consultant data science

Dell Technologies

<div>
 
 Data Science Consultant
 
 
 
 Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What&rsquo;s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data.
 
 
 Dell Content Engineering and Translation (CET) teams exist within a very complex ecosystem of departments and business units around the world that together enable Dell's commitment to excellence. As Dell expands its offerings and updates its infrastructure, CET is increasingly at the center of many fast-paced, exciting projects which require vision and technical acumen to achieve, as well as expertise at navigating administrative and political complexity.
 
 
 Join us as a
 
 Senior Data Scientist
 
 on our
 
 DevOps
 
 team in
 
 Bangalore
 
 to do the best work of your career and make a profound social impact.
 
 
 
 What You&rsquo;ll Achieve
 
 
 
 The Senior Data Scientist will join Dell&rsquo;s Content Engineering &amp; Translation (CET) organization, driving innovation at the intersection of knowledge graphs and Generative AI. This role focuses on graph-based modelling and reasoning as well as GenAI, LLMs, and agentic workflows, delivering intelligent, explainable, and scalable solutions for Dell&rsquo;s global content ecosystem. You will combine strong theoretical foundations in data science and machine learning with hands-on expertise in graph technologies, LLM integration, and multi-modal workflows.
 
 
 
 You will:
 
 
 
 <ul>
 <li>
 Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
 </li>
 <li>
 Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
 </li>
 <li>
 Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
 </li>
 <li>
 Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
 </li>
 <li>
 Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.
 
 
 </li>
 </ul>
 
 Take the first step towards your dream career
 
 
 
 Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:
 
 
 
 Essential Requirements
 
 
 
 <ul>
 <li>
 Experience of 12 to 15 years, with strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
 </li>
 <li>
 Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
 </li>
 <li>
 Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
 </li>
 <li>
 Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
 </li>
 <li>
 Excellent communication and presentation skills; ability to document and explain complex solutions clearly.
 
 
 </li>
 </ul>
 
 Desirable Requirements
 
 
 
 <ul>
 <li>
 Experience with Agile development methodology (e.g., Scrum)
 
 
 </li>
 </ul>
 
 Who We Are
 
 
 
 We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you.
 
 
 Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.
 
 
 
 Application closing date: 5 January 2026
 
 
 
 Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.
 
 
 
 Job ID:
 
 R276236
</div>

Consultant, Data Science

Arcadis

<div>
 Arcadis is the world's leading company delivering sustainable design, engineering, and consultancy solutions for natural and built assets.
 
 
 We are more than 36,000 people, in over 70 countries, dedicated to improving quality of life. Everyone has an important role to play. With the power of many curious minds, together we can solve the world&rsquo;s most complex challenges and deliver more impact together.
 
 
 
 Qualification &amp; Experience:
 
 
 
 <ul>
 <li>
 Minimum of 8 years of experience as a Data Scientist/Engineer with demonstrated expertise in data engineering and cloud computing technologies.
 </li>
 <li>
 Technical Responsibilities &ndash;
 </li>
 <ul>
 <li>
 Excellent proficiency in Python, with a strong focus on developing advanced skills.
 </li>
 <li>
 Extensive exposure to NLP and image processing concepts.
 </li>
 <li>
 Proficient in version control systems like Git.
 </li>
 <li>
 In-depth understanding of Azure deployments.
 </li>
 <li>
 Expertise in OCR, ML model training, and transfer learning.
 </li>
 <li>
 Experience working with unstructured data formats such as PDFs, DOCX, and images. O
 </li>
 <li>
 Strong familiarity with data science best practices and the ML lifecycle.
 </li>
 <li>
 Strong experience with data pipeline development, ETL processes, and data engineering tools such as Apache Airflow, PySpark, or Databricks.
 </li>
 <li>
 Familiarity with cloud computing platforms like Azure, AWS, or GCP, including services like Azure Data Factory, S3, Lambda, and BigQuery.
 </li>
 </ul>
 <li>
 Tool Exposure: Advanced understanding and hands-on experience with Git, Azure, Python, R programming and data engineering tools such as Snowflake, Databricks, or PySpark.
 </li>
 <li>
 Data mining, cleaning and engineering: Leading the identification and merging of relevant data sources, ensuring data quality, and resolving data inconsistencies.
 </li>
 <li>
 Cloud Solutions Architecture: Designing and deploying scalable data engineering workflows on cloud platforms such as Azure, AWS, or GCP.
 </li>
 <li>
 Data Analysis: Executing complex analyses against business requirements using appropriate tools and technologies.
 </li>
 <li>
 Software Development: Leading the development of reusable, version-controlled code under minimal supervision.
 </li>
 <li>
 Big Data Processing: Developing solutions to handle large-scale data processing using tools like Hadoop, Spark, or Databricks.
 
