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analytical data scientist

Data Scientist, Product Analytics

Valiance Solutions

<div>
 
 
 About Us:
 
 
 
 At Valiance, we empower businesses with AI-driven insights and data analytics solutions. Specializing in demand forecasting within retail Industry very specific to
 
 Apparel and Footwear
 
 domains, we leverage standardized ML models to deliver accurate forecasting outcomes to our clients. We are looking for a skilled Data Scientist who can interpret and improve these models to drive real-world business results.
 
 
 
 
 
 
 Role Overview:
 
 
 
 The Data Scientist will be responsible for applying our pre-trained demand forecasting models to generate actionable insights and highly accurate forecasting outcomes. This role involves thorough data analysis, identifying trends and anomalies, interpreting results, and communicating findings effectively to a non-technical business audience. The ideal candidate is less focused on creating algorithms and more oriented towards solving business challenges and providing insights that make a tangible impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Analysis:
 
 Conduct in-depth data analysis to identify trends, patterns, and anomalies in demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 </li>
 <li>
 
 Model Utilization:
 
 Leverage existing pre-trained forecasting models, optimizing their performance by incorporating a nuanced understanding of data points and improving model outcomes based on data insights.
 </li>
 <li>
 
 Interpretation &amp; Communication:
 
 Interpret model results and explain outcomes in simple, actionable terms for business stakeholders, ensuring clarity and relevance.
 </li>
 <li>
 
 Insights Generation:
 
 Develop insights that guide business decisions, aiming for highly accurate forecasting outcomes to meet business requirements.
 </li>
 <li>
 
 Collaboration:
 
 Work closely with cross-functional teams, including business stakeholders and analysts, to ensure forecasting outputs align with business objectives and provide real-world value.
 </li>
 <li>
 
 Continuous Improvement:
 
 Identify opportunities to improve model performance through better data usage and fine-tuning, rather than new model development.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 
 Experience:
 
 
 3-6 years of experience
 
 in data science or a related field, specifically in
 
 Demand/Timeseries forecasting for Retail Industry very specific to Apparel and Footwear (must have)
 
 </li>
 <li>
 
 Technical Proficiency:
 
 Strong skills in data analysis, data visualization, and working with pre-trained ML models. Proficiency in Python, and SQL is preferred.
 </li>
 <li>
 
 Business Focus:
 
 Strong orientation towards solving business problems rather than a pure focus on machine learning algorithms.
 </li>
 <li>
 
 Communication Skills:
 
 Ability to clearly communicate insights and forecast results to non-technical stakeholders in simple, understandable language.
 </li>
 <li>
 
 Problem Solving:
 
 Demonstrated ability to interpret data, uncover actionable insights, and suggest practical solutions for business needs.
 </li>
 <li>
 
 Detail-Oriented:
 
 Thorough attention to detail, ensuring accuracy in forecasting and relevance of insights.
 </li>
 <li>
 
 Educational Background:
 
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Statistics, Computer Science, or a related field.
 </li>
 </ul>
 
 
</div>

Data Scientist

Genpact

<div>
 
 Inviting applications for the role of
 
 Data Scientist
 
 
 
 
 
 
 The role involves Designing and Implementing complex machine learning and Artificial Intelligence model. Solving business problems using Analytical and Big data tool. The role will require the candidate to work independently with research business and Vendors on analyzing and defining problem statements, and work closely with development team on designing and implementing the solutions and managing the delivery of various products.
 
 
 
 
 <ul>
 <li>
 Work Location: Mumbai &amp; Bangalore
 </li>
 </ul>
 
 
 
 
 Responsibilities:
 
 
 
 
 <ul>
 <li>
 Designing and implementing complex machine learning and Artificial Intelligence model
 </li>
 <li>
 Work closely with development team on designing and implementing the solutions and managing the delivery of various products
 </li>
 <li>
 Participate in training sessions.
 </li>
 <li>
 Stay informed about the developments in AI and LLMs.
 </li>
 </ul>
 
 
 
 
 Qualifications we seek in you!
 
