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director data scientist

MakeMyTrip

<div>
 Job Title: Director &mdash; Data Scientist
 
 
 Location: Bengaluru
 
 
 Experience: 14+ Years
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Build end to end DS/AI/ML solutions.
 </li>
 <li>
 Own analyses, model training, deployment, business impact A/B evaluation, and subsequent iterations, for best-in-class data science models.
 </li>
 <li>
 Primary focus on dynamic pricing and discounting modules for various lines of business (flights, hotels, domestic, international, B2C meta) and potentially other products of both brands MakeMyTrip and GoIbibo.
 </li>
 <li>
 Work with stakeholders at various stages of the project, lead project development.
 </li>
 <li>
 Conduct iterative experiments, demonstrating incremental lift in business metrics due to AI/ML initiatives.
 </li>
 <li>
 Improve the system quality with best-in-class models and engineering tech.
 </li>
 <li>
 Opportunity to work with large click stream e-commerce data sets, at MakeMyTrip, GoIbibo, and TripMoney FinTech.
 </li>
 <li>
 Build and own robust data science APIs meeting 99% SLA at very high RPS. Also, ensure training/inference MLOps rigour.
 </li>
 <li>
 Show business impact while having the opportunity to build best-in-class AI/ML models.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in CS, EE, Mathematics, Statistics, Engineering technical field, or equivalent practical experience.
 </li>
 <li>
 A minimum of 14-18 years of experience (minimum of 10 years with a Ph. D. ) in applied DS /AI/ ML.
 </li>
 <li>
 Production experience in AI/ML Modelling, Pricing, discounting, recommendation systems and personalization.
 </li>
 <li>
 Production experience in price elasticity modeling or causal uplift modeling with combinatorial optimization is a plus.
 </li>
 <li>
 Production experience in contextual bandits and off-policy reinforcement learning methods is big plus.
 </li>
 <li>
 Production experience in sequential/incremental learning systems is a plus.
 </li>
 <li>
 Preferably, has worked in e-commerce.
 </li>
 <li>
 Experience with applying machine learning techniques to big data systems (e. g., Spark or Spark SQL) with TB to PB scale datasets.
 </li>
 <li>
 If one has a Ph. D, it should be in a quantitative field with strong/relevant experience for the problems mentioned above.
 </li>
 <li>
 Keen aptitude to learn and experiment with AI/ML adoption across various use cases.
 </li>
 <li>
 Experience with large-scale A/B testing systems, especially in the domain of online advertising or online commerce.
 </li>
 </ul>
</div>

Director - Data Scientist

Snapmint

<div>
 
 
 Job Description: Data Scientist &ndash; Credit Risk Team
 
 
 
 
 
 
 
 About the Role
 
 
 
 We are hiring a
 
 Data Scientist
 
 to own
 
 end-to-end credit underwriting models
 
 for a high-scale
 
 fintech product
 
 . This role spans
 
 model development, real-time deployment, monitoring, and continuous improvement
 
 , directly impacting approval rates, fraud, credit losses, and GMV.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 Credit Underwriting &amp; Modeling
 
 
 <ul>
 <li>
 Build and maintain
 
 credit risk models
 
 using
 
 Logistic Regression, XGBoost / LightGBM and deep learning
 
 </li>
 <li>
 Design underwriting strategies for
 
 NTC (New-to-Credit)
 
 users using alternative &amp; behavioural data
 </li>
 <li>
 Balance
 
 credit risk, fraud risk, and conversion
 
 in checkout flows
 </li>
 <li>
 Design
 
 real-time features
 
 with strict latency SLAs (&lt;100 ms):
 </li>
 <li>
 Velocity &amp; frequency features
 </li>
 <li>
 Rolling window aggregates
 </li>
 <li>
 Behavioural &amp; transactional signals
 </li>
 <li>
 Implement
 
 incremental / online feature updates
 
 (mean, std, EWMA, decay)
 </li>
 <li>
 Ensure
 
 training&ndash;serving feature parity
 
 using feature stores or custom pipelines
 </li>
 <li>
 Partner with Risk teams to define:
 </li>
 <li>
 Score cut-offs, bands, and guardrails
 </li>
 <li>
 Policy rules layered over ML models
 </li>
 </ul>
 
 
 
 
 