 
 </li>
 </ul>
 
 Principal Duties &amp; Key Responsibilities:
 
 
 
 <ul>
 <li>
 Leading data extraction from multiple sources, including PDFs, images, databases, and APIs.
 </li>
 <li>
 Driving optical character recognition (OCR) processes to digitize data from images.
 </li>
 <li>
 Applying advanced natural language processing (NLP) techniques to understand complex data.
 </li>
 <li>
 Developing and implementing highly accurate statistical models and data engineering pipelines to support critical business decisions and continuously monitor their performance.
 </li>
 <li>
 Designing and managing scalable cloud-based data architectures using Azure, AWS, or GCP services.
 </li>
 <li>
 Collaborating closely with business domain experts to identify and drive key business value drivers.
 </li>
 <li>
 Documenting model design choices, algorithm selection processes, and dependencies.
 </li>
 <li>
 Effectively collaborating in cross-functional teams within the CoE and across the organization.
 </li>
 <li>
 Proactively seeking opportunities to contribute beyond assigned tasks.
 
 
 </li>
 </ul>
 
 Required Competencies:
 
 
 
 <ul>
 <li>
 Exceptional communication and interpersonal skills.
 </li>
 <li>
 Proficiency in Microsoft Office 365 applications.
 </li>
 <li>
 Ability to work independently, demonstrate initiative, and provide strategic guidance.
 </li>
 <li>
 Strong networking, communication, and people skills.
 </li>
 <li>
 Outstanding organizational skills with the ability to work independently and as part of a team.
 </li>
 <li>
 Excellent technical writing skills.
 </li>
 <li>
 Effective problem-solving abilities.
 </li>
 <li>
 Flexibility and adaptability to work flexible hours as required.
 
 
 </li>
 </ul>
 
 Key competencies / Values:
 
 
 
 <ul>
 <li>
 Client Focus: Tailoring skills and understanding client needs to deliver exceptional results.
 </li>
 <li>
 Excellence: Striving for excellence defined by clients, delivering high-quality work.
 </li>
 <li>
 Trust: Building and retaining trust with clients, colleagues, and partners.
 </li>
 <li>
 Teamwork: Collaborating effectively to achieve collective success.
 </li>
 <li>
 Responsibility: Taking ownership of performance and safety, ensuring accountability.
 </li>
 <li>
 People: Creating an inclusive environment that fosters individual growth and development.
 
 
 </li>
 </ul>
 Why Arcadis?
 
 
 We can only achieve our goals when everyone is empowered to be their best. We believe everyone's contribution matters. It&rsquo;s why we are pioneering a skills-based approach, where you can harness your unique experience and expertise to carve your career path and maximize the impact we can make together.
 
 
 You&rsquo;ll do meaningful work, and no matter what role, you&rsquo;ll be helping to deliver sustainable solutions for a more prosperous planet. Make your mark, on your career, your colleagues, your clients, your life and the world around you.
 
 
 Together, we can create a lasting legacy.
 
 
 Join Arcadis. Create a Legacy.
 
 
 Our Commitment to Equality, Diversity, Inclusion &amp; Belonging
 
 
 We want you to be able to bring your best self to work every day which is why equality and inclusion is at the forefront of all our activities. Our ambition is to be an employer of choice and provide a great place to work for all our people. We are an equal opportunity employer; women, minorities, and people with disabilities are strongly encouraged to apply. We are dedicated to a policy of non-discrimination in employment on any basis including race, caste, creed, colour, religion, sex, age, disability, marital status, sexual orientation, and gender identity.
 