 
 
 
 
 Minimum Qualifications / Skills
 
 
 
 
 <ul>
 <li>
 5+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 </ul>
 
 
 
 <ol>
 <li>
 Supervised and Unsupervised learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, RAG and fine-tuning experience with OpenAI models and Open Source LLMs
 </li>
 <li>
 Natural language Processing (Sentiment Analysis, Embedding, Summarization, Chatbot etc.) Entity identification / extraction and Knowledge discovery from structured and unstructured content
 </li>
 </ol>
 <ul>
 <li>
 Expert in python, R, Spark, Tensor, Flow, Snowflake, Databricks and Other machine learning / LLM tools
 </li>
 <li>
 Familiar with NoSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environment
 </li>
 <li>
 PhD or master&rsquo;s degree in mathematics, Statistics, Data Science, Computer Science or Other related fields
 </li>
 </ul>
 
 
</div>

Equifax

<div>
 
 Synopsis of the role
 
 
 
 Join our Identity and Fraud Solution Analytics group as a Data Scientist, where you will play a pivotal role Analyze
 
 
 multiple complex data sources using statistical analysis and programming languages to inform business decision
 
 
 making. Delivers analytical and commercial solutions for internal and external customers. Develops models and
 
 
 other analyses to test hypotheses and understand the potential impacts of decisions under various scenarios. Able
 
 
 to communicate analytical results to generate improved business decisions and profitability. Combines business
 
 
 requirements and existing processes and data knowledge to create analytical solutions.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Utilize combined knowledge of data structures, analytics, algorithms/models, and strong computer science
 
 
 </li>
 </ul>
 fundamentals to prepare datasets, conduct analytics, and develop deployable solutions with guidance from
 
 
 more senior resources.
 
 
 <ul>
 <li>
 Leverage knowledge of data structures and algorithms to analyze and prepare data for analysis, assembling
 
 
 </li>
 </ul>
 data from standard and new data sources
 
 
 <ul>
 <li>
 Able to analyze and prepare complex and new data sources and incorporate them into analytical solutions
 </li>
 <li>
 Collaborate with stakeholders to improve model performance, interpret results, and provide actionable
 
 
 </li>
 </ul>
 insights.
 
 
 <ul>
 <li>
 Works on moderate complexity tasks in problems often within multiple business or analytical domains,
 
 
 </li>
 </ul>
 collaborating with other teams to develop predictive models, risk assessments, fraud detection,
 
 
 recommendation engines, etc.
 
 
 <ul>
 <li>
 Package, summarize and visualize analytical findings and results for management.
 </li>
 <li>
 Evaluate the work of peer and/or junior data scientists to ensure high quality solutions
 </li>
 <li>
 Prioritizes and organizes own work to meet deadlines and deliver quality results
 </li>
 <li>
 Identifies and solves a range of problems in straightforward situations.
 </li>
 <li>
 Design, management and delivery of analytical insights and solutions through data analysis, data
 
 
 </li>
 </ul>
 management and data science.
 
 
 <ul>
 <li>
 Primary activities include delivering technical, business strategic expertise and ensuring proper governance
 
 
 </li>
 </ul>
 of data sources, models, attributes and analytic platforms. Accountable for the data and insight strategy and
 
 
 its execution for the company
 
 
 
 What Experience You Need
 
 
 
 <ul>
 <li>
 BS degree in a STEM major or equivalent discipline.
 </li>
 <li>
 2-5 years of experience in a related analytical role, including experience with the design and development of
 
 
 </li>
 </ul>
 predictive models
 
 
 <ul>
 <li>
 Requires knowledge and experience in own discipline; still acquiring higher-level knowledge and skills
 </li>
 <li>
 Python/SQL coding experience is a must have technical skill.
 </li>
 <li>
 Artificial Intelligence - Utilize artificial intelligence to improve process efficiency, effectiveness and products
 </li>
 <li>
 Collaboration - Work collaboratively across different projects, communicating technical details to technical
 
 
 </li>
 </ul>
 and non-technical stakeholders. Manage own priorities within and across teams.
 
 
 <ul>
 <li>
 Commercial Acumen - Have a good understanding of a product and related market segments and
 
 
 </li>
 </ul>
 understand the technical intricacies of how this product solves a commercial problem.
 
 
 <ul>
 <li>
 Decision Modeling - Understand advanced statistical concepts used to contribute to the development of
 
 
 </li>
 </ul>
 stress tested deployable machine learning algorithms (Logistic Regression, Xgboost, Neural Networks, etc.).
 
