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Brillio

<div>
 
 Senior Data Specialist
 
 
 
 
 Primary Skills
 
 
 
 <ul>
 <li>
 Data Analysis, AI/ML
 
 
 </li>
 </ul>
 Job requirements
 
 
 <ul>
 <li>
 5+ years of experience in Data Science, AI, ML GenAI experience Experience in implementing AI use cases
 </li>
 </ul>
</div>

Senior Data Scientist - R01557312

Google

<div>
 
 Minimum qualifications:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 8 years of work experience using analytics to solve product or business problems, performing statistical analysis, and coding (e.g., Python, R, SQL), or 5 years work experience with a Master's degree.
 
 
 </li>
 </ul>
 
 Preferred qualifications:
 
 
 
 <ul>
 <li>
 Advanced degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
 </li>
 <li>
 Experience with conceptualizing and implementing scalable data pipelines.
 </li>
 <li>
 Experience with statistical packages (e.g., R, Python, etc.) to perform forecasting, segmentation, and classification.
 </li>
 <li>
 Knowledge of basic statistics and commonly used statistical methods (e.g., hypothesis testing, regression, cohort analysis, etc.).
 </li>
 <li>
 Strong data visualization skills, including building dashboards and visualizations for business reviews and executive-level presentations.
 
 
 </li>
 </ul>
 
 About The Job
 
 
 
 Help serve Google's worldwide user base of more than a billion people. Data Scientists provide quantitative support, market understanding and a strategic perspective to our partners throughout the organization. As a data-loving member of the team, you serve as an analytics expert for your partners, using numbers to help them make better decisions. You will weave stories with meaningful insight from data. You'll make critical recommendations for your fellow Googlers in Engineering and Product Management. You relish tallying up the numbers one minute and communicating your findings to a team leader the next.
 
 
 Developer and Sustainability team&rsquo;s mission is to apply data science to enable Geo in driving developer growth and planetary sustainability. We enable driven decision making across the Geo Makers organization (made up of Geo Developer and Geo Sustainability areas) to influence strategy, drive impact and unlock sustainable product growth.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead the transformation of our self-serve analytics platform by introducing new metrics and drill downs to assist with self-serve diagnostics at scale, and driving integrations with GenAI tooling (NotebookLM, SQLMiner) to scale insight generation capabilities.
 </li>
 <li>
 Utilize technology to address new problem areas with segmentation analysis, recommender systems and GenAI applications. Build self-serve tooling and dashboarding to enable data driven decision making across the organization at scale.
 </li>
 <li>
 Collaborate on in-depth analytical projects, uncover insights and evaluate headroom to drive product enhancements which improve our developer experience. Surface insights around emerging markets (India and other APAC countries) that help teams understand users and guide global data improvement strategy.
 </li>
 <li>
 Design, execute and analyze experiments to evaluate growth levers and regional launches.
 
 
 
 </li>
 </ul>
 Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
</div>

Senior Data Scientist, Product, Geo Data Science

Accenture in India

<div>
 
 Job Title -
 
 
 S&amp;C Global Network - AI - Healthcare Analytics - Consultant
 
 
 
 
 Management Level:
 
 
 9-Team Lead/Consultant
 
 
 
 
 Location:
 
 
 Gurgaon/Bangalore/Mumbai
 
 
 
 
 Must-have skills:
 
 Phython, Spark,SQL, Tableau, Power BI
 
 
 
 Good to have skills:
 
 Ability to leverage design thinking, business process optimization, and stakeholder management skills.
 
 
 
 Job Summary:
 
 
 
 This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions.
 
 
 
 Roles &amp; Responsibilities:
 
 
 
 Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.
 
 
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 <ul>
 <li>
 Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data.
 </li>
 <li>
 Develop predictive models using data science and AI techniques to address client needs.
 </li>
 <li>
 Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources.
 </li>
 <li>
 Collaborate with cross-functional teams to implement analytics solutions effectively.
 </li>
 <li>
 Translate complex data findings into clear, concise, and actionable strategies.
 
