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apac clinical science liaison (csl) – india Jobs in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru

apac clinical science liaison (csl) – india

clinical data scientist

Axtria - Ingenious Insights

<div>
 
 
 Core Responsibilities:
 
 As a Clinical Data Scientist, you will independently perform data analysis, data mining on various clinical trial data sources. You will develop, test, productionize and maintain AI/ML/GenAI models. You will leverage cloud-based solutions for scalable data processing and collaborate with cross-functional teams to deliver cutting edge data science solutions.
 
 
 
 
 
 
 Skills and Experience
 
 :
 
 
 
 
 
 
 Domain Experience:
 
 
 <ul>
 <li>
 Should have knowledge of Clinical R&amp;D domain with hands on experience on data sources from one more clinical business functions e.g. Clinical Operations, Biometrics, Drug Safety, Medical Affairs, Real-World Data (RWD), Laboratory data, Regulatory data sources etc.
 </li>
 <li>
 Should have good understanding and hands-on experience on curating, analyzing, and mining data from very clinical data sources e.g. CTMS, EDC, IRT, Labs, EHR kind RWD sources. Should have working knowledge of CDISC clinical data standards e.g. CDASH, SDTM, ADaM, FHIR etc.
 </li>
 </ul>
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficient in developing models with Python/PySpark. Experience with Databricks or Dataiku DSS (Data Science Studio) platforms would be an advantage. Highly skilled in creating, testing, deploying, and maintaining state of the art AI/ML/GenAI solutions.
 </li>
 <li>
 Skilled in statistical and probabilistic methods e.g. SVM, Decision-Trees, Bagging, Boosting, Clustering, Time Series Analysis etc. Experience in core NLP techniques e.g. Text Classification, Named Entity Recognition (NER), Topic Modeling, Sentiment Analysis, etc.
 </li>
 <li>
 Experience/knowledge of LLMs, LSTMs, GRUs, transformers will be an advantage. Experience of working in large teams and using collaboration tools like GIT, Jira and Confluence is expected. A good understanding of any of the cloud platforms &ndash; AWS, Azure or GCP.
 </li>
 </ul>
 
 
 
 
 
 Soft Skills:
 
 
 <ul>
 <li>
 Work closely with cross-functional teams, including clinical data engineers, clinical data modelers, front end developers, QA/CSV specialists, clinical SMEs, project managers, and cloud/infrastructure professionals, to understand project requirements and deliver high-quality solutions.
 </li>
 <li>
 Maintain thorough documentation of methodologies, processes, and results of the models. Prepare and present detailed reports on assigned projects to stakeholders, including client and internal leadership illustrating the impact and effectiveness of data-driven strategies.
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Gurugram, Noida, Bengaluru, Hyderabad, Pune
 
 
 
 
 
 
 Qualifications:
 
 
 <ol>
 <li>
 A Master's or Ph.D. degree in Data Science, Computer Science, Statistics, Life Sciences, or a strong experience in clinical data science is preferred.
 </li>
 <li>
 At least 8 years of hands-on experience in data analysis, data mining, and predictive analytics, preferably within the context of clinical R&amp;D.
 </li>
 <li>
 Strong understanding of clinical R&amp;D processes in life sciences organizations and the data and technologies used in these processes.
 </li>
 <li>
 Proven programming skills in Python/PySpark. Experience with machine learning frameworks like TensorFlow, Keras, PyTorch, or Scikit-learn.
 </li>
 <li>
 Proficiency in using analytical and data visualization tools such as SQL, Tableau, Power BI, or similar platforms.
 </li>
 <li>
 Excellent communication skills with the ability to convey complex data-driven insights to non-technical stakeholders.
 </li>
 <li>
 Results-oriented mindset, with a focus on defining and measuring success and delivering tangible outcomes.
 </li>
 <li>
 High ethical standards and integrity, with a commitment to compliance and transparency.
 </li>
 </ol>
</div>

Clinical Data Scientist

Qualitest

<div>
 Job description:
 
 
 Data Scientist &ndash; QA &amp; AI Enablement
 
 
 Role Summary
 
 
 
 We are seeking one Data Scientist to join the Hub component of the Client hub-and-spoke engagement model.The Data Scientist will play a key role in supporting the deployment, refinement, and optimization of Coco bots and AI-driven quality engineering initiatives.
 