 Experimentation &amp; Business Impact:
 
 
 <ul>
 <li>
 Measure impact on:
 </li>
 <li>
 Approval rate
 </li>
 <li>
 FPD &amp; delinquency
 </li>
 <li>
 Portfolio loss &amp; margins
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For:
 
 
 <ul>
 <li>
 
 2&ndash;6+ years
 
 experience in
 
 Credit Risk / Lending / Cards
 
 </li>
 <li>
 Strong hands-on experience with
 
 Python &amp; SQL
 
 </li>
 <li>
 Experience with
 
 credit bureau data
 
 (CIBIL / Experian / Equifax)
 </li>
 </ul>
 
 
 
 
 
 Location :
 
 Bangalore
 
 
 
 Working Days:
 
 Monday to Friday.
 
</div>

Data Scientist

Crescendo Global

<div>
 
 
 Senior Data Scientist &ndash; Machine Learning (Traditional Models)
 
 
 
 Experience - 6 to 10 years
 
 
 Location -
 
 Bangalore/Noida/Gurugram/Pune
 
 
 
 
 
 
 
 Fraud Analytics (LTC Claims)
 
 
 
 
 Role Summary
 
 
 
 We are seeking a
 
 Senior Data Scientist (6&ndash;10 years of experience)
 
 to support a
 
 fraud analytics initiative focused on Long‑Term Care (LTC) insurance claims
 
 . This is a
 
 client‑facing role
 
 requiring strong analytical expertise, hands‑on modeling experience, and the ability to independently drive analysis, present insights, and collaborate with stakeholders.
 
 
 The ideal candidate will have a solid foundation in
 
 statistical modeling and hypothesis testing
 
 , combined with deep rooted experience in
 
 tree‑based and ensemble machine learning models
 
 , and cloud‑based data platforms.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy
 
 fraud detection models
 
 for LTC insurance claims using statistical and machine learning techniques
 </li>
 <li>
 Perform
 
 exploratory data analysis (EDA)
 
 , feature engineering, and hypothesis testing to identify fraud patterns and anomalies
 </li>
 <li>
 Build, evaluate, and optimize
 
 traditional statistical models
 
 as well as
 
 tree‑based models
 
 such as Random Forest, XGBoost, CatBoost, LightGBM etc.
 </li>
 <li>
 Independently conduct
 
 data analysis, research, and model experimentation
 
 , and translate findings into actionable insights
 </li>
 <li>
 Write clean, efficient, and production‑ready code using
 
 Python and SQL
 
 </li>
 <li>
 Work extensively with
 
 large datasets
 
 using cloud platforms, primarily
 
 Google Cloud Platform (GCP)
 
 </li>
 <li>
 Query and manage data using
 
 BigQuery
 
 , and handle datasets stored in
 
 Cloud Storage (Buckets)
 
 </li>
 <li>
 Use
 
 Git
 
 for version control, collaboration, and code review
 </li>
 <li>
 Prepare clear, concise, and impactful
 
 presentations for clients
 
 , explaining analytical findings to both technical and non‑technical stakeholders
 </li>
 <li>
 Collaborate with business, data engineering, and client teams to ensure models align with fraud investigation and business objectives
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 
 6&ndash;7 years of hands‑on experience
 
 in data science, analytics, or applied machine learning
 </li>
 <li>
 Strong understanding of statistical modeling, probability concepts and hypothesis testing
 </li>
 <li>
 Proven experience with
 
 tree‑based and ensemble machine learning models
 
 (RF, XGBoost, CatBoost, LightGBM)
 </li>
 <li>
 
 Expert‑level SQL
 
 for data extraction, transformation, and analysis
 </li>
 <li>
 
 Strong Python skills
 
 for data analysis and modeling
 </li>
 <li>
 Experience using
 
 Git
 
 for source code management
 </li>
 <li>
 Solid exposure to
 
 cloud‑based analytics environments
 
 , preferably Google Cloud Platform (GCP), BigQuery and Cloud Storage
 </li>
 <li>
 Ability to
 
 work independently
 
 , manage deliverables, and drive tasks end‑to‑end
 </li>
 <li>
 Excellent
 
 verbal and written communication skills
 
 , essential for a client‑facing role
 </li>
 </ul>
 
 
 
 
 