 
 
 </li>
 </ul>
 
 What You Would Do In This Role
 
 
 
 <ul>
 <li>
 Work with Managers to get Client's business requirements and deliver Analytics driven solution.
 </li>
 <li>
 Duties and Responsibilities:
 </li>
 <ul>
 <li>
 Sr. Data Scientist responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems.
 </li>
 <li>
 Present analytic findings &amp; opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization.
 </li>
 <li>
 Build knowledge base and disseminate information on applications of variety of analytical techniques.
 </li>
 <li>
 Develop statistical models and delivery of analytic offerings and solutions in health domain areas.
 
 
 
 </li>
 </ul>
 </ul>
 
 Professional &amp; Technical Skills:
 
 
 
 <ul>
 <li>
 Relevant experience in the required domain.
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills.
 </li>
 <li>
 Ability to work in a fast-paced, dynamic environment.
 
 
 
 </li>
 </ul>
 
 Additional Information:
 
 
 
 <ul>
 <li>
 Opportunity to work on innovative projects.
 </li>
 <li>
 Career growth and leadership exposure.
 
 
 
 </li>
 </ul>
 
 About Our Company | Accenture
 
 
 
 ,
 
 
 
 Experience:
 
 
 4-8 Years in Healthcare Analytics
 
 
 
 
 Educational Qualification:
 
 
 Bachelor's / master&rsquo;s degree in computer science, statistics, applied mathematics, or a related field.
 
</div>

S&C Global Network - AI - Healthcare Analytics - Manager

Data Scientist, Product Analytics

LSEG

<div>
 Proud to share LSEG in the India is Great Place to Work certified (Jun &rsquo;25 &ndash; Jun &rsquo;26).
 
 
 Learn more about life and purpose of our company directly from India colleagues&rsquo; video: Bengaluru, India | Where We Work | LSEG
 
 
 The Entity Content team collects, manages, and supplies content for various datasets across FCO. This content is used extensively across and beyond Refinitiv/LSEG and is a critical asset to a wide range of Refinitiv/LSEG products.
 
 
 The Content Specialists will be accountable for delivering on Key Projects related to Business Cases, database and supporting Data Strategy teams and will contribute to the delivery of the content roadmap to fulfil all business requirements.
 
 
 
 The role of the Data Scientist is to:
 
 
 
 Design and develop new methodologies, quantitative models, analysis and commentary (as relevant) that enhance existing or new processes. Maintain existing product performance and independent analysis standards. Internally, work with various departments to grow new ideas and expand the scope of existing products.
 
 
 
 Essential Day-to-Day Responsibilities:
 
 
 
 <ul>
 <li>
 Data handling, data processing and programming
 </li>
 <li>
 Develop automated solutions for sourcing/loading Entity data into Database
 </li>
 <li>
 Analyze Legal entity content to establish patterns/trends
 </li>
 <li>
 Develop, improve and run quantitative models
 </li>
 <li>
 Generate solutions through machine learning for core processes
 </li>
 <li>
 Work with business, content and product groups for large-scale analytics problems
 </li>
 <li>
 Build POCs, visualizations and pipeline tools for product design and development
 </li>
 <li>
 Work with development groups for deployment of analytics solutions
 </li>
 <li>
 Interact with other internal teams as needed, with supervision.
 
 
 </li>
 </ul>
 
 Knowledge &amp; Skills:
 
 
 
 <ul>
 <li>
 Extensive experience using Python or R or equivalent
 </li>
 <li>
 Proficient in using tools and libraries such as scikit-learn, numpy, pandas and jupyter
 </li>
 <li>
 Solid relational database skills
 </li>
 <li>
 Solid understanding of statistics and statistical language such as R
 </li>
 <li>
 Ability to handle large quantities of data
 </li>
 <li>
 Narrate stories (to technical and mostly non-technical audience) about our content and processes by data analysis and visualization
 </li>
 <li>
 Strong written, communication and presentation skills. Able to respond and present work to peers, senior management and other stakeholders
 
 
 </li>
 </ul>
 
 Qualification:
 
 
 
 <ul>
 <li>
 Higher education in Statistics, Mathematics or Engineering in Computer Science with Data science certification
 
 
 </li>
 </ul>
 At LSEG, we believe that creating a diverse and inclusive organization is fundamental to the way we deliver on our promise of creating essential partnerships and open opportunities. Our open culture is central to how we deliver our purpose &ndash; driving financial stability, empowering economies and enabling customers to create sustainable growth &ndash; in everything we do.
 
