Trusted By Clients Worldwide

Verizon Bangkok Bank
Edward Jones Academy
Bridgestone Dubai Bazar
Franklin Templetion Children's Place
Container Store KPMG
Shell NatWest

Services We Offer in Data Science Consulting

We offer result-oriented data science consulting services using the latest tools and technologies to identify and solve your most complex data science challenges strategically.

Using emerging technologies like web scraping, cloud data collection tools, and Web APIs, our data engineers collect data based on business challenges you are trying to solve. Our team of data science consultants is highly proficient in database systems like MongoDB. PostgreSQL, MySQL, etc. Besides, they are the top-notch data science experts using various tools and technologies like Python, R, Beautiful Soup, Scrapy, Spark, Apache, and more to get you the correct data set anytime and anywhere.

Our data architects and data engineers use specialized data cleansing tools such as Data Ladder, WinPure, and data preparation tools such as Altair, DataRobot, Tableau, Tibco Software, and Trifacta to investigate and cleanse the data. We cleanse the inconsistent, irrelevant, and duplicate data and fix typos, invalid, or missing data. Finally, the data is accurate, complete, consistent, integral, timely, uniform, and validated.

Our data architects create database systems and data warehouse designs suiting your needs. They load the cleansed data into those data lake repositories or data warehouses or simply load it into the NoSQL database. Then the data analysts explore the data by accessing column-level anomalies, distributions, patterns, structures, and much more. Once it is done, they structure, enrich, and shape the data using various data science techniques. They also use modern tools like Improvado, Alteryx, Microsoft Power BI, Tableau, Trifacta, Qlik, DataWatch, SAP, etc.

We have established our reputation in offering the most-preferred data science services such as EDA. Our data engineers work on questions for which you need answers and the factors or elements affecting them. We distribute data in distinctive variables to explore it graphically using bar graphs. Besides, the relation between different data points is captured via graphical representation like warmth maps, scatter plots, etc.

We develop a minimum viable model or MVA. It allows our data science experts to collect the maximum amount of validated learning and is the core strength of our data science consultancy services. Depending on the requirement, our team can build a real-time API, ML algorithm, and dashboard along with a backend system or a Python script. Our data scientists validate the MVA in real-time, measure its performance, enhance wherever necessary and deploy it to get the expected results.

We use DataOps components to offer scalable, purpose-driven big data platforms by adhering to best data privacy, security, and governance practices. Our DataOps services enable deeper cooperation, set up enterprise-level DevOps ability, orchestrate multi-layer data architecture, build the end-to-end data architecture, and automate infrastructure. Under DataOps, we cover Databases, IoT, Automation, Big data, Machine learning, Smartphones, Blockchain, Cloud, and much more.

Bacancy offers data science consulting services to help organizations develop custom data science solutions by applying AI, Deep Learning, Machine Learning, and other emerging technologies. Depending on your requirements, we opt for a project-driven or product-driven approach to automate and streamline the data processing pipeline. Our data science consultants offer various services for data science use cases, ML model building, ML algorithms, Data security & data governance, DataOps, Data Mesh, etc.

Leverage our team of data scientists, data engineers, data architects, and data specialists to adopt a data-driven culture. As one of the leading data science consulting firms, we can help you ramp up your data processing and machine learning capabilities so that you can do better business with better data. Using cutting-edge ML and AI solutions, data procurement strategies, and expertise beyond data science technologies and advanced data analytics can help you leverage data and maximize ROI.

Additional Services Our Data Science Consulting Firm Offers

At Bacancy, we offer below-mentioned additional services in Data Science consultancy. Hire Data Science consultants with the skill set and expertise you need.

Data preprocessing

Data investigation and cleansing

Data migration

Data labeling

Data annotation

Data conversion

Data interpretation

Data mining

Data discovery

Data transformation

Data aggregation

Data storage

Data integration

Data analysis

Model creation

Model Optimization

Methods and Technologies We Use

Statistical Programming Methods

Statistical Programming Methods

SPSS Statistics | RStudio | JMP | Minitab Statistical Software | eviews | OriginPro | Stata | Base SAS | TIMi | SuiteOrange | GraphPad Prism | Stat Graphics | XLSTAT | Wolfram Mathematica

Supervised Learning Algorithms

Supervised Learning Algorithms

Regression | Logistic Regression | Classification | Naive Bayes Classifiers | Decision Trees | Linear Regression | Ridge & Lasso Regression | KNN | Random Forest | Ada-Boost | Logistic Regression | Support Vector Machines | Gradient Boosting | XGBoost

Unsupervised Learning Algorithms

Unsupervised Learning Algorithms

Clustering | Hierarchical clustering | Probabilistic Clustering | K-means clustering | K-NN | Principal Component Analysis | Singular Value Decomposition | Independent Component Analysis | Stochastic Gradient | Apriori Algorithm | Isolation Forest | Affinity Propagation

Neural Networks

Neural Networks

LSTM and GRU | Autoencoders | Generative adversarial networks | Deep Q-network (DQN) | Bayesian Deep Learning

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We accelerate the release of digital product and guaranteed your success

We Use Slack, Jira & GitHub for Accurate Deployment and Effective Communication.

