business outcomes. They combine programming, statistical modeling, and domain knowledge to answer questions that traditional reporting cannot. A skilled data scientist defines the problem, gathers and cleans the data, selects the right algorithms, validates results, and communicates findings to stakeholders.

Common engagements include building churn prediction models, customer segmentation, demand forecasting, recommendation systems, fraud detection, natural language processing pipelines, and computer vision applications. Many freelance data scientists also handle the full machine learning lifecycle, from data ingestion through model deployment and monitoring.

Core deliverables a data science freelancer produces

Exploratory data analysis (EDA) reports with visualizations and statistical summaries

Cleaned, transformed datasets and reproducible data pipelines

Supervised and unsupervised machine learning models for classification, regression, and clustering

Time series forecasting models for sales, inventory, or financial planning

Natural language processing solutions including sentiment analysis, topic modeling, and text classification

Computer vision models for image classification, object detection, and OCR

Recommendation engines for e-commerce, media, and content platforms

A/B testing design, analysis, and statistical significance reporting

Dashboards and interactive visualizations for executive reporting

Model deployment via REST APIs, containerized services, or cloud ML platforms

Technical documentation, model cards, and reproducible Jupyter notebooks

Tools, languages, and frameworks data scientists use

Strong data science experts are fluent in Python and R, the two dominant languages for analytical work. Python is especially common for production machine learning, while R is popular for statistical modeling and academic research. SQL is essential for querying relational databases.

Look for proficiency in widely used libraries and platforms:

Python libraries: pandas, NumPy, scikit-learn, SciPy, statsmodels, Matplotlib, Seaborn, Plotly

Deep learning frameworks: TensorFlow, Keras, PyTorch

Big data tools: Apache Spark, PySpark, Hadoop, Dask

NLP libraries: spaCy, NLTK, Hugging Face Transformers, Gensim

Notebooks and environments: Jupyter, Google Colab, JupyterLab, RStudio

Cloud and MLOps: AWS SageMaker, Google Cloud Vertex AI, Azure Machine Learning, Databricks, MLflow, Airflow

Visualization: Tableau, Power BI, Looker, Streamlit, Dash

Version control and collaboration: Git, GitHub, DVC for data versioning

Industries that hire freelance data scientists

Demand for data science talent spans nearly every sector. Finance and fintech firms hire for credit scoring, algorithmic trading signals, and fraud detection. E-commerce and retail clients commission recommendation engines, price optimization, and customer lifetime value models. Healthcare and biotech use data scientists for clinical analytics, medical imaging, and patient outcome prediction.

Other common use cases include marketing analytics and attribution modeling, supply chain forecasting in manufacturing and logistics, predictive maintenance for industrial IoT, churn analysis for SaaS and telecom, and content recommendation for media and streaming platforms.

How to evaluate a data science expert

Strong candidates show evidence across three dimensions: technical depth, applied project experience, and clear communication. Look for advanced degrees in statistics, computer science, mathematics, or a quantitative field, though self-taught practitioners with proven portfolios are equally valid. Certifications from AWS, Google Cloud, Microsoft, or Databricks add signal, but real project work matters more.

Review their portfolio for end-to-end projects, not just Kaggle notebooks. Look for case studies that describe the business problem, the modeling approach, validation methodology, and the measurable outcome. GitHub activity, published articles, and competition rankings can reinforce credibility.

Sample interview questions you can use:

Walk me through a data science project where the initial approach failed and how you adjusted.

How do you decide between a simple model like logistic regression and a more complex one like XGBoost or a neural network?

How do you handle imbalanced datasets in a classification problem?

What validation strategy would you use for a time series forecasting model, and why is k-fold cross-validation often inappropriate here?

How would you explain a model's predictions to a non-technical stakeholder?

Why hire data science experts on Freelancer.com

Freelancer.com gives you access to a global pool of data scientists, machine learning engineers, statisticians, and analytics consultants across every specialization. You can compare profiles, portfolios, certifications, and verified reviews before you commit. Whether you need a short consultation, a one-off model, or a long-term analytics partner, you can post a project on Freelancer.com and receive competitive bids within hours.