 
</div>

Consultant Data Science

KPMG India

<div>
 
 KPMG entities in India are professional services firm(s). These Indian member firms are affiliated with KPMG International Limited. KPMG was established in India in August 1993. Our professionals leverage the global network of firms, and are conversant with local laws, regulations, markets and competition. KPMG has offices across India in Ahmedabad, Bengaluru, Chandigarh, Chennai, Gurugram, Hyderabad, Jaipur, Kochi, Kolkata, Mumbai, Noida, Pune, Vadodara and Vijayawada.
 
 
 KPMG entities in India offer services to national and international clients in India across sectors. We strive to provide rapid, performance-based, industry-focused and technology-enabled services, which reflect a shared knowledge of global and local industries and our experience of the Indian business environment.
 
 
 
 
 
 We are seeking a highly skilled
 
 SAP SD Functional Senior Consultant
 
 with experience in SAP S/4 HANA to join our team. The ideal candidate will have a strong background and expertise in implementing, configuring, and supporting SAP Sales and Distribution
 
 
 solutions on
 
 SAP S/4 HANA
 
 . The successful candidate will play a crucial role in the system, process review and roadmap definition for SAP implementations, including transition from ECC to S/4 HANA.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Conduct comprehensive review of existing SAP SD systems and business processes to identify gaps and improvement opportunities.
 </li>
 <li>
 Develop comprehensive roadmap for implementing identified improvement opportunities including detailed timelines, milestones, dependencies.
 </li>
 <li>
 Develop a comprehensive roadmap for transitioning to SAP S/4 HANA ensuring alignment with business objectives and industry best practices.
 </li>
 <li>
 Provide functional expertise and guidance in the design, configuration, and testing of SAP S/4 HANA solutions and data migration.
 </li>
 <li>
 Collaborate with cross-functional teams to ensure alignment and seamless integration with other SAP modules and third-party systems.
 </li>
 <li>
 Provide expert guidance on best practices for SAP S/4 HANA implementation and optimization.
 </li>
 <li>
 Collaborate with key stakeholders to gather, define, and document business requirements, translating them into effective SAP solutions.
 </li>
 <li>
 Lead workshops and training sessions to educate stakeholders on SAP S/4 HANA functionalities and benefits.
 </li>
 <li>
 Stay updated with the latest SAP S/4 HANA trends, best practices, and industry standards.
 </li>
 </ul>
 
 
 
 
 
 Qualifications and Skills:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree or higher in Computer Science, Information Technology, Business Administration, or a related field.
 </li>
 <li>
 Minimum of 5 years of experience as an SAP SD Functional Consultant, with 2 end-to-end SAP implementation projects completed including S/4 HANA.
 </li>
 <li>
 Looking for SAP SD with
 
 LE(Logistics Execution)/ Pricing with Vistex/ Variant Configuration
 
 </li>
 <li>
 Strong knowledge of SAP SD modules, including Order Management, Pricing, Billing, Shipping, and Sales Support as well as integration with other modules such as MM, FI, WM,
 </li>
 <li>
 Experience with SAP S/4 HANA
 </li>
 <li>
 Experience with migration projects is a plus.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 SAP SD certification is a plus.
 </li>
 </ul>
 
 
</div>

Sap Sales Distribution Consultant

Weekday AI (YC W21)

<div>
 
 This role is for one of the Weekday's clients
 
 
 
 
 Salary range: Rs 1000000 - Rs 2000000 (ie INR 10-20 LPA)
 
 
 
 Min Experience: 4 years
 
 
 Location: Bangalore
 
 
 JobType: full-time
 
 
 We are looking for a Data Scientist to lead the end-to-end data science lifecycle&mdash;from problem definition and hypothesis development to model deployment planning and performance evaluation. This role focuses on building scalable, production-ready machine learning solutions that drive insights across content, audience, growth, and revenue use cases.
 