Advanced Tech Stack Our Data Science Consultants Use

LANGUAGES Python R TypeScript SQL C/C++ Java Julia Scala JavaScript Swift GO MATLAB SAS
FRAMEWORKS TensorFlow Scikit-learn Keras Pandas Spark MLib PyTorch Matplotlib Numpy Seaborn Theano
LIBRARIES/APIs TensorFlow NumPy SciPy Pandas Matplotlib Keras SciKit-Learn PyTorch Scrapy BeautifulSoup SQLAlchemy Flask-RESTful XGBoost OpenCV
STORAGE MongoDB PostgreSQL Google Cloud MySQL Sybase SQLite Company Databases JSON Oracle9i Oracle RDBMS SQL Server Apache Hive NoSQL AWS S3
TOOLS SAS Apache Spark BigML D3.js MATLAB Excel Tableau ggpplot2 Jupyter Matplotlib NLTK Scikit-Learn TensorFlow Weka
PLATFORMS Google Cloud Platform (GCP) Docker Jupyter Notebook Amazon Web Services (AWS) Alteryx RStudio DataRobot Anaconda Lambda AWS EC2 H20 RapidMiner TIBCO Domino

Our Amazing Customer Success Stories

Over the past 6+ years, Check out the work our dedicated Data Scientists have done for our valuable clients to solve real-life problems and help them overcome start-up challenges.

Customer Segmentation
Customer Segmentation


Customer Segmentation

Core Technologies - Python | PowerBI | JupyterNotebook

Our client was interested in running targeted marketing campaigns by segmenting them into different homogenous groups. We used the customer database to get the RFM values and, with a customized SQL query, pulled the data to a CSV file for RFM analysis in Python. Using the Jupyter Notebook, we did EDA and calculated the RFM values.

Video Transcript Summarization
Video Transcript Summarization


Video Transcript Summarization

Core Technologies - Python | NLP | Flask

We developed an NLP model to create a YouTube video summary and generate QnA for a Europe-based educational institution. To ensure the YouTube transcript summary matches the user-defined length, we used both - Extractive and Abstractive summarization techniques. For the QnA generation, we used BART.

Category Prediction
Category Prediction


Category Prediction

Core Technologies - Python | NLP | Rasa | Flask | MatPlotLib

We were asked to develop a company category prediction for one of our valuable clients based in the USA. To work upon their request, our Data science developers used an additive model- boosted tree regression (BRT) model, which uses decision trees to learn and predict the category of the company by fetching and analyzing the metatags from the company website's homepage. About the results we brought, the working accuracy score of the company category prediction model was 70%.

Use Cases for Data Science

Why Hire Us as Your Data Science Consulting Company?

At Bacancy, we have a team of data scientists, engineers, analysts, and architects skilled and experienced to assist you in adopting a data-driven culture. A successful data journey begins with a trusted and right data science consulting company. We are known for bringing innovations to the table, right from data management to get pinpoint insights, and adding new technologies to the infrastructure.

We can help you implement data architecture, scale data engineering, collaborate with data analysts, and explore alongside data scientists. You can rely on us for a complete data science lifecycle, AI and ML architecture, and full-scale business analytics initiatives. Our data science consultants bring industry and use case expertise to transform your business and make the most of your unstructured data.

Why Should You Hire Us as Your Data Science Services Partner?

Advantages of Partnering with Bacancy:

  • Agile methodology
  • Flexible engagement models
  • Certified data professionals
  • A wide range of data science services
  • 360𝆩 View of project development
  • Experience in working with different industries
  • Timezone flexibility
  • Fully signed NDA
  • 100% client satisfaction
  • Easy exit policy

Frequently Asked Questions

Still have questions? Let’s talk

Data science consultants are the data science specialists responsible for educating clients on versatile aspects of data science and using modern technology to utilize data for their benefit. In simple terms, they understand the data science challenges faced by clients, review their expectations, and propose data-driven solutions that would enhance the data science competencies, compatibility, structuring, security, analytics skills, and gravity of the data they possess.

As per the 2020 data, companies paid between $200 to $350 for one-hour data science support and consultation. Besides, the salaries for data scientists ranged from $54,000 to $140,000 per year.

However, if you want to know about our rates, you can find the information on our consulting charges provided above.

Here are some of the standard data science services we provide:

  • Data Preparation
  • Data Modeling
  • Data Warehousing
  • Database Development
  • Statistical Programming
  • Resolve issues with existing data science projects
  • Data science support and maintenance
  • To identify data sources and collect data from all the touch points.
  • Identify problems and growth opportunities.
  • Cleanse and transform the raw data into structured and meaningful data.
  • Build and apply ML models to analyze data.
  • Data analysis and visualization to see the bigger picture.
  • Perform in-depth analyses and retrieve actionable insights to make informed decisions.
  • Present data insights in a visually appealing and understanding format.
  • Get answers to all your queries using data generated within the company.

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