 Key Responsibilities
 <ul>
 <li>
 
 Participate in daily stand-up meetings, provide status updates, highlight risks, and deliver daily and weekly status reports.
 
 </li>
 <li>
 
 Collaborate with business and technical stakeholders to gather representative and high-quality datasets for AI model development and testing.
 
 </li>
 <li>
 
 Perform statistical analysis, data visualization, data cleansing, and preparation of datasets for AI/ML testing and validation.
 
 </li>
 <li>
 
 Evaluate the effectiveness, reliability, and accuracy of new and existing data sources using appropriate data assessment techniques.
 
 </li>
 <li>
 
 Apply predictive modeling techniques to improve QA efficiency and optimize broader business outcomes.
 
 </li>
 <li>
 
 Coordinate with cross-functional teams to implement data models and monitor their operational outcomes.
 
 </li>
 <li>
 
 Develop and maintain processes, metrics, and tools to continuously monitor model performance, data quality, and accuracy over time.
 
 </li>
 </ul>
 Required Skills &amp; Experience (Must Haves)
 <ul>
 <li>
 
 
 AI / Machine Learning:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Predictive Modeling:
 
 Proficiency level 4/5
 
 </li>
 <li>
 
 
 Data Modeling Implementation:
 
 Proficiency level 3/5
 
 </li>
 </ul>
</div>

Data Scientist- QA and AI  Enablement

LTIMindtree

<div>
 
 
 Job Title: Data Scientist &ndash; AI/ML/DL
 
 
 
 
 
 
 
 
 
 
 Location:
 
 PAN India
 
 
 
 
 
 
 
 
 
 About the Role:
 
 
 
 We are seeking a skilled Data Scientist with expertise in AI/ML/DL and Generative AI to join our dynamic team. The ideal candidate will have hands-on experience in advanced AI frameworks, cloud platforms, and modern data science tools.
 
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Design, develop, and deploy AI/ML/DL models for real-world applications.
 </li>
 <li>
 Work on Generative AI solutions and multi-modal language models.
 </li>
 <li>
 Collaborate with cross-functional teams to deliver scalable AI solutions.
 </li>
 <li>
 Optimize models for performance and accuracy across platforms.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 
 Experience:
 
 3&ndash;6 years in Data Science and AI/ML/DL domain.
 </li>
 <li>
 Hands-on experience in
 
 Generative AI
 
 and
 
 Deep Learning
 
 .
 </li>
 <li>
 Strong programming skills in
 
 
 Python
 
 
 
 and familiarity with
 
 
 
 Linux/Windows
 
 
 
 environments.
 
 </li>
 <li>
 
 
 Proficiency with data science toolkits:
 
 
 
 TensorFlow
 
 ,
 
 Keras
 
 ,
 
 PyTorch
 
 ,
 
 Pandas
 
 ,
 
 NumPy
 
 , etc.
 </li>
 <li>
 
 
 Understanding of AI tool stack:
 
 NeMo Framework
 
 ,
 
 NIMs
 
 .
 </li>
 <li>
 
 
 Certifications:
 
 
 
 
 Preferably NVIDIA Certified Associate on GenAI.
 </li>
 <li>
 
 
 Exposure to GenAI frameworks:
 
 
 LangChain, LlamaIndex, LangGraph, CrewAI, Nemo Agent Toolkit (NAT).
 </li>
 <li>
 
 
 Knowledge of DL/GenAI algorithms:
 
 Transformers
 
 ,
 
 CNN
 
 ,
 
 RNN
 
 , etc.
 </li>
 <li>
 Experience with
 
 NLP
 
 ,
 
 Large Language Models
 
 , and multi-modal models like GPT, LLaMa, Mistral, Qwen, Nemotron.
 </li>
 <li>
 Familiarity with
 
 Cloud platforms
 
 : Azure, AWS, or GCP.
 </li>
 <li>
 Experience with
 
 Git
 
 ,
 
 Docker
 
 , and
 
 Kubernetes
 
 .
 </li>
 <li>
 Strong problem-solving and analytical skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Work on cutting-edge AI/ML projects.
 </li>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Flexible location across PAN India.
 </li>
 </ul>
 
 
 
</div>

Data Scientist – AI/ML/DL

Microsoft

<div>
 
 Overview
 
 
 
 Come build community, explore your passions and do your best work at Microsoft with thousands of University interns from every corner of the world. This opportunity will allow you to bring your aspirations, talent, potential&mdash;and excitement for the journey ahead.
 