 
 <ul>
 <li>
 Leadership and Teamwork - Participate in a collaborative and productive team environment and take charge
 
 
 </li>
 </ul>
 of technical and self development
 
 
 <ul>
 <li>
 Problem Solving - Utilize hypothesis based problem solving to deliver pragmatic resolutions to business
 
 
 </li>
 </ul>
 problems.
 
 
 <ul>
 <li>
 Statistical Programming - Execute and contribute to version controlled code and make use-case-specific
 
 
 </li>
 </ul>
 modifications as needed. Manipulate and work with unstructured/structured, small and big data
 
 
 
 What Could Set You Apart
 
 
 
 <ul>
 <li>
 Cloud certification strongly preferred.
 </li>
 <li>
 Additional role-based certifications may be required depending upon region/BU requirements.
 </li>
 <li>
 lending, credit risk and marketing analytics space - both in India &amp; International.
 </li>
 <li>
 Chance to use cutting-edge statistical/modeling tools across literally hundreds of data assets.
 </li>
 <li>
 Offices located in the center of Bangalore &amp; Mumbai.
 </li>
 <li>
 Utilize artificial intelligence to improve process efficiency, effectiveness and products
 </li>
 <li>
 Equifax D&amp;A University: skill lab, group &amp; individual learning.
 </li>
 </ul>
</div>

AB InBev GCC India

<div>
 
 AB InBev GCC was incorporated in 2014 as a strategic partner for Anheuser-Busch InBev. The center leverages the power of data and analytics to drive growth for critical business functions such as operations, finance, people, and technology. The teams are transforming Operations through Tech and Analytics.
 
 
 
 
 
 Do You Dream Big?
 
 
 
 
 
 We Need You.
 
 
 
 
 
 
 Job Title: Data Scientist
 
 
 
 
 
 
 
 Location: Bangalore
 
 
 
 
 
 
 
 Reporting to: Manager- Analytics/ Senior Manager-Analytics
 
 
 
 
 
 
 
 1. PURPOSE OF THE ROLE
 
 
 
 
 
 
 Contributing to the Data Science efforts of AB InBevʼs global non-commercial analytics capability of Supply Analytics. Candidate will be required to contribute and
 
 
 may also need to guide the DS team staffed on the area and assess the efforts required to scale and standardize the use of Data Science across multiple ABI markets
 
 
 
 
 
 
 2. KEY TASKS AND ACCOUNTABILITIES
 
 
 
 
 
 <ul>
 <li>
 Understand the business problem and translate that to an analytical problem; participate in the solution design process.
 </li>
 <li>
 Manage the full AI/ML lifecycle, including data preprocessing, feature engineering, model training, validation, deployment, and monitoring.
 </li>
 <li>
 Develop reusable and modular Python code adhering to OOP (Object-Oriented Programming) principles.
 </li>
 <li>
 Design, develop, and deploy machine learning models into production environments on Azure.
 </li>
 <li>
 Collaborate with data scientists, software engineers, and other stakeholders to meet business needs.
 </li>
 <li>
 Ability to communicate findings clearly to both technical and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 3. Qualifications, Experience, Skills
 
 
 
 
 
 
 
 Level of educational attainment required (1 or more of the following)
 
 
 <ul>
 <li>
 B. Tech /BE/ Masters in CS/IS/AI/ML.
 </li>
 </ul>
 
 
 
 
 
 Previous work experience required
 
 
 <ul>
 <li>
 Minimum 3 years of relevant experience.
 </li>
 </ul>
 
 
 
 
 
 Technical skills required
 
 
 
 
 
 
 
 Must Have
 
 
 <ul>
 <li>
 Strong expertise in Python, SQL, and libraries such as Scikitlearn, Pandas, NumPy, and PyTorch or TensorFlow including advanced knowledge of OOP concepts.
 </li>
 <li>
 Exposure to AI/ML methodologies with a previous hands-on experience in ML concepts like forecasting, clustering, regression, classification, optimization using Python.
 </li>
 <li>
 Azure Tech Stack, Databricks, ML Flow in any cloud platform Airflow for orchestrating and automating workflows.
 </li>
 <li>
 Strong knowledge of feature engineering, model training, and validation techniques.
 </li>
 <li>
 MLOPS concepts and containerization tools like Docker.
 </li>
 <li>
 Experience with version control tools such as Git.
 </li>
 <li>
 Consistently display an intent for problem solving. Strong communication skills (vocal and written).
 </li>
 <li>
 Ability to effectively communicate and present information at various levels of an organization.
 </li>
 <li>
 Experience in model evaluation, A/B testing, and back testing methodologies.
 </li>
 </ul>
 