 
 Working with us means that you will be part of a dynamic organization of 25,000 people across 70 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. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.
 
 
 LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
 
 
 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 any mental health or physical disability needs.
 
 
 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.
 
 
 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>

Data Scientist

Morgan Stanley

<div>
 
 Morgan Stanley
 
 
 
 
 Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering
 
 
 
 We&rsquo;re seeking someone to join our team as Vice President - Data Scientist to help with designing and implementing complex Machine Learning and Artificial Intelligence models and solving business problems using various Analytical and AI tools.
 
 
 In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Software Engineering position at Vice President level, which is part of the job family
 
 
 responsible for developing and maintaining software solutions that support business needs.
 
 
 Institutional Securities Technology (IST) develops and oversees the overall technology strategy and bespoke technology solutions to drive and enable the institutional businesses and enterprise-wide functions. IST&rsquo;s &lsquo;clients&rsquo; include Fixed Income, Equities, Commodities, Investment Banking, Research, Prime Brokerage and Global Capital Markets.
 
 
 Advisory is responsible for end-to-end process life cycle support for Investment Banking, Global Capital Markets and Research with a focus on efficiency, scale, and time to market. Sales Distribution develops technology for the firm's IED and FID Sales and Distribution business units, creating application synergies across the businesses various platforms
 
 
 Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
 
 
 
 What You&rsquo;ll Do In The Role
 
 
 
 <ul>
 <li>
 Communicate regularly with product leads across the technology organization and discuss opportunities for improvement to existing and future technology solutions
 </li>
 <li>
 The role will require the candidate to work independently with Research business and vendors on analysing and defining problem statements, and work closely with development teams on designing and implementing the solution and managing the delivery of various products.
 </li>
 <li>
 Provide technical leadership and vision for software development projects.
 </li>
 <li>
 Define technical architecture and roadmap for large-scale, mission-critical systems.
 </li>
 <li>
 Establish and communicate departmental goals and objectives aligned with business priorities.
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring To The Role
 
 
 
 <li>
 Ability to effectively manage multiple functions or guide junior staff and initiatives.
 </li>
 <li>
 Advanced understanding of business line and discipline with some knowledge of competitive environment and other disciplines.
 </li>
 <ul>
 <li>
 10+ years of experience in designing and implementing AI/ML models in the following areas:
 </li>
 <li>
 Supervised &amp; Unsupervised Learning
 </li>
 <li>
 Deep Learning (CNN, RNN, LSTM, Transformers)
 </li>
 <li>
 Prompting, HybridRAG, Chunking/Embedding, and Fine Tuning experience with OpenAI models and open source LLMs
 </li>
 <li>
 Natural Language Processing (Sentiment Analysis, Embeddings, Summarization, Chatbot etc.)
 </li>
 <li>
 Entity identification/extraction and knowledge discovery from structured and unstructured content
 </li>
 <li>
 Expert in Python, R, Spark, TensorFlow, Snowflake, Databricks and other machine learning / LLM tools
 </li>
 <li>
 Familiar with noSQL and vector databases
 </li>
 <li>
 Experience in CPU/GPU cloud environments
 </li>
 <li>
 Excellent communication skills and basic knowledge in finance
 </li>
 <li>
 PhD or Master&rsquo;s degree in Mathematics, Statistics, Data Science, Computer Science, or other related fields
 </li>
 <li>
 At least 6 years' relevant experience would generally be expected to find the skills required for this role
 
 
 </li>
 </ul>
 
 What You Can Expect From Morgan Stanley
 
 
 
 We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 years. Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren&rsquo;t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you&rsquo;ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There&rsquo;s also ample opportunity to move about the business for those who show passion and grit in their work.
 