 Candidate Profile
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master's degree in economics, statistics, mathematics, computer science/engineering, operations research or related analytics areas
 </li>
 <li>
 Strong
 
 data analysis experience
 
 with complex, real‑world datasets
 </li>
 <li>
 Superior
 
 analytical thinking and problem‑solving skills
 
 </li>
 <li>
 Outstanding
 
 written and verbal communication skills
 
 , with confidence in client interactions
 </li>
 </ul>
 
 
</div>

Data Scientist (Machine learning - XG boost) (Multiple locations)

SkilloVilla

<div>
 
 
 About the Job
 
 
 
 We are looking for a Data Scientist proficient with AI/ML/NLP/CV/GenAI. Your primary focus will be designing and developing curriculum for our new AI focused programs.
 
 
 
 
 
 
 Location: Bengaluru (Work from Office)
 
 
 
 
 Duration: 6 Months + PPO (based on performance)
 
 
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Certificate of Internship
 </li>
 <li>
 Competitive compensation
 </li>
 <li>
 An opportunity to
 
 convert the internship to a full-time role
 
 </li>
 <li>
 Get
 
 mentoring from the COO and CTO
 
 </li>
 <li>
 Work in an agile environment on quality problems
 </li>
 </ul>
 
 
 
 
 
 Roles and Responsibilities
 
 
 <ul>
 <li>
 Work closely with program managers and industry experts to design and evolve the Data Science curriculum, with a specific focus on
 
 ML/DL/GenAI/NLP/CV
 
 .
 </li>
 <li>
 Design and build high-quality learning products that are focused on
 
 real-world applications and employment
 
 .
 </li>
 <li>
 Collaborate cross-functionally with teams to ensure a seamless development process for
 
 course materials and related content
 
 (video lectures, reading materials, problem statements, case studies).
 </li>
 <li>
 Stay updated with the latest
 
 trends and industry developments in Data Science
 
 to ensure the curriculum remains relevant and up-to-date.
 </li>
 <li>
 Manage and track student progress through assignments, quizzes, and other assessments.
 </li>
 </ul>
 
 
 
 
 
 Skills Required
 
 
 
 
 
 Bare Minimum
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of Data Science, specifically in areas such as ML, DL, and NLP, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: BCA or BTech in AI, ML, Data Science, Engineering, or relevant fields. Freshers are welcome to apply.
 </li>
 <li>
 Programming: Hands-on experience with Python (pandas, numpy, scipy, matplotlib), including DSA, and knowledge of popular ML frameworks like TensorFlow or similar.
 </li>
 <li>
 Communication: Strong written and verbal communication skills in English.
 </li>
 </ul>
 
 
 ﻿
 
 Recommended
 
 
 
 <ul>
 <li>
 Knowledge: A solid understanding of GenAI and CV, with practical project development experience in these areas as well.
 </li>
 <li>
 Education: MTech or MSc with upto 1 year of experience in building AI solutions.
 </li>
 <li>
 Programming: Knowledge of DSA and backend development (FastAPI) using Python.
 </li>
 <li>
 Learning Capabilities: A passion for rapid learning and the ability to quickly adapt to new tools, techniques, and technologies, even when unfamiliar.
 </li>
 </ul>
 
 
 
 
 
 Ready to showcase your talents?
 
 
 
 
 Submit your resume, and let us see what you'vs got!
 
 
</div>

Data Science Curriculum Intern

<div>
 
 HP
 
 is the world&rsquo;s leading personal systems and printing company, we create technology that makes life better for everyone, everywhere. Our innovation springs from a team of individuals, each collaborating and contributing their own perspectives, knowledge, and experience to advance the way the world works and lives.
 
 
 This is an opportunity to join HP Inc team responsible for Statistical Forecasting &amp; analytics for Personal Systems (Worldwide: Americas, Europe &amp; Asia. The team works closely with various business units, regions, functions across multiple domains and design and
 
 develop Tools/solutions for Business problems
 
 .
 
 
 
 If You Are Our Data Scientist In India
 
 
 
 <ul>
 <li>
 We are looking for a Full-Stack Data Science professional to join our growing Personal Systems- Statistical Forecasting &amp; analytics COE team. In this role, you will work closely with senior data scientists and SMEs to build, enhance, and maintain scalable ML based web applications/solutions in Demand Planning and Supply chain domain.
 