 
 As a Data Scientist Intern at Microsoft, you will use machine learning, statistics, experiments, and more to build and improve great products while making business impact. As a Data Scientist intern you will collaborate with stakeholders, formulate approaches to solve problems and use algorithms and data sources in the context of business and engineering needs. You will also be able to combine your engineering abilities with analytical skills to make customer experiences better. Our Data Scientists use innovative methods, algorithms and tools daily to drive results throughout Microsoft devices, operating systems, products, and services and provide novel insights into business and customer scenarios.
 
 
 At Microsoft, Interns work on real-world projects in collaboration with teams across the world, while having fun along the way. You&rsquo;ll be empowered to build community, explore your passions and achieve your goals. This is your chance to bring your solutions and ideas to life while working on cutting-edge technology.
 
 
 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
 
 
 
 <ul>
 <li>
 Formulate approaches to solve problems using well defined algorithms and data sources
 </li>
 <li>
 Incorporate an understanding of product functionality and customer perspective to provide context for those problems.
 </li>
 <li>
 Use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data.
 </li>
 <li>
 Interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.
 </li>
 <li>
 Engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers.
 </li>
 <li>
 Participate in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Currently pursuing a Bachelors Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field.
 </li>
 <li>
 Must have at least one additional quarter/semester of school remaining following the completion of the internship
 
 
 </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 Science INTERN

Syngene International Limited

<div>
 Date: 29 Dec 2025
 
 
 Location:
 
 
 Bangalore, KA, IN, 560100
 
 
 Division: Discovery Services
 
 
 
 Job Description
 
 
 
 Designation: Bioanalytical Manager/ Project Leader, Small Molecule Bioanalytical Research Laboratory, Clinical Development
 
 
 Job Location: Bangalore, India
 
 
 Reporting to: Group Leader of Small Molecule Bioanalytical Laboratory
 
 
 Job Grade: Level 8-II
 
 
 The Company
 
 
 Syngene International Ltd. (BSE: 539268, NSE: SYNGENE, ISIN: INE398R01022), is an integrated research, development, and manufacturing solutions company serving the global pharmaceutical, biotechnology, nutrition, animal health, consumer goods, and specialty chemical sectors. Syngene&rsquo;s 4500+ scientists offer both the skills and capacity to deliver great science, robust data management and IP security, and quality manufacturing at speed, to improve time-to-market and lower the cost of innovation. With a combination of 1.9 Mn sq ft of specialist discovery, development and manufacturing facilities, as well as dedicated research facilities for Amgen, Baxter, Bristol-Myers Squibb and Herbalife, Syngene works with biotech companies pursuing leading edge science as well as multinationals including GSK and Merck KGaA.
 
 
 The Role
 
 
 The Manager/ Project Leader for the Small Molecule Bioanalytical Laboratory is a technical leadership role responsible for overseeing studies conducted in the laboratory. Job responsibilities include performing critical method development and validation programs, technical and regulatory compliance of all studies.
 
 
 This role requires an individual with a robust background in pharmaceutics, or other related life sciences, coupled with extensive experience in the bioanalytical field, particularly within small molecule bioanalysis.
 
 
 This role demands an individual with a strong commitment to compliance, integrity, and excellence in bioanalytical research, particularly in small molecule analysis. The role reports to the Group Leader/ HOD, Small Molecule Bioanalytical Laboratory and is a full-time position based out of Bangalore, India.
 
 
 
 Key Responsibilities Of The Role
 
 
 
 <ul>
 <li>
 Perform the bioanalytical work including method development, method validation and study sample analysis as per the protocol in compliance with SOPs, STPs.
 </li>
 <li>
 Guide the Scientist / Research Associates as and when required, to execute method development / method validation / study sample analysis experiments.
 </li>
 <li>
 Coordinate with maintenance department for any problems related to utilities and equipment / instrument (e.g. LC-MS/MS, HPLC, etc) failures.
 </li>
 <li>
 Review data generated, entries made in official documents and analytical results.
 </li>
 <li>
 Coordinate with QA personnel for study-based audits.
 </li>
 <li>
 Coordinate with documentation personnel and reporting writing team for preparation of MV report and bioanalytical report.
 </li>
 <li>
 Ensure all studies adhere to regulatory guidelines and expectations set by GCP/ GLP.
 </li>
 <li>
 Conduct routine reviews of method development, transfer, validation, and sample analysis data and reports, ensuring high-quality deliverables.
 </li>
 <li>
 Participate in all discussions on project-specific scientific details.
 </li>
 <li>
 Demonstrate high levels of leadership and accountability towards agreed goals.
 </li>
 <li>
 Oversee performance management and assessment of reporting staff, fostering a culture of excellence and continuous improvement.
 