 
 You will work closely with product, editorial, growth, sales, and engineering teams to identify high-impact opportunities and translate complex data into actionable business outcomes.
 
 
 
 Requirements
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 <ul>
 <li>
 Own the complete data science workflow including problem framing, feature engineering, model development, validation, and deployment planning
 </li>
 <li>
 Develop and operationalize machine learning models for forecasting, personalization, churn prediction, attribution, ranking, and content intelligence
 </li>
 <li>
 Build content and audience intelligence using NLP techniques such as embeddings, semantic similarity, topic and entity modeling, summarization, and relevance scoring
 </li>
 <li>
 Design sales and advertising analytics solutions including demand forecasting, pricing optimization, uplift modeling, and campaign effectiveness measurement
 </li>
 <li>
 Perform advanced statistical analysis including causal inference, A/B testing, experiment design, incrementality, and uplift measurement
 </li>
 <li>
 Partner with data engineering teams to develop scalable data pipelines and model training workflows
 </li>
 <li>
 Define and maintain unified KPIs and measurement frameworks to evaluate content performance and audience behavior across platforms
 </li>
 <li>
 Monitor model performance, detect drift, ensure robustness, fairness, and governance of deployed models
 </li>
 <li>
 Deliver executive-ready insights through dashboards, automated reports, and clear data storytelling
 </li>
 <li>
 Collaborate with cross-functional teams to prioritize initiatives with the highest business impact
 </li>
 <li>
 Contribute to code and design reviews, mentor peers, and raise analytical standards across the organization
 
 
 </li>
 </ul>
 
 Required Skills &amp; Experience
 
 
 
 
 
 Must-Have
 
 
 
 
 <ul>
 <li>
 4-7 years of applied data science experience delivering measurable business impact
 </li>
 <li>
 Strong proficiency in Python (pandas, NumPy, scikit-learn, statsmodels) and SQL
 </li>
 <li>
 Hands-on experience building and validating ML models including regression, classification, forecasting, clustering, recommendation systems, uplift models, and NLP-based solutions
 </li>
 <li>
 Solid foundation in statistics, probability, hypothesis testing, experimental design, and causal inference
 </li>
 <li>
 Experience working with large-scale datasets and cloud platforms such as AWS, Azure, or GCP
 </li>
 <li>
 Familiarity with BI and visualization tools like Tableau, Power BI, or Plotly
 </li>
 <li>
 Strong analytical thinking, communication, and data storytelling skills
 
 
 </li>
 </ul>
 
 
 Good-to-Have
 
 
 
 
 <ul>
 <li>
 Experience with deep learning frameworks such as TensorFlow or PyTorch
 </li>
 <li>
 Exposure to big data technologies like Spark, Hadoop, or Databricks
 </li>
 <li>
 Familiarity with MLOps practices, model monitoring, and production ML workflows
 
 
 </li>
 </ul>
 
 
 Education
 
 
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, or a related field
 
 
 </li>
 </ul>
 
 Key Skills
 
 
 
 Data Science
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Pandas
 </li>
 <li>
 NLP
 </li>
 <li>
 Machine Learning
 </li>
 <li>
 SQL
 </li>
 <li>
 AWS
 </li>
 <li>
 Statistics
 </li>
 <li>
 Experimentation
 </li>
 </ul>
</div>

Data Scientist

Microsoft

<div>
 
 Overview
 
 
 
 Overview
 
 
 With the rapid acceleration of AI and the need to deliver trustworthy, high-performing models, Microsoft&rsquo;s Customer Experience (CXP) Data Science team is driving innovation at scale! Our mission is to advance AI capabilities through rigorous evaluations, fine-tuning, and large-scale experimentation to create intelligent, personalized experiences for customers worldwide. The CXP Data Science team is seeking passionate AI practitioners and data scientists to join agile, cross-functional teams working on cutting-edge model evaluation frameworks, optimization pipelines, and experimentation platforms that power Microsoft&rsquo;s AI ecosystem.
 