 
 </li>
 </ul>
 
 Required Skills &amp; Qualifications
 
 
 
 <ul>
 <li>
 2 to 6 Years of total experience .
 </li>
 <li>
 Bachelor&rsquo;s degree in computer science, Engineering, or a related field (or equivalent practical experience)
 </li>
 <li>
 Basic understanding of Machine Learning / AI Agents concepts and Statistics.
 </li>
 <li>
 Basic understanding of HTML, CSS, and JavaScript.
 </li>
 <li>
 Familiarity with at least one front-end framework such as React or Angular.
 </li>
 <li>
 Basic knowledge of a backend language such as Java, Node.js, Python.
 </li>
 <li>
 Visualization skills: Power BI/Tableau would be preferable.
 </li>
 <li>
 Database: MS SQL/Oracle SQL
 </li>
 <li>
 Exposure to Cloud solutions like AWS/Microsoft Azure will be an added advantage
 </li>
 <li>
 Ability to design analytics solutions, simulation, modelling to address business problems.
 
 
 </li>
 </ul>
 
 Are you a high- performer? We are looking for an individual with.
 
 
 
 Sustainable impact is HP&rsquo;s commitment to create positive, lasting change for the planet, its people, and our communities. This serves as a guiding principle for delivering on our corporate vision &ndash; to create technology that makes life better for everyone, everywhere.
 
 
 HP is a Human Capital Partner &ndash; we commit to human capital development and adopting progressive workplace practices in India.
 
 
</div>

LSEG

<div>
 The Markets Pricing team plays a critical role in supporting the Digital &amp; Securities Markets business by crafting and driving commercial strategies across the product lifecycle&mdash;including ideation, development, launch, and ongoing management. The team also owns the development of analytics to inform and improve these strategies.
 
 
 This role will work closely with senior business leaders and product development teams to design and implement a balanced and competitive commercial policy. It offers a direct opportunity to influence the commercial performance of the division.
 
 
 Reporting to the Senior Manager, Markets Pricing, the
 
 Data Scientist
 
 will be instrumental in building and maintaining a robust analytical framework passionate about commercial performance and pricing strategy.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Creating and evolving pricing structures in support of business and commercial objectives
 </li>
 <li>
 Analysing and assuring the competitiveness of existing pricing structures
 </li>
 <li>
 Providing information and analysis on clients&rsquo; behaviour
 </li>
 <li>
 Monitoring the impact of LSEG pricing initiatives on clients and market quality
 </li>
 <li>
 Analysing competitors&rsquo; pricing initiatives
 </li>
 <li>
 Driving increased alignment in pricing structures across Capital Markets
 </li>
 <li>
 Effectively collaborate with business to provide high quality analysis to our stakeholders.
 </li>
 <li>
 Proactively identify, analyse and present commercial opportunities
 
 
 </li>
 </ul>
 SKILLS AND EXPERIENCE:
 
 
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Communication, Collaboration and Analytical skills
 </li>
 <li>
 Intermediate proficiency in data visualisation tool (Eg: Tableau)
 </li>
 <li>
 Intermediate proficiency in Python (NumPy, Pandas, Prophet, scikit-learn)
 </li>
 <li>
 Intermediate proficiency in SQL
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 At least 2-3 years of professional experience is desirable
 </li>
 <li>
 Understanding of financial markets a plus
 </li>
 <li>
 Knowledge of developing forecasting models a plus
 </li>
 <li>
 Prior experience in Data Science and Advanced Analytics a plus
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 Bachelor&rsquo;s Degree in Data Science or equivalent experience
 
 
 Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
 
 
 LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
 
 
 Our purpose is the foundation on which our culture is built. Our values of
 
 Integrity, Partnership
 
 ,
 
 Excellence
 
 and
 
 Change
 
 underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
 
 
 Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
 
 
 We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone&rsquo;s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
 
 
 You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it&rsquo;s used for, and how it&rsquo;s obtained, your rights and how to contact us as a data subject.
 
 
 If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
</div>

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Senior Consultant Tax Technology Consulting - Sirion - CLM
 
 
 
 The role of technology in legal functions is growing exponentially and allowing legal departments to transform how they improve their processes, increase efficiencies and transform the future of legal services delivery. If you are someone who thrives in navigating the growing legal transformation through a technology lens and partnering with passionate professionals to help companies achieve their objectives; then we would like to get to know you. Apply now!
 