 
 
 
 
 Good To Have
 
 
 <ul>
 <li>
 Preferred industry exposure in Manufacturing Domain.
 </li>
 <li>
 Product building experience.
 </li>
 </ul>
 
 
 
 
 
 Other Skills required
 
 
 <ul>
 <li>
 Passion for solving problems using data.
 </li>
 <li>
 Detail oriented, analytical and inquisitive.
 </li>
 <li>
 Ability to learn on the go.
 </li>
 <li>
 Ability to work independently and with others.
 </li>
 </ul>
 
 
 
 
 We dream big to create future with more cheers!
 
</div>

HSBC

<div>
 
 Some Careers Have More Impact Than Others.
 
 
 
 If you&rsquo;re looking for a career where you can make a real impression, join HSBC and discover how valued you&rsquo;ll be.
 
 
 HSBC is one of the largest banking and financial services organisations in the world, with operations in 62 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.
 
 
 We are currently seeking an experienced professional to join our team in the role of
 
 Machine Learning Data Scientist
 
 
 
 
 Business: Global Banking &amp; Markets
 
 
 
 
 Principal Responsibilities
 
 
 
 <ul>
 <li>
 The Role Holder will be responsible for leading the data science activities within the project, working with business analysts, data scientists and developers:
 </li>
 <li>
 Reviewing the proof of concept, current state and opportunities to utilise AI/ML in the Trade and Transaction Reporting Controls area.
 </li>
 <li>
 Proposing appropriate AI/ML models and techniques that will best fit with the data domains, volumes, available tools and business priorities.
 </li>
 <li>
 Using a range of AI/ML techniques and programming languages to transform data, analyse data and identify potential data quality issues.
 </li>
 <li>
 Building scalable machine learning pipelines and using feature engineering and optimisation methods to improve data set performance.
 </li>
 <li>
 Working with technology to integrate and separate data feeds to map, produce, transform and test new machine learning pipelines.
 </li>
 <li>
 Work with Business Partners to clarify problems/opportunities and propose solutions underpinned by strong data analysis of underlying controls and processes
 </li>
 <li>
 To understand and operate within HSBC&rsquo;s AI/ML governance and procedures
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Relevant Bachelor's or equivalent University degree in AI/Machine Learning.
 </li>
 <li>
 Evidence of a successful track record of leading delivery of AI/ML solutions within Markets/Investment Banks.
 </li>
 <li>
 Strong data scientist with experience in anomaly detection techniques, particularly in the trade data domain.
 </li>
 <li>
 Awareness of a broad range of ML techniques.
 </li>
 <li>
 Google Vertex an advantage.
 </li>
 <li>
 Good overall understanding of Primary Trading systems, trading products and front to back trade lifecycle flows.
 </li>
 <li>
 Demonstrated experience working with SMEs and key stakeholders to support understanding of the problem/data.
 </li>
 <li>
 Be capable of communicating complex data science/AI/ML techniques and processes to business users and SMEs
 </li>
 <li>
 Drive and resilience as must be comfortable working in rapidly changing and ambiguous situations.
 </li>
 <li>
 Hands on ability to perform data analysis to drive business insights and decision making.
 </li>
 <li>
 Proactive and willing to use own initiative to resolve issues.
 </li>
 <li>
 Excellent communication and interpersonal skills.
 </li>
 <li>
 Structured and methodical in planning their own book of work, delivery of artefacts, managing multiple competing priorities and setting expectations with stakeholders.
 
 
 </li>
 </ul>
 
 You&rsquo;ll achieve more at HSBC
 
 
 
 HSBC is an equal opportunity employer committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and, opportunities to grow within an inclusive and diverse environment. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.&rdquo;
 
 
 Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.
 