 
 To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
 
 
 Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.
</div>

Data Scientist/Gen AI_Software Engineering - Vice President - Software Engineering

Sigmoid

<div>
 Sigmoid Analytics is a leading Data solutions company backed by Sequoia Capital. We o&fflig;er best in- end-to-end data value chain spanning across Data Science, Data Engineering and Data Ops. With data and technology at the core of our solutions, we are solving some of the toughest problems out there. Our culture is modelled around expertise and mutual respect with a team first mindset. You'll work with teams that push the boundaries of what-is-possible and build solutions that energize and inspire.
 
 
 
 Offices
 
 : New York | Dallas | San Francisco | Lima | Bengaluru
 
 
 The below role is for our Bengaluru office.
 
 
 
 About the Role
 
 :
 
 
 You will work on a broad range of cutting-edge data science and machine learning problems across a variety of industries. You will be engaging with clients to understand their business context. If you are passionate to work on complex unstructured business problems that can be solved using data science and machine learning, we would like to talk to you.
 
 
 
 Role: ALDS
 
 
 
 
 Mandate
 
 
 Skills &amp; Competencies:
 
 
 
 <ul>
 <li>
 Experience in Programming (Python, R, SQL, NoSQL, Spark) with ML tools &amp; Cloud Technology (AWS, Azure, GCP)
 </li>
 <li>
 Experience in Python libraries such as NumPy, pandas, scikit-learn, tensor-flow, scapy, scrapy, BERT etc.
 </li>
 <li>
 Good understanding in statistics, and ability to design statistical hypothesis testing to aid formal decision making.
 </li>
 <li>
 Develops predictive models using Machine Learning algorithms (SVM, Random Forest, Neural Network, Decision Tree, Logistic Regression, K-mean Clustering, linear regression, PCA etc.)
 </li>
 <li>
 Engaging with clients, understanding complex problem statements, and offering solutions in the domains of Retail, Pharma, Banking, Insurance, etc.
 </li>
 <li>
 Contribute to internal product development initiatives related to data science.
 </li>
 <li>
 Develop data science roadmap, and guide data scientist to meet their deliverables.
 </li>
 <li>
 Handling end-to-end client AI &amp; analytics programs. Your role will be a combination of hands-on contribution, technical team management, and client interaction.
 </li>
 <li>
 Proven ability to discover solutions hidden in large datasets and to drive business results with their data-based insights
 </li>
 <li>
 Drive excellent project management required to deliver complex projects, including effort/time estimation.
 </li>
 <li>
 Be proactive, with full ownership of the engagement. Build scalable client engagement level processes for faster turnaround &amp; higher accuracy
 </li>
 <li>
 Define Technology/ Strategy and Roadmap for client accounts, and guides implementation of that strategy within projects
 </li>
 <li>
 Run regular project reviews and audits to ensure that projects are being executed within the guardrails agreed by all stakeholders
 </li>
 <li>
 Manage the team-members, to ensure that the project plan is being adhered to over the course of the project
 </li>
 <li>
 Manage the client stakeholders, and their expectations, with a regular cadence of weekly meetings and status updates.
 </li>
 <li>
 Build a trusted advisor relationship with the IT management at clients and internal accounts leadership.
 </li>
 <li>
 Build business case for technological investments to be made for future needs and to remain competitive
 </li>
 <li>
 Ensure that billing and utilization of team members is maximized throughout the year
 
 
 </li>
 </ul>
 
 Desired Skills:
 
 
 
 <ul>
 <li>
 Experience designing data science solutions to business problems
 </li>
 <li>
 Deep understanding of ML algorithms for common use cases in both structured and unstructured data ecosystems.
 </li>
 <li>
 Comfortable with large scale data processing and distributed computing
 </li>
 <li>
 Allocates workload among team members and by taking into consideration employee availability, skill set, and current workload when making assignments.
 </li>
 <li>
 Providing required inputs to sales, and pre-sales activities
 </li>
 <li>
 Excellent written and verbal communication skills
 
 
 </li>
 </ul>
 
 Desired Experience &amp; Education:
 
 
 
 <ul>
 <li>
 4- 8 years of relevant Machine Learning experience.
 </li>
 <li>
 Minimum Master's Degree in Engineering, Computer Science, Mathematics, Computational Statistics, Operations Research, Machine Learning or related technical fields.
 </li>
 </ul>
</div>

Associate Lead Data Scientist

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