 
 
 What You&rsquo;ll Do
 
 
 
 As a Senior Consultant in Deloitte&rsquo;s Legal Business Services function, you will be a part of a team that provides an integrated approach to technology implementations, automation, data wrangling and document extraction and data management and analytics that help legal departments maximize the strategic value to the organization. You will deliver services for companies that streamline their process and increase efficiency, leveraging numerous applications.
 
 
 This is a unique opportunity for you to join a team as it expands and help us position Deloitte as the clear legal technology leader.
 
 
 As a Legal Business Services Senior Consultant, you will contribute to the growth and success of Deloitte Tax LLP in a variety of way, including:
 
 
 <ul>
 <li>
 Client Management : Participate in the day-to-day interactions with client&rsquo;s project team members and Deloitte project leadership members.
 </li>
 <li>
 Delivery : Work with a team to optimize tax and legal processes, leveraging technology to align tax and legal software with the clients&rsquo; specific requirements and goals.
 </li>
 <li>
 Solutions: Work with a team to develop and leverage automation and innovative solutions to aid in the efficiency of tax and legal departments.
 </li>
 <li>
 Support : Provide training and software support around day-to-day activities, related to processes and various technologies or situational changes.
 </li>
 <li>
 Project Management : Assist with project management tasks, such as creating workplans, tracking budgeted time to actual hours incurred, writing status reports, and actively participating in status calls.
 </li>
 <li>
 Cross Functional Teaming : Understand and articulate the broader practice and Deloitte overall. Maintain relationships and serve clients holistically.
 </li>
 <li>
 People Development : Participate in the development of team members.
 </li>
 <li>
 Business Development : Participate in and contribute to pursuit teams.
 
 
 </li>
 </ul>
 
 The team
 
 
 
 At Deloitte Tax LLP, our Legal Business Services (LBS) practice helps legal departments pursue a streamlined, transparent, and efficient legal function that enhances the core responsibilities of operations, contracting, compliance, reporting and planning, while also positioning Deloitte as a strategic business advisor for the digital era. We specialize in advising legal departments and can effectively address a corporate legal function&rsquo;s unique needs, requirements and obligations. As legal operations and contracting specialists, we help clients make appropriate operations and technology choices. Our team, the largest of its type, offers the necessary combination of skills, methodology and practical experience to help clients with contract lifecycle management, legal entity management, and legal operations services.
 
 
 Deloitte LBS professionals are aligned across our global network of member firms to support our clients&rsquo; objectives and address their challenges. Our team&rsquo;s multi-disciplinary approach combines technical and technology skillsets, enabling greater impact and efficiency within our client&rsquo;s organization. LBS helps clients with operating model evaluation, roadmap development for a desired future state, data management solutions, automation opportunities, contract lifecycle management, legal entity management, and legal operating models. Learn more about Deloitte Legal Business Services.
 
 
 
 Qualifications
 
 
 
 
 Required:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Law, Information Technology, Computer Science, or a related field.
 </li>
 <li>
 6+ years of experience in CLM platform implementation, business process consulting, or technology advisory, with hands-on exposure to one or more leading CLM solutions (e.g., Icertis, DocuSign, Ironclad, SirionLabs, Conga, Agiloft, etc.).
 </li>
 <li>
 Trained and certified on Sirion Platform (Sirion L1, L2, L3 trained &amp; Certified, Sirion Certified CLM Specialist), At least 1-2 years of Sirion implementation experience for Global organizations.
 </li>
 <li>
 Demonstrated experience leading end-to-end CLM implementation projects, including facilitating client workshops, conducting stakeholder interviews, process mapping, solution designing, configuration, testing, deployment, and post-go-live support.
 </li>
 <li>
 Proven ability to manage project teams, coordinate deliverables, and mentor junior consultants.
 </li>
 <li>
 Experience with system integrations within CLM platforms (e.g., SSO, eSignature, ServiceNow, Salesforce)
 </li>
 <li>
 In-depth knowledge of contract management processes, template rationalization, playbook creation, and process harmonization.
 </li>
 <li>
 Experience implementing and driving value from advanced AI modules, including agentic and autonomous capabilities, within major CLM platforms.
 </li>
 <li>
 Familiarity with vendor selection processes, including RFP/RFI development, evaluation criteria, and comparative analysis of CLM platforms.
 </li>
 <li>
 Strong analytical and problem-solving skills, with the ability to resolve complex business and technical challenges and develop innovative solutions.
 </li>
 <li>
 Excellent client-facing, verbal, and written communication skills, including experience presenting to executive stakeholders.
 </li>
 <li>
 Strong project management and organizational skills, with a relentless focus on quality and timely delivery of work products.
 </li>
 <li>
 Ability to work collaboratively within a matrixed, multi-disciplinary team and across multiple time zones.
 </li>
 <li>
 Ability to perform job responsibilities within a hybrid work model that requires professionals to co-locate in person 2-3 days per week in respective office locations.
 </li>
 <li>
 Willingness to travel for client engagements as required.
 