 
 We are looking for an
 
 Applied AI Scientist II
 
 to join our team! As a member of the Customer Experience Data Science organization at Microsoft, you will help us accelerate the company&rsquo;s own AI transformation. You will have the opportunity to partner directly with the engineering and product management groups responsible for managing the Dynamics 365 applications that power Microsoft&rsquo;s sales, marketing, and support platforms. You will apply advanced analytics, statistical modeling, machine learning and GenAI tools to uncover insights, drive action and deliver innovative solutions for complex business challenges.
 
 
 
 This Role Offers The Opportunity To
 
 
 
 <ul>
 <li>
 Collaborate across a diverse team of data scientists, engineers, and product managers
 </li>
 <li>
 Deepen your expertise in the evolving AI and ML landscape
 </li>
 <li>
 Drive meaningful impact for thousands of Microsoft sales, marketing and support platform users
 
 
 </li>
 </ul>
 Microsoft&rsquo;s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
 
 
 
 Responsibilities
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Work with key stakeholders to understand the underlying business needs and formulate the needs into discrete, manageable problems with well-defined measurable objectives and outcomes.
 </li>
 <li>
 Transform formulated problems into implementation plans by defining success metrics, applying/creating the appropriate methods, algorithms, and tools, as well as delivering statistically valid and reliable results.
 </li>
 <li>
 Write robust, reusable, and extensible code to support analysis and modeling.
 </li>
 <li>
 Develop new ML and GenAI based models using advanced statistical, ML and LLM techniques.
 </li>
 <li>
 Lead the evaluation of various GenAI based solutions, diagnosing issues and identifying root causes to support potential fine-tuning or reinforcement learning based fixes.
 </li>
 <li>
 Use AI-powered tools in your daily work to accelerate coding, analysis, and other tasks.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Qualifications
 
 
 
 Required/Minimum Qualifications (RQs/MQs)
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research)
 </li>
 <ul>
 <li>
 OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research)
 </li>
 <li>
 OR equivalent experience.
 </li>
 </ul>
 <li>
 Expertise in Python , PySpark, and SQL, LLMs
 </li>
 <li>
 Exposure to ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
 
 </li>
 </ul>
 
 Additional Or Preferred Qualifications (PQs)
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Machine Learning, Data science, Mathematics, Statistics, Computer Science, or related field AND 5+ years related experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
 </li>
 <ul>
 <li>
 OR master&rsquo;s degree in data science, Mathematics, Statistics, Computer Science, or related field AND 4+ year(s) related experience
 </li>
 <li>
 OR Doctorate in Data Science, Mathematics, Statistics, Computer Science, or related field AND 3+ year(s) related experience
 </li>
 </ul>
 <li>
 Experience in Spark and ability to write/maintain/understand declarative Spark code and to cleanly write and maintain SQL. Knowledge of finer operational aspects of Spark such as setting optimal cluster size, executor memory, number of executors etc. and experience in Azure Synapse/Databricks (or similar).
 </li>
 <li>
 Expertise in ML development platforms such as Azure Machine Learning, Azure AI Foundry + Azure OpenAI
 </li>
 <li>
 1+ year(s) experience creating publications (e.g., patents, peer-reviewed academic papers).
 
 </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 
 
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 
 requesting accommodations.
 
</div>

Data & Applied Scientist II

AB InBev GCC India

<div>
 
 
 Dreaming big is in our DNA. It&rsquo;s who we are as a company. It&rsquo;s our culture. It&rsquo;s our heritage. And more than ever, it&rsquo;s our future. A future where we&rsquo;re always looking forward. Always serving up new ways to meet life&rsquo;s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together &ndash; when we combine your strengths with ours &ndash; is unstoppable. Are you ready to join a team that dreams as big as you do?
 