 
 </li>
 </ul>
 Education and Experience
 
 
 
 Education
 
 
 
 Master&rsquo;s or PhD in Pharmaceutics or other related life sciences from a reputed university.
 
 
 
 Industry Experience
 
 
 
 <ul>
 <li>
 Hands-on experience in small molecule regulated bioanalytical experiments
 </li>
 <li>
 Experience in scientific, technical troubleshooting and guiding high performing small molecule teams
 
 
 </li>
 </ul>
 
 People Leadership Experience
 
 
 
 Proven ability in managing and developing teams
 
 
 
 Exposure And Experience
 
 
 
 Experience with working for a Bioanalytical CRO lab will be an added advantage.
 
 
 
 Core Competencies Required For The Role
 
 
 
 <ul>
 <li>
 Scientific:
 </li>
 <ul>
 <li>
 Brings a creative and an innovative advantage to projects
 </li>
 <li>
 Is curious, eager to learn and make a difference
 </li>
 <li>
 Thinks scientifically and understands the problem statement in assigned programs/assays
 </li>
 <li>
 Understands the MOA of the drug, the patient population and the related assay strategy
 </li>
 <li>
 Publishes posters, papers and articles regularly
 </li>
 </ul>
 <li>
 Technical
 </li>
 <ul>
 <li>
 Conducts/plans experiments without errors and gaps
 </li>
 <li>
 Reports/analyzes data punctually and communicates effectively
 </li>
 <li>
 Troubleshoots and investigates logically (is able to defend the logic behind experimental results)
 </li>
 <li>
 Is able to forecast risks and make mitigation plans ahead of time
 </li>
 <li>
 Has good organizational, project management and client engagement skills
 </li>
 </ul>
 <li>
 Documentation
 </li>
 <li>
 Records data as per ALCOA++ policy
 </li>
 <li>
 Pays attention to detail
 </li>
 <li>
 Is punctual in responding to QC and QA reports
 </li>
 <li>
 Displays minimal audit finding index
 </li>
 <li>
 Writes clearly and concisely with English skills at &gt;B+
 
 </li>
 </ul>
 Equal Opportunity Employer
 
 
 It is the policy of Syngene to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by applicable legislation or local law. In addition, Syngene will provide reasonable accommodations for qualified individuals with disabilities.
 
 
 Pls visit us at https://syngeneintl.com/ to know more about us and what we do.
</div>

Assistant Manager

Emmes Group

<div>
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 <ul>
 <li>
 Bengaluru, India
 </li>
 <li>
 Medical &amp; Safety
 </li>
 <li>
 Yes
 </li>
 <li>
 Regular Full-Time
 </li>
 <li>
 2748
 
 
 </li>
 </ul>
 Emmes Global
 
 
 mail_outline
 
 
 Get future jobs matching this search
 
 
 or
 
 
 
 Overview
 
 
 
 Job Description
 
 
 
 Job Posting Title
 
 
 
 
 India Bengaluru - hybrid
 
 
 
 Emmes Group: Building a better future for us all.
 
 
 Emmes Group is transforming the future of clinical research, bringing the promise of new medical discovery closer within reach for patients. Emmes Group was founded as Emmes more than 47 years ago, becoming one of the primary clinical research providers to the US government before expanding into public-private partnerships and commercial biopharma. Emmes has built industry leading capabilities in cell and gene therapy, vaccines and infectious diseases, ophthalmology, rare diseases, and neuroscience.
 
 
 We believe the work we do will have a direct impact on patients&rsquo; lives and act accordingly. We strive to build a collaborative culture at the intersection of being a performance and people driven company. We&rsquo;re looking for talented professionals eager to help advance clinical research as we work to embed innovation into the fabric of our company. If you share our motivations and passion in research, come join us!
 