 
 </li>
 </ul>
 
 Preferred:
 
 
 
 <ul>
 <li>
 Experience supporting legal teams or procurement teams with contract management
 </li>
 <li>
 Experience with document extraction tools, data wrangling tools such as Alteryx, and visualization/BI tools such as Power BI, Tableau or QlikView and others
 </li>
 <li>
 One of the following active accreditations obtained, in process, or willing and able to obtain:
 </li>
 <li>
 Licensed CPA in state of practice/primary office if eligible to sit for the CPA
 </li>
 <li>
 If not CPA eligible:
 </li>
 <ul>
 <li>
 Licensed Attorney (or foreign equivalent)
 </li>
 <li>
 Enrolled Agent
 </li>
 <li>
 PMP (Project Management Certification)
 </li>
 <li>
 Contract &amp; Commercial Management (CCM) Certification Program
 </li>
 <li>
 Certified Financial Analyst (CFA)
 </li>
 <li>
 PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Change Management Professional (CCMP)
 </li>
 <li>
 Certified Business Analysis Professional (CBAP)
 </li>
 <li>
 Procurement/Legal Procurement or SAS&reg; Certified Data Scientist
 </li>
 <li>
 Paralegal Certification with a 4-year degree
 </li>
 <li>
 Technical Certifications:
 </li>
 <ul>
 <li>
 Six Sigma (Black Belt and Green Belt)
 </li>
 <li>
 Microsoft Certified Solutions Developer (MCSD) Contract &amp; Commercial Management (CCM) Certification Program, PMI Agile Certified Practitioner (Project Management Institute-ACP)
 </li>
 <li>
 Certified Systems Engineering Professional (CSEP)
 </li>
 <li>
 The Information Systems Security
 </li>
 <li>
 Architecture Professional (CISSP-ISSAP)
 </li>
 <li>
 Certified Change Management Professional (CCMP) or SAS&reg; Certified Data Scientist
 </li>
 <li>
 DocuSign (Workflow Manager, E-signature, CLM, etc.)
 </li>
 <li>
 iCertis
 </li>
 <li>
 Onit Product Suite (Level 2 and above)
 </li>
 <li>
 Conga CLM
 </li>
 <li>
 Agiloft
 </li>
 <li>
 Sirion Labs
 </li>
 <li>
 Kira
 </li>
 <li>
 Thomson Reuters (Legal Tracker, High Q, or Contract Express),
 </li>
 <li>
 Wolters Kluwer Passport (Passport Legal Spend and Matter Management),
 </li>
 <li>
 Mitratech Team Connect and TAP
 
 </li>
 </ul>
 </ul>
 </ul>
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 318197
</div>

Senior Consultant - Tax-TTC- Sirion - Hyderabad/Bengaluru/Gurugram/Pune/Chennai/Mumbai/Kolkata

Explore 97+ Director data scientist in Bangalore Jobs In Mangaluru this February. Find roles across top companies and apply now to boost your career.

97 director data scientist jobs In Bangalore Jobs In Mangaluru

Director - Data Scientist

Data Scientist

Data Scientist (Machine learning - XG boost) (Multiple locations)

Data Science Curriculum Intern

Data Scientist

Data Scientist

Senior Consultant - Tax-TTC- Sirion - Hyderabad/Bengaluru/Gurugram/Pune/Chennai/Mumbai/Kolkata