 
 
 
 
 
 
 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 Description
 
 
 
 
 
 
 
 Job Title:
 
 Junior Data Scientist
 
 
 
 Location:
 
 Bangalore
 
 
 
 Reporting to:
 
 Senior Data Scientist
 
 
 
 
 
 
 
 
 
 1. Purpose of Role
 
 
 
 
 
 
 The Junior Data Scientist will support the development of analytical solutions that enable data-driven decision-making across the organization. The role focuses on building foundational skills in Python, SQL, and core data science workflows. It involves working closely with senior team members to prepare data, develop basic models, perform exploratory analysis, and contribute to documentation and reproducibility. This position is designed for individuals who can learn quickly, collaborate effectively, and apply structured problem-solving to business challenges.
 
 
 
 
 
 
 2. Key Tasks and Accountabilities
 
 
 
 
 
 <ul>
 <li>
 Assist in developing data science models and analytical components using Python with working knowledge of syntax, data structures, and foundational libraries such as pandas and numpy
 </li>
 <li>
 Conduct exploratory data analysis, basic feature creation, and initial statistical checks under the guidance of senior team members
 </li>
 <li>
 Write clean, readable, and well-organized code while following best practices shared by the team
 </li>
 <li>
 Collaborate with cross-functional teams to understand data needs, gather requirements, and support translation of business questions into analytical tasks
 </li>
 <li>
 Work with existing codebases to understand workflow logic, make incremental enhancements, and support maintenance tasks
 </li>
 <li>
 Use version control tools like Git for basic code commits, branching, and collaboration.
 </li>
 <li>
 Write simple to intermediate SQL queries to extract and prepare data from relational databases
 </li>
 <li>
 Support documentation of processes, datasets, code logic, and outputs for future use
 </li>
 <li>
 Learn and adopt standard development and data science methodologies including model evaluation, reproducibility, and simple automation of tasks
 </li>
 <li>
 Participate in team learning initiatives, staying curious about new tools, techniques, and best practices in analytics
 </li>
 </ul>
 
 
 
 
 
 3. Qualifications, Experience and Skills
 
 
 
 
 
 
 
 Education:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science, Information Systems, Mathematics, Statistics, Engineering, or a related discipline.
 </li>
 </ul>
 
 
 
 
 
 Experience:
 
 
 
 
 
 <ul>
 <li>
 1&ndash;3 years of experience in data science, analytics, or related technical roles, preferably with exposure to hands-on projects, internships, or academic assignments involving Python and data analysis.
 </li>
 </ul>
 
 
 
 
 
 Mandatory Skills:
 
 
 
 
 
 <ul>
 <li>
 
 Python Programming (Beginner to Intermediate):
 
 </li>
 <li>
 Basic proficiency with syntax, data structures, and use of core libraries such as pandas and numpy.
 </li>
 <li>
 
 Data Science Foundations:
 
 </li>
 <li>
 Understanding of descriptive statistics, basic model-building concepts, and feature preparation.
 </li>
 <li>
 
 SQL (Beginner to Intermediate):
 
 </li>
 <li>
 Ability to write queries for data extraction and manipulation.
 </li>
 <li>
 
 Version Control (Git):
 
 </li>
 <li>
 Familiarity with commits, branches, and collaborative code workflows.
 </li>
 <li>
 
 Code Adaptability:
 
 </li>
 <li>
 Ability to read and understand existing code and make minor enhancements.
 </li>
 </ul>
 
 
 
 
 
 Preferred (Good to Have) Skills
 
 
 
 
 
 <ul>
 <li>
 Exposure to Object-Oriented Programming (OOP) concepts in Python
 </li>
 <li>
 Basic knowledge of model evaluation techniques or lifecycle stages
 </li>
 <li>
 Awareness of test-driven development principles
 </li>
 <li>
 Experience with Jupyter notebooks, dashboards, or simple automation scripts.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 And above all of this, an undying love for beer!
 
 
 
 
 We dream big to create future with more cheers
 
 .
 
</div>

Junior Data Scientist

Explore 347+ Consultant data science in Mangaluru India this January. Find roles across top companies and apply now to boost your career.

347 consultant data science jobs IN Mangaluru India

Consultant, Data Science

Consultant Data Science

Consultant Data Science

Sap Sales Distribution Consultant

Data Scientist

Data & Applied Scientist II

Junior Data Scientist