Total 11 science rd research job vacancies in Information Technology category in Bengaluru

Essential Duties and Responsibilities
Including, but not limited to the following:
Support the day-to-day data needs of internal clients by:

• Clarifying requests as needed
• Preparing the data
• Performing list matches using a mixture of in house developed tools and MS Excel
• Reporting upon the results

Work directly with internal clients on the above

Competencies

• Attention to detail – must be able to review and flag any errors or inconsistencies in data
• Communication – must be able to effectively communicate across departments and teams – with clients, sales, operations, and programming
• Problem-solving – must be able to resolve issues, brainstorm, and problem-solve across teams

Knowledge, Skill, Ability:

• Advanced Excel – the ability to develop PivotTables/Charts as well as complex formulas
• Candidates must be customer service oriented with a positive, can-do attitude
• Organized, self-motivated, and self-directed
• Strong understanding of data structure and management
• Excellent interpersonal communication skills – both verbal and written
• Exceptional ability to multi-task and balance multiple projects and priorities
• Exceptional time management, organizational skills, attention to detail and ability to multitask
• Excellent attention to detail and commitment to accuracy and integrity of information
• Experience working within a market research company or other type of quantitative research organization desirable, but not required
• Knowledge of SQL would be an advantage in future career progression

Job Description

Roles & Responsibilities

• Understand the analytical problem by assessing available data sources and data sets
• Solve the business problem - identify factors, test hypotheses, conduct EDA, design solution and outputs
• Evaluate relevant anaytical techniques, identify, execute and iterate on the same
• Analyze, assess findings, generate insights and present recommendations through reports/dashboards/excel/presentations
• Independently plan and execute key projects including last mile to delivery
• Independently handle client communications and proactively share regular updates to all stakeholders
• Ensure delivery of all outputs maintaining quality and timeline expectations
• Be accountable and diligent in following aligned processes and be a good team player

 

2-8 years of experience in commercial software development & data science for medium to large scale deployments. Must have worked on multi domain and wide range of technologies and hands-on on leading technologies. Quick learner and passionate to drive the programs through technical strengths.Tasks

• Research & Development of Algorithms in the area of ML, NLP, NLU and Text Analytics
• Work closely with the research & product teams to investigate the approach & develop professional grade software for Business Units
• Study & extend the Open-Source frameworks in ML & NLP, Analytics for suitable requirements.
• Grasp and learn from the on-job assignments in the area of research, suggest innovative approaches & work independently.
• Own the complete pipeline with Data Engineering activities.
• Benchmarking with SOTA models and extend/improve the results by closely working with domain experts and senior researchers.

Requirements

• In Depth knowledge of Machine Learning Algorithms and that are used in NLP and NLU
• Conceptual and hands on experience in using and implementing Deep Learning architectures like CNN, RNN and its various flavors.
• Strong knowledge in Data Structures
• Expert in Production Deployment and Development using python
• In depth knowledge of python libraries like NumPy, SciKit, Pandas etc.
• Production experience on know-how of SDLC/Agile development
• Strong Mathematics w.r.t Machine Learning and Deep Learning
• Experience in extending functionalities from Open-Source projects.
• Experience in working as or along with Research Team shall be an added advantage.

Technical Skills and Competency:

• Excellent in Python programming skill is a MUST.
• Hands on experience in Python in Production is mandatory.
• R knowledge would be an added advantage.
• Experience in NLTK, Spacy, Spark ML shall be an added advantage.
• Knowledge of Web-Services/SoA/RESTful Services and Semantics shall be an added advantage.
• Excellent Communication and Interpersonal skills
• Fundamentals of Generative AI and Experience with LLMs & RAG would be a big plus.

 

Looking for a Senior Python Developer with hands on experience in working with large stock analysis data sets with Python and Pandas. Prior experience with Technical Analysis or any Trading domain will be great. 

For immediate hiring - must be able to start next week. 

Remote work is OK.

Who we are looking for?