The platform's review system, completion rates, and Milestone Payments protect your budget while you evaluate work in stages. Clients set their own budgets and choose freelancers based on fit, not pressure. With millions of freelancers on Freelancer.com, you can find expertise in niche areas like reinforcement learning, causal inference, geospatial analytics, or LLM fine-tuning.

Ready to get started? Post a project on Freelancer.com today and connect with skilled data science experts ready to turn your data into measurable results.

What are the steps to hiring a freelance data science expert?

Hiring a data scientist works best when you treat the project brief as a mini specification. The clearer you are about the business question, the data available, and the expected output, the better the bids you will receive. Follow these three steps to find the right specialist for your project.

Step 1: Post your project on Freelancer.com

The brief is the single biggest determinant of bid quality. A vague post attracts generic proposals, while a specific brief filters for candidates whose modeling experience genuinely matches your problem. Head to the post project page , fill in the scope, timeline, and budget, then publish your project for freelancers to bid on.

The business problem stated as a question (e.g., "predict customer churn within 30 days")

Data sources, formats, approximate volume, and access method (CSV, SQL, API, cloud storage)

Required tools or stack constraints, such as Python, AWS SageMaker, or PyTorch

Expected deliverables: notebook, trained model, REST API, dashboard, or written report

Any compliance or privacy requirements such as GDPR, HIPAA, or SOC 2

Timeline, milestones, and budget range

Step 2: Review bids from freelancers

Bids are short proposals, not just price quotes. They reveal how the freelancer interprets your problem, what modeling approach they propose, and whether their timeline is realistic. Read each bid carefully and shortlist candidates whose understanding of the work matches your brief.

Clarity on proposed approach: candidate models, validation strategy, and feature engineering plan

Relevant questions about data quality, target variable definition, or class imbalance

References to appropriate tools and frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch

Sample notebooks, GitHub repositories, or case studies attached to the bid

Realistic timelines that account for data cleaning and validation, not just modeling

Use Freelancer.com's chat to ask clarifying questions before shortlisting

Step 3: Evaluate freelancers and award the project

The final decision combines proposal quality with profile evidence. Look at portfolio depth, ratings, written client reviews, and any verified credentials. Consistency across past projects matters more than a single impressive notebook, especially for data science work where reproducibility and rigor are essential.

Portfolio relevance to your industry and problem type (forecasting, NLP, computer vision, etc.)

Star ratings and the volume of completed data science and machine learning projects

Written client reviews, especially mentions of communication and reproducibility

Verified payment method, completion rate, and on-time delivery percentage

Certifications in AWS, Google Cloud, Azure, or Databricks where relevant

Award the project and use Freelancer.com's Milestone Payments to release funds as deliverables are approved at each stage

What is the difference between a data scientist and a data analyst?

A data analyst focuses on descriptive analytics, dashboards, and reporting on what has happened. A data scientist goes further by building predictive and prescriptive models using machine learning and advanced statistics. If you need historical reporting, hire an analyst; if you need forecasting or automated decision-making, hire a data scientist.

Do I need a data scientist or a machine learning engineer?

Data scientists specialize in problem framing, experimentation, and model development, while machine learning engineers focus on deploying, scaling, and maintaining models in production. For early-stage exploration and prototyping, a data scientist is the right fit. Many freelancers cover both roles, especially for small to mid-sized projects.

How long does a data science project take?

Timelines depend on scope and data readiness. A focused exploratory analysis or proof-of-concept model can take one to three weeks, while production-grade machine learning systems with deployment and monitoring typically run two to four months. Data cleaning often consumes more time than modeling itself, so expect realistic freelancers to ask detailed questions about your data sources upfront.

Can I hire a data science freelancer for a one-off project?

Yes. One-off engagements are common, including audits of existing models, building a single predictive model, statistical analysis for a research paper, or a focused consultation on methodology. Freelancer.com lets you scope a fixed-price project or hire hourly, depending on how defined the work is.

What data should I prepare before starting?

At minimum, share a clear business objective, sample data with documentation of fields and sources, and any existing reports or models. The cleaner and more accessible your data, the faster the freelancer can deliver results. Be ready to discuss data privacy, access controls, and any compliance requirements such as GDPR or HIPAA.