 
 
 Primary Purpose
 
 
 
 The Medical Officer has functional responsibility for medical monitoring of clinical trials, medical reviewing of activities and for broad spectrum of internal and external medical consulting, including, but not limited to, advising related to protocol development, preparation of medical strategy for feasibility studies, involvement in bid preparation and bid defense meetings, delivery of medical trainings for relevant stakeholders, professional engagement with external clinical experts, etc.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Works directly with the Head of Pharmacovigilance and Medical Monitoring, in managing both corporate and project-related activities. Cooperates directly with Safety Monitors, Project Leadership, Data Managers and other relevant functional groups.
 </li>
 <li>
 </li>
 <li>
 At the project level, will function in the role of a Medical Monitor leading the clinical trial monitoring of safety and efficacy data for the assigned protocols in scope of the contract with the client and in compliance with relevant SOP and/or other relevant study specific documents.
 </li>
 <li>
 Provides safety oversight throughout the lifecycle of the clinical study including evaluation, assessment, and monitoring of safety events and protocol deviations.
 </li>
 <ul>
 <li>
 Cooperates with Safety Monitors to implement safety management activities and achieve study project objectives.
 </li>
 <li>
 Evaluates adverse events, serious adverse events (SAE) including expedited reporting, as well as other protocol defined safety events.
 </li>
 <li>
 Reviews SAE narratives and other safety reports.
 </li>
 <li>
 Reviews IND/IDE safety reports (MedWatch safety reports, FDA Form 3500A), Council for International Organizations of Medical Sciences (CIOMS) safety reports, Development Safety Update Reports (DSUR), and other aggregate reports as applicable.
 </li>
 <li>
 Reviews and approves Medical Dictionary for Regulatory Activities (MedDRA) and WHO Drug coding.
 </li>
 <li>
 Reviews the FDA MedWatch Alerts, safety communications and/or other communications from other relevant Regulatory Authorities and recommends action for implementation by study teams, as applicable.
 </li>
 </ul>
 <li>
 Provides medical input during development of protocol and associated documents &ndash; in scope agreed with the client, primarily focusing on the safety aspect of the clinical development.
 </li>
 <ul>
 <li>
 Advises study sponsor and study team on protocol development, inclusion/exclusion criteria, eligibility questions, protocol study design and halting rules, etc.
 </li>
 <li>
 Per agreement with client ensures the medical and scientific quality of safety sections of documents such as clinical trial protocols, investigator&rsquo;s brochure, informed consent document, patient diaries, and case report forms.
 </li>
 <li>
 Works directly with project-level staff to develop appropriate study documents and project plans (e.g., Safety Monitoring Plan, Medical Monitoring Plan, Communication Plan, and Training Plan).
 </li>
 <li>
 Supports preparation of safety section of clinical trial reports such as annual reports and clinical study reports.
 </li>
 </ul>
 <li>
 Engages with safety oversight committees (SOC) and consults with sponsors, investigators, and pharmaceutical partners, as appropriate.
 </li>
 <ul>
 <li>
 Participates in safety oversight committee meetings (DSMB/DMC/SMC); answers questions about safety monitoring and related procedures (e.g., review of halting rules).
 </li>
 <li>
 Reviews SOC Charter, safety reports, and meeting minutes.
 </li>
 <li>
 Participates in sponsor meetings and investigator training meetings.
 </li>
 <li>
 Participates in regulatory (FDA or other) meetings and scientific review meetings.
 </li>
 <li>
 Interacts with pharmaceutical companies and other study partners.
 </li>
 </ul>
 <li>
 Cooperates with business development teams as medical expert, participates in bid preparation and bid presentations.
 </li>
 <li>
 Acts as the internal medical consultant in broad spectrum of activities, e.g., prepares medical strategy for the feasibility activities and proposal of country mix, ensures relevant medical training for the assigned project staff, engages with identified external consultants to gain information from clinical practice, etc.
 </li>
 <li>
 If contracted with client and if relevant to level of own medical expertise, Medical Officer provides broad spectrum of medical consultancy services, including medical review of relevant documents and/or data (e.g., clinical study specific documents, clinical study report, training materials, scientific communication or communication materials with medical content, etc.).
 </li>
 <li>
 Participates in corporate process improvement and corporate quality assurance activities through Internal Quality Audit Team (IQAT) processes, SOP development, participation in internal and external audits, and professional development activities.
 </li>
 <li>
 Other corporate activities include annual SOP reviews, participation in corporate safety meetings/activities, and other relevant corporate activities.
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Medical Doctor (MD, MBBS, MBBCh, or other equivalent) degree is required.
 </li>
 <li>
 2 years of working experience, preferably a combination of clinical practice and experience in the area of pharmaceutical medicine (i.e., clinical research, pharmacovigilance, medical affairs, regulatory etc.).
 </li>
 <li>
 Demonstrated clinical medicine expertise through practice experience preferred.
 </li>
 <li>
 Excellent clinical judgement and ability to communicate complex clinical issues in a scientifically sound and understandable way.
 </li>
 <li>
 Experience working with regulatory submissions.
 </li>
 <li>
 Expertise in safety and/or medical monitoring and serious adverse event reporting preferred.
 </li>
 <li>
 Demonstrated experience with or training in clinical trial data collection.
 </li>
 <li>
 Ability to work as a team member and function on a cross-functional team.
 </li>
 <li>
 Ability to direct activities and encourage positive team-based culture.
 </li>
 <li>
 Capacity to provide leadership and creativity in the work environment.
 </li>
 <li>
 Excellent verbal and written communication skills.
 