 
 <ul>
 <li>
 Issued By HSBC Electronic Data Processing (India) Private LTD***
 </li>
 </ul>
</div>

Machine Learning Data Scientist (Blr)

BitGo

<div>
 BitGo is the leading infrastructure provider of digital asset solutions, delivering custody, wallets, staking, trading, financing, and settlement services from regulated cold storage. Since our founding in 2013, we have focused on enabling our clients to securely navigate the digital asset space. With a global presence and multiple Trust companies, BitGo serves thousands of institutions, including many of the industry's top brands, exchanges, and platforms, and millions of retail investors worldwide. As the operational backbone of the digital economy, BitGo handles a significant portion of Bitcoin network transactions and is the largest independent digital asset custodian, and staking provider, in the world. For more information, visit www.bitgo.com.
 
 
 BitGo is looking for a
 
 Data Scientist
 
 who will join our Data Science and Analytics Team and help us continuously refine the framework that supports our growing business and make data-driven decisions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Develop data-driven business insights and work with cross-functional partners to find opportunities and make product and growth recommendations.
 </li>
 <li>
 Develop and standardize metrics and dashboards that would identify trends and generate hypotheses about the product through a deep understanding of the data, our customers, and our business
 </li>
 <li>
 Work collaboratively with cross-functional teams to implement solutions driven by business requirements
 </li>
 <li>
 Develop and automate reporting of key performance indicators of various BitGo&rsquo;s products and services at scale
 </li>
 <li>
 Partner with product managers to design experiments to test hypothesis and help with idea generation and refinement
 </li>
 <li>
 Collaborate with engineering teams and stakeholders to build and improve on the availability, integrity, accuracy, and reliability of data pipelines
 </li>
 <li>
 Be a data evangelist and help BitGo improve its products and services
 
 
 </li>
 </ul>
 
 Skills &amp; Experience:
 
 
 
 We are looking for teammates who share and practice our values: open communication, transparency, taking ownership, and a high level of craftsmanship. We are looking for coworkers who share our vision and mission: deliver trust in digital assets.
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 2+ years industry experience in data analytics field
 </li>
 <li>
 Advanced knowledge of SQL, scripting languages and database concepts
 </li>
 <li>
 The ability to clearly communicate complex results to technical and non-technical audiences
 </li>
 <li>
 Knowledge of Basic Statistics required
 </li>
 <li>
 Experience with Google Analytics / Hubspot / SEM will be a plus
 </li>
 <li>
 Experience with BI Tools (Tableau, Looker,Google Data Studio, Google Big Query)
 </li>
 <li>
 Familiarity with data warehouse development and best practices
 </li>
 <li>
 The versatility and willingness to learn new technologies on the job such as DBT, Airflow
 </li>
 <li>
 BA/BS or MA/MS degree in Mathematics, Statistics, Economics, Information Systems, Computer Science, Business Analytics, Data Science or related technical field
 
 
 </li>
 </ul>
 
 Why Join BitGo?
 
 
 
 Disrupting an industry takes vision, innovation, passion, technical chops, drive to deliver, collaboration, and execution. Join a team of great people who strive for excellence and personify our corporate values of ownership, craftsmanship, and open communication. We are looking for new colleagues who bring innovative ways of thinking and problem solving, and who want risks to be part of the team that changes the world&rsquo;s financial markets.
 
 
 Here are some of the benefits of working at BitGo:
 
 
 <ul>
 <li>
 Competitive salary
 </li>
 <li>
 IT equipment support for work
 </li>
 <li>
 Meal &amp; Commute allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Attractive Well-being allowance (comprises of medical, wellness and fitness aspects)
 </li>
 <li>
 Snacks: on-the-house in the Bangalore office
 </li>
 <li>
 Great/Talented workforce to learn and grow with
 
 
 </li>
 </ul>
 
 Note:
 
 This role requires working onsite (Monday to Friday) at the Bangalore office.
 
 
 Cryptocurrencies are the most disruptive change the financial services industry has seen in years. Join us and you'll be able to look back and say you were part of the team that transformed investing.
</div>

Explore 345+ Analytical data scientist in Mangaluru this November. Find roles across top companies and apply now to boost your career.

345 analytical data scientist jobs IN Mangaluru

Data Scientist, Product Analytics

Data Scientist

Data Scientist

Data Scientist

Data Scientist

Machine Learning Data Scientist (Blr)

Data Scientist