At Epsilon, our people use real human insights to find solutions that empower some of the biggest brands in the world. Our team is now growing, and we are on the lookout for talented individuals who use descriptive, predictive and prescriptive analytics to impact consumer behaviour every day.

So, are you someone who enjoys leading conversations with influential stakeholders to help clients understand the value of their investments? Then you could be exactly who we are looking for.

Apply today and be part of a creative, innovative and talented team who constantly share insights, solve problems and create the remarkable.

What you’ll do?

The Digital Analytics team in the Client Analytics Group works on client engagements and related delivery for People Cloud Prospect & Discovery environments. The team also partners with client consulting team and platform team and data providers, leveraging analytics and data science to drive strategic thought and effective decision making. The Manager, Data Science is responsible for delivery from multiple client accounts by working with Data Scientists and managing analytic initiatives from conception to completion, providing clients and key stakeholders actionable results and insights that help them achieve their business objectives

Roles & Responsibilities:

Operational

• Serve as project lead on most types of analyses performed by the group – develop project plans and manage work efforts of supporting team members
• Assess client business and marketing challenges, as well as data assets, and recommend the most appropriate analytic methodology to meet client goals
• Manage multiple projects and client accounts simultaneously, while serving as the primary point of contact with the Epsilon account team and clients
• Monitor project resources and track progress against task plans to ensure on-time and on-budget project delivery
• Document communication with clients to manage expectations and negotiate deadlines
• Present analytic findings and statistical results to account teams and clients
• Participate in project design, planning and execution, and provide pre-sales support and run proof of concept (POC) for account / sales teams
• Ability to perform hands-on analysis on large volumes of customer’s first-party data and third-party data to provide statistically valid analysis and related outputs
• Design and Implement Machine learning models using Spark ML and Python/Pyspark
• Own end to end implementations of Marketing machine learning models such as Customer Segmentation, Propensity models, CLTV etc.
• Create engaging and meaningful data visualizations / power point presentations of findings linked to clear client business impact.

Functional

• Lead, manage, mentor and train a team of 10+ Data Scientists to implement the organizations vision and the roadmap with the help of the team members
• Provide thought leadership to improve existing processes and incorporate new processes to help team deliver exceptional analytical solutions
• Ensure that your team is engaged and motivated to excel in their roles and are being productively utilized on billable projects
• Guide your team to follow all policies and procedures for programming, project documentation and other processes as defined by the organisation
• Become proficient with Epsilon data assets
• Be an active learner - learn new and state of the art tools, technologies, algorithms and methodologies to be at the edge of data science learnings
• Collaborate well with cross-functional internal teams as needed to drive results

• Lead, mentor and manage a team of data scientists, machine learning engineers, and researchers
• Define OKRs and roadmaps for the team aligned with business goals
• Oversee the end-to-end development of machine learning models and data products, ensuring high quality standards
• Stay up-to-date on advances in AI/ML and lead integration of appropriate new technologies
• Implement processes for rigorous testing, validation and monitoring of machine learning models
• Identify and facilitate professional growth and skill development within the team
• Provide technical guidance to the team and set standards for innovation
• Balance delivery of rapid value with investment in innovative but high-impact solutions
• Collaborate cross-functionally with business, product, and engineering teams to identify and execute on AI/ML opportunities
• Manage workloads and provide prioritization guidance to optimize efficiency
• Establish success metrics and regularly report progress to executives

Job Description

Roles & Responsibilities

• 3 + years in Analytics
• Strong SQL background ( Must Have, To be evaluated using a written SQL Test)
• Strong communication ( Must have)
• Analytics Problem solving skills
  • People with Marketing Analytics/CRM Analytics background ( Nice to Have)
  • BFSI Background ( Nice to have)
• Ideally we are looking for folks who can translate business problems to analytics problem, extract the required data from various databases, do the analysis and be able to present it to the client
  • We don’t necessarily need folks with Advanced Modeling experience

In office Role (Individual Performer)