 
 </li>
 </ul>
 
 CONNECT WITH US!
 
 
 
 
 Follow us on Twitter - @EmmesCRO
 
 
 
 
 Find us on LinkedIn - Emmes
 
 
 
</div>

Medical Officer

Tiger Analytics

<div>
 
 Work Location - Chennai, Bangalore, Hyderabad
 
 
 
 
 
 
 About the role:
 
 
 
 As a Analyst or Senior Analyst - BFS, you will work with Clients in Banking &amp; Financial Services, &amp; help translate business problems into unambiguous analytics problem statements and design analytical frameworks to address them. On a typical work day, you could be doing one or more of the following:
 
 <ul>
 <li>
 Collaborate with the team of data scientists and engineers to plan and drive the execution of business solutions
 </li>
 <li>
 Contribute to client presentations, reports, QBRs etc
 </li>
 <li>
 Handle client discussions in structured project settings
 </li>
 </ul>
 
 
 
 
 
 Domain Understanding:
 
 
 <ul>
 <li>
 Awareness of the Banking regulatory landscape
 </li>
 <li>
 Awareness of common AI and automation use cases in BFS (fraud detection using ML, credit scoring, robo-advisors, chatbots). Can identify basic applications of analytics in operations.
 </li>
 <li>
 Knowledge of the concepts in any or multiple use cases like customer segmentation, CLTV, Customer attrition and retention, next best product/cross sell and has had contributed hands on to atleast a part of any of these project if not end to end. Involvement in atleast any one of Model Validation, Model Performance Monitoring and Model Development is desired
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience:
 
 
 <ul>
 <li>
 1-3 years of relevant experience in Analytics projects in BFS domain for any geography
 </li>
 <li>
 At least 1 year of experience working for global Banks or financial services in the area of either Credit, Fraud, Marketing, Operations etc.. on AI or analytics engagements
 </li>
 <li>
 Strong communication &amp; experience in client communication.
 </li>
 <li>
 Awareness of storytelling with PPT &amp; has effectively communicated with clients to understand their basic requirements, communicate status updates, or escalation calls
 </li>
 <li>
 Hands-on experience in preparing
 
 Powerpoint / Google Slides
 
 presentations &amp; presenting them to key stakeholders
 </li>
 <li>
 Hands-on experience with
 
 Excel/ Google Sheets
 
 to review, sanitize, manipulate data
 </li>
 <li>
 Hands-on experience of querying data using
 
 SQL
 
 on traditional RDBMS databases, and/or big data environments such as Hadoop/Hive/Spark.
 </li>
 <li>
 Ability to analyse and visualize data one or more tools such as
 
 Tableau, PowerBI
 
 </li>
 <li>
 Intermediate experience in DS/ML/AI programming tool of
 
 Python
 
 </li>
 <li>
 Exposure to low-code no-code tools GPT, CLausde, Lovable, Gemini
 </li>
 <li>
 Appreciation of different types of Statistical / Machine Learning / AI techniques, when and why they are used
 </li>
 <li>
 Interpret results from a business viewpoint (the expectation is not a data scientist expert-level proficiency, but a clear conceptual understanding)
 </li>
 <li>
 Ability to leverage analytics to solve structured or unstructured problems and interpret results
 </li>
 </ul>
 
 
</div>

Analyst | Senior Analyst - Banking & Financial Services

Explore 268+ Clinical data scientist in Associate Talent Acquisition Advisory Consulting Ifs Bangalore Jobs In Mangaluru this January. Find roles across top companies and apply now to boost your career.