Our employees are a true differentiator for Freshworks. We continue to grow at a rapid pace and are on the lookout for a Staff Data Scientist to join our growing Go-To-Market (GTM) Strategy & Operations team. The StratOps Data Insights & AI team is a new function that empowers Go-To-Market (GTM), Corporate Strategy, Finance, Marketing, and Executive Management to leverage predictive analytics and artificial intelligence (AI) to uncover actionable insights, develop ML models to guide GTM and other business teams, and gain predictive insights into the health and performance of the business.The primary objective of this team is to strive to help our customers achieve their goals while creating   “wow” moments of engagement. We have a lot of fun doing that as well.

This role will play a critical role in supporting our marketing, sales, finance, corporate strategy, executive stakeholders, and other support functions by leveraging data, research, and artificial intelligence to drive actionable insights, optimize strategies, and enhance customer experiences.

Job Responsibilities

1. **Innovative Research**: Leading cutting-edge research projects in data science.

2. **Strategic Thinking**: Contributing to the strategic direction of data science within the organization.

3. **Thought Leadership**: Earning trust of business stakeholders and executives. And promoting Decision Science with industry best practices.

4. **Data Strategy**: Developing and implementing data science and actionable insights strategies for the organization.

5. **Team Leadership**: Managing and mentoring data science teams.

6. **Cross-Functional Collaboration**: Collaborating with other departments to drive business outcomes.

7. **Data Product Development**: Leading the development of data-driven products.

8. **Advanced Domain Knowledge**: Deep expertise in a specific industry or domain (e.g. Sales, Marketing (GTM), Product Led Growth, Advanced Forecasting, Sentiment Analysis, and Natural Language Processing etc.)

9. **Ethics and Compliance**: Ensuring ethical and compliant use of data.

10. **Business Acumen**: Strong understanding of the business and its challenges.

Job Description

Job Description

Good knowledge of advanced statistical methods (automotive or manufacturing domain will be an added advantage). Mine and analyze data, applying statistical methods as necessary, pertaining to customers’ discovery and viewing experiences to identify critical product insights.
• Experience in creating statistical models and/or optimization frameworks for improving processes/products/profits
• Proactively develop new metrics and studies to quantify the value of different aspects of product.
• Translate analytic insights into concrete, actionable recommendations for business or product improvement.
• Partner closely with product and engineering leaders throughout the lifecycle of project. Ensure that necessary data is captured; analytic needs are well-defined up front and coordinate the analytic needs.
• Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization.
• Should have independently handled a project technically and provided directions to the other Team Members.
• Experience in turning ideas into actionable designs.
• Able to persuade stakeholders and champion effective techniques through development.
• Ongoing technical authority role with our larger customers.
• Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company.
• Able to lead the project independently.
• Technical directions to junior in team, like to sort the respective task for responsible team members

·   Should be able to interact with different stakeholders and should be able to identify key business problems for which AI/ML solutions will be a value add

·   Should have the ability to explain solution outcome to different stakeholders who does not belong to AI/ML domain

·   Should have practical experience in deploying, productionizing, and scaling AI/ML solutions for real industrial use cases

·   Should be a team player and expected to lend support to critical topics quickly

·   Should be communicative and be vocal about the problem statements/PoCs worked in public domain (social media, publications, white paper, blog etc.)

·   Prior work experience on AI/ML solutioning in mobility domain and innovation centric outlook (creating IPs etc.) will be a nice value addition to the role

·   Should be an avid learner and should be willing to explore next gen technologies beyond data science e.g. Blockchain, Automation, quantum computing  etc.

 

 

 

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Technical Skills

·        Expertise in following scripting languages;

·        Python, R, Tensorflow, Keras, Pytorch ,

·        OpenNLP, WordNet, NLTK, OpenCV

·        Tech savy and willing to work with open-Source Tools

·        Applying statistical and machine learning techniques, such as, mean-variance, k-means, nearest-neighbor, support vector, Bayesian time-series and network analysis to identify outliers, classify events or actors, and correlate anomalous sequences of events.

·        Proven track record and experience with statistical modeling/data mining algorithms such as

·        Multivariate Regression, Logistic Regression, clustering algorithms, Support Vector Machines, Decision Trees etc

·        Machine learning, deep learning, graph mining.

·        DOE, Forecasting, Segmentation, Uncertainty Analysis etc.

·        Data Mining i.e. Text Mining, Classification Methods – SVM, NN, etc

·        Vector Space model for Unstructured Text to Sentiment Analysis, Association Mining, Semantic Analysis

·        Preparation of customer proposals for AI-ML and cognitive automation topics

·        Design conceptual and logical data models and flowcharts

·        Analyze structural requirements for new software and applications

·        Architecting design solutions for AI-ML and cognitive automation

·        Proven analytical skills and   Problem-solving attitude

·        Customer interface and Support during Project acquisitions

·        Responsible to setup COE and contribution to innovations relevant to future product and platform designs

·        Team mentoring and Upskilling of Junior associates

·        Know how of Big data Engineering and ML Ops would be preferred

·        Minimum of 8 to 10yrs of experience in Datascience analytics projects

·        Should have led digital transformation projects for clients

·        Should have hands on experience in building products and platforms in Datascience

 

Funding Societies | Modalku is the largest SME digital financing platform in Southeast Asia. We are licensed in Singapore, Indonesia, Thailand, and registered in Malaysia. We are backed by Sequoia India and Softbank Ventures Asia Corp amongst many others and provides business financing to small and medium-sized enterprises (SMEs), which is crowdfunded by individual and institutional investors. And here at Funding Societies | Modalku we live by our core values:

• Serve with Obsession: Build win-win relationships for the long-term by having a customer obsession.
• Grow Relentlessly: Strive to become our best, most authentic selves.
• Enable Teamwork, Disable Politics: Only by forging togetherness, we help each other succeed.
• Test Measure Act: Stay curious and reinvent ourselves, through innovation and experimentation.
• Focus on Impact: Create impact through bias for action and tangible results.

We are seeking a highly motivated and skilled Data Science Intern to join our dynamic team at Funding Societies. You will have the opportunity to work with a diverse team of experts in a collaborative and innovative environment. In this role, you will be responsible for analyzing large and complex datasets, developing predictive models, and providing insights that drive business decisions.

What will you do:

• Develop and implement machine learning algorithms for predictive modeling and data analysis
• Analyze and interpret complex data to identify trends, patterns, and insights
• Collaborate with cross-functional teams to identify opportunities to improve business performance
• Design A/B testing experiments to evaluate the effectiveness of new products, features, and marketing campaigns
• Research best practices and methodologies in the field of fintech, AI, and machine learning

What we are looking for:

• Currently pursuing or recently completed a degree in data science, computer science, statistics, mathematics, or a related field
• Strong analytical and problem-solving skills
• Proficiency in Python, SQL, and data visualization tools
• Knowledge of machine learning techniques and their applications in fintech
• Excellent communication and collaboration skills
• Ability to work independently and manage multiple projects simultaneously

- Follow Tesco's Business Code of Conduct and always act with integrity and due diligence - Engage with markets to understand problems to be solved; translate the business problems to analytics problems; taking ownership of specified analytical modules; guide team to solve them; and translate the answers back to decision makers in business terms - Implement analytics projects that will result in disproportionately high value delivery - Develop analytical assets that are deployed in production environment and will deliver value on sustained periods of time - Drive efficiency gains by automating repeatable tasks; report creation or dashboard refresh - Collaborate and guide colleagues to craft; implement and measure analytical solution - Accountable for high quality and timely completion of specified work deliverables - Write codes that are well detailed; structured; and compute efficient - Contribute to development of knowledge assets and reusable modules on GitHub/Wiki - Driving CI culture; implementing CI projects and innovation for withing the team - Process Mapping Tools and Techniques; Problem Solving and